CN102970706B

CN102970706B - The selection method of collaborative feedback collection and base station

Info

Publication number: CN102970706B
Application number: CN201110270286.1A
Authority: CN
Inventors: 佘小明; 姜宇; 陈岚; 刘柳; 须田博人
Original assignee: NTT Docomo Inc
Current assignee: NTT Docomo Inc
Priority date: 2011-08-29
Filing date: 2011-08-29
Publication date: 2018-05-29
Anticipated expiration: 2031-08-29
Also published as: JP2013051682A; JP6054098B2; CN102970706A

Abstract

The invention discloses collaborative feedback collection selection method and eNodeB, wherein, eNodeB receives the reference signal quality parameter of each cell of UE reports；The corresponding decision threshold in each non-service cell is determined according to the reference signal quality parameter of each cell and/or serving cell portfolio and the ratio of the portfolio of each non-service cell respectively；ENodeB calculates the difference of the reference signal quality parameter of serving cell and the reference signal quality parameter of each non-service cell respectively, it and will be compared with the difference that be calculated respectively decision threshold corresponding with each non-service cell, if the difference being calculated is less than decision threshold, corresponding non-service cell is put into collaborative feedback collection.The present invention is according to reference signal quality parameter and/or serving cell portfolio and the size of the ratio dynamic regulation decision threshold of each non-service cell portfolio, so as to fulfill the compromise between feedback overhead and cooperative transmission gain, to obtain larger cooperative transmission gain under smaller feedback overhead.

Description

The selection method of collaborative feedback collection and base station

Technical field

The present invention relates to wireless communication technique, the choosing of collaborative feedback collection in more particularly to a kind of more base station collaborative transmission systems Selection method and the base station for realizing above-mentioned collaborative feedback collection selection method.

Background technology

At present, more base station cooperative transmission (CoMP) technologies have become one of research hotspot of recent wireless communication system, By multiple base stations united scheduling users, signal is sent, inevitable interference signal between conventional cell can be converted into Data, so as to further improve the availability of frequency spectrum.

In more base station collaborative transmission systems, base station eNodeB is usually surveyed for UE allocation radio resources management (RRM) first Quantity set (measurement set), wherein, RRM measurement sets are by UE measuring reference signals is needed to receive the small of power (RSRP) The set that area is formed；Then, UE will be selected to need to report to eNodeB according to preset reporting conditions in RRM measurement sets The cell of RSRP, and report to eNodeB the RSRP of these cells；After eNodeB receives the report of UE, fed back according to UE each The RSRP of cell determines collaborative feedback collection (CoMP feedback set) and definite collaborative feedback collection is allocated to UE, above-mentioned Collaborative feedback collection is the set from UE is needed to be formed to the cell of its serving cell feeding back channel state information (CSI)；Subsequently, UE includes the CSI of cell to eNodeB feedback collaborative feedback collection；Finally, eNodeB is scheduled, in advance according to the UE CSI fed back Coding and signaling and data transmission.Those skilled in the art are appreciated that the size of collaborative feedback collection can usually directly affect The size of cooperative transmission gain, for example, the cooperative transmission gain that collaborative feedback collection bigger (cell included is more) can obtain It will be bigger；On the contrary, the cooperative transmission gain that collaborative feedback collection smaller (cell included is fewer) can obtain will be smaller.This Outside, the size of collaborative feedback collection can also directly affect the size of feedback overhead, for example, the bigger feedback overhead of collaborative feedback collection will It is bigger；The smaller feedback overhead of collaborative feedback collection will be smaller.Therefore, how to determine collaborative feedback collection with equilibrium feedback expense and association It is one of cooperative transmission technology key issue to be solved with transmission gain.

The content of the invention

In view of this, the present invention provides the selection methods and reality of collaborative feedback collection in a kind of more base station collaborative transmission systems The now base station of the collaborative transmission method can realize the compromise between feedback overhead and cooperative transmission gain, with smaller feedback Larger cooperative transmission gain is obtained under expense.

A kind of collaborative feedback collection selection method provided in an embodiment of the present invention includes：

ENodeB receives the reference signal quality parameter of serving cell and the reference signal matter of non-service cell of UE reports Measure parameter；

ENodeB is according to the UE serving cells reported or the reference signal quality parameter and/or serving cell of non-service cell Portfolio and the ratio of the portfolio of each non-service cell determine the corresponding decision threshold in each non-service cell respectively, wherein, institute State growth of the decision threshold with the reference signal quality parameter and/or the portfolio ratio of serving cell or non-service cell And increase；

ENodeB calculates the reference signal quality parameter of serving cell and the reference signal of each non-service cell respectively The difference of mass parameter, and decision threshold corresponding with each non-service cell compares respectively by the difference being calculated Compared with if corresponding non-service cell is put into collaborative feedback collection by the difference being calculated less than decision threshold.

The above method further comprises：ENodeB is maximum from m reference signal quality parameter before collaborative feedback concentration selection The cell concentrated as final collaborative feedback of cell, wherein, m can include the maximum number of cell for collaborative feedback collection.

Wherein, the eNodeB according to the reference signal quality parameter of the UE serving cells reported or non-service cell and/ Or serving cell portfolio determines that each non-service cell is corresponding with the ratio of the portfolio of each non-service cell and sentences respectively Certainly thresholding includes：ENodeB determines a decision threshold according to the reference signal quality parameter of the UE serving cells reported, and will The decision threshold as the corresponding decision threshold in each non-service cell, wherein, the decision threshold is referred to serving cell The growth of signal quality parameter and increase.

ENodeB determines that a decision threshold includes according to the reference signal quality parameter of the UE serving cells reported：It establishes The correspondence of reference signal quality parameter and decision threshold；And joined according to the reference signal quality of the UE serving cells reported Several and described correspondence determines the decision threshold.

Wherein, the correspondence is functional relation y=f (x), wherein, x represents the reference signal quality ginseng of serving cell Number, y represent decision threshold, and in x1>During x2, ensure y1-y2=f (x1)-f (x2)>0.

Alternatively, the eNodeB is according to the UE serving cells reported or the reference signal quality parameter of each non-service cell And/or serving cell portfolio determines that each non-service cell is corresponding respectively with the ratio of the portfolio of each non-service cell Decision threshold includes：ENodeB determines each non-serving respectively according to the reference signal quality parameter of each non-service cell The corresponding decision threshold of cell, wherein, the corresponding decision threshold in each non-service cell is with the reference of each non-service cell The growth of signal quality parameter and increase.

Wherein, eNodeB determines each non-serving respectively according to the reference signal quality parameter of each non-service cell The corresponding decision threshold of cell includes：Establish the correspondence of reference signal quality parameter and decision threshold；And it is reported according to UE The reference signal quality parameter for a certain non-service cell accused and the correspondence determine that the non-service cell is corresponding Decision threshold.

The correspondence is functional relation y=f (x), wherein, x represents the reference signal quality of a certain non-service cell Parameter, y represent the corresponding decision threshold in the non-service cell, and in x1>During x2, ensure y1-y2=f (x1)-f (x2)>0.

Or the eNodeB is according to the UE serving cells reported or the reference signal quality parameter of each non-service cell And/or serving cell portfolio determines that each non-service cell is corresponding respectively with the ratio of the portfolio of each non-service cell Decision threshold includes：ENodeB calculates the ratio of serving cell portfolio and the portfolio of each non-service cell respectively, and The corresponding decision threshold in each non-service cell is determined according to the portfolio ratio respectively, wherein, each non-serving is small The corresponding decision threshold in area increases with the growth of portfolio ratio.

Wherein, determine that the corresponding decision threshold in each non-service cell includes respectively according to the portfolio ratio：It builds The correspondence of vertical portfolio ratio and decision threshold；And according to serving cell portfolio and the business of a certain non-service cell The ratio of amount and the correspondence determine the corresponding decision threshold in the non-service cell.

Wherein, the correspondence is functional relation y=f (x), wherein, x represent the portfolio of serving cell with it is a certain non- The ratio of serving cell portfolio, y represent the corresponding decision threshold in the non-service cell, and in x1>During x2, ensure y1-y2 =f (x1)-f (x2)>0.

Again alternatively, the eNodeB is according to the UE serving cells reported or the reference signal quality parameter of each non-service cell And/or serving cell portfolio determines that each non-service cell is corresponding respectively with the ratio of the portfolio of each non-service cell Decision threshold includes：ENodeB calculates the ratio of serving cell portfolio and the portfolio of each non-service cell respectively, and It is true according to the reference signal quality parameter and portfolio ratio difference of the UE serving cells reported or each non-service cell Determine the corresponding decision threshold in each non-service cell, wherein, the decision threshold is with serving cell or a non-service cell Reference signal quality parameter and portfolio ratio growth and increase.

Wherein, according to the UE serving cells reported or reference signal quality parameter and the business of each non-service cell Amount ratio determines that the corresponding decision threshold in each non-service cell includes respectively：Establish reference signal quality parameter, portfolio The correspondence of ratio and decision threshold；And according to the reference signal quality parameter of serving cell or a certain non-service cell, Serving cell portfolio determines the non-service cell with the ratio of the portfolio of a certain non-service cell and the correspondence Corresponding decision threshold.

Wherein, the correspondence be functional relation y=f (xa, xb), wherein, xa represent UE report serving cell or The reference signal quality parameter of some non-service cell；Xb represents the portfolio ratio of serving cell and some non-service cell；y The corresponding decision threshold in the non-service cell is represented, and in xa1 >=xa2 and xb1 >=xb2, guarantee y1-y2=f (xa1, xb1)-f(xa2,xb2)≥0。

Above-mentioned correspondence can also record in the table.

The reference signal quality parameter includes：Reference Signal Received Power (RSRP) or Reference Signal Received Quality (RSRQ)。

A kind of eNodeB provided in an embodiment of the present invention includes：

Reference signal quality parameter receiving unit, for receiving the reference signal quality of the serving cell of the UE of user reports Parameter and the reference signal quality parameter of non-service cell；

Decision threshold determination unit, for the serving cell or the reference signal quality of each non-service cell reported according to UE Parameter and/or service business amount determine that each non-service cell is corresponding respectively with the ratio of the portfolio of each non-service cell Decision threshold, wherein, the decision threshold is with serving cell or the reference signal quality parameter and/or industry of each non-service cell The growth of business amount ratio and increase；

Collaborative feedback collection determination unit, for calculating the reference signal quality parameter of serving cell and each non-clothes respectively The difference of the reference signal quality parameter for cell of being engaged in, and by the difference being calculated judgement corresponding with each non-service cell Thresholding is compared, if the difference being calculated is less than decision threshold, corresponding non-service cell is put into collaborative feedback collection.

Above-mentioned eNodeB further comprises：

Collaborative feedback collection size limiting unit, for from collaborative feedback concentrate selection before m reference signal quality parameter most The cell that big cell is concentrated as final collaborative feedback, wherein, m can include the maximum number of cell for collaborative feedback collection.

Wherein, decision threshold determination unit includes：First module, for the serving cell reported according to UE or each non-serving The reference signal quality parameter of cell determines the corresponding decision threshold in each non-service cell respectively, wherein, the decision threshold with It the growth of the reference signal quality parameter of serving cell or each non-service cell and increases.

Alternatively, decision threshold determination unit includes：Portfolio ratio calculation module, for calculating serving cell business respectively The ratio of amount and the portfolio of each non-service cell；Second module, it is described each for being determined respectively according to the portfolio ratio The corresponding decision threshold in non-service cell, wherein, the decision threshold increases with the growth of portfolio ratio.

Or decision threshold determination unit includes：Portfolio ratio calculation module, for calculating serving cell industry respectively The ratio of business amount and the portfolio of each non-service cell；3rd module, for the serving cell reported according to UE or each non-serving The reference signal quality parameter of cell and the portfolio ratio determine the corresponding decision gate in each non-service cell respectively Limit, wherein, the decision threshold is with serving cell or reference signal quality parameter and the portfolio ratio of each non-service cell The growth of value and increase.

Another collaborative feedback collection selection method provided in an embodiment of the present invention includes：

ENodeB calculates the reference signal quality parameter of serving cell and the reference signal quality of each non-service cell respectively The difference of parameter, respectively as the corresponding reference signal quality parameter difference in each non-service cell；

ENodeB is respectively by the corresponding reference signal quality parameter difference in each non-service cell and pre-set first Limit is compared and respectively compares the reference signal quality parameter of each non-service cell and preset second thresholding Compared with if the corresponding reference signal quality parameter difference in some non-service cell is less than the first thresholding or some non-service cell refers to Signal quality parameter is more than pre-set second thresholding, then corresponding non-service cell is put into collaborative feedback collection.

The above method further comprises：The Cumulative Distribution Function CDF of statistical fractals cell reference signals mass parameter；It sets One percentage setting value；And the CDF according to serving cell reference signal quality parameter, the second threshold sets are small to service The cumulative distribution of the reference signal quality parameter in area is equal to the reference signal quality parameter value during percentage setting value.

Another eNodeB provided in an embodiment of the present invention includes：

Reference signal quality parameter receiving unit, for receiving the reference signal matter of the serving cell of user terminal UE reports Measure parameter and the reference signal quality parameter of non-service cell；

Reference signal quality parameter difference determination unit, for calculate respectively the reference signal quality parameter of serving cell with The difference of the reference signal quality parameter of each non-service cell is joined respectively as the corresponding reference signal quality in each non-service cell Number difference；

3rd collaborative feedback collection determination unit, for the corresponding reference signal quality parameter difference in each non-service cell and in advance The first thresholding first set be compared and respectively by the reference signal quality parameter of each non-service cell with it is preset Second thresholding is compared, if the corresponding reference signal quality parameter difference in some non-service cell be less than the first thresholding or some Non-service cell reference signal quality parameter is more than pre-set second thresholding, then it is anti-corresponding non-service cell to be put into collaboration Feedback collection.

Above-mentioned eNodeB further comprises：Second thresholding adjustment unit, for being joined according to serving cell reference signal quality Several cumulative distribution dynamics adjust second thresholding.

In the present invention, according to one embodiment of present invention, eNodeB can be according to the RSRP of itself and/or itself industry The size of the ratio dynamic regulation decision threshold of business amount and each cell business volume, eNodeB itself RSRP it is larger and/or itself Portfolio and a certain cell business volume ratio it is larger when select larger decision threshold, the cell on eNodeB peripheries is made more to hold Easily carry out cooperative transmission with eNode, and eNodeB itself RSRP are smaller and/or the portfolio of itself and each cell business volume Smaller decision threshold is selected when ratio is smaller so that the cell on eNodeB peripheries is more difficult to carry out cooperative transmission with eNode, from And can realize the compromise between feedback overhead and cooperative transmission gain, it is passed with obtaining larger collaboration under smaller feedback overhead Defeated gain.

According to another embodiment of the invention, eNodeB can be with when participating in cooperative transmission by some non-service cell The size of the capacity gain of acquisition come determine whether by the non-service cell add in collaborative feedback collection, it can be ensured that only capacity increase The cell that benefit is more than pre-set capacity gain thresholding can add in collaborative feedback collection, it is thereby achieved that cooperative transmission increases Good trade-off between benefit and feedback overhead.Also, this method need to only set a fixed capacity gain thresholding, and without The capacity gain is adjusted under heterogeneous networks scene, therefore, is implemented very simple.

In addition, according to still another embodiment of the invention, on the one hand eNodeB is ensured by setting two fixed thresholdings Difference in serving cell and the reference signal quality parameter of some non-service cell is smaller by the non-service cell Collaborative feedback collection is added in, on the other hand ensures to incite somebody to action when the reference signal quality parameter of some non-service cell itself is larger The non-service cell adds in collaborative feedback collection, so as to effectively increase the gain of cooperative transmission, realizes cooperative transmission gain The good trade-off between feedback overhead.

Description of the drawings

Fig. 1 a are a conventional heterogeneous network diagram；

Fig. 1 b are the relation for the RSRP that the position where UE is obtained with UE measurements in the heterogeneous network shown in Fig. 1 a；

Fig. 2 a are the asymmetric homogeneous network schematic diagram of a portfolio；

Fig. 2 b are the relation for the RSRP that the position where UE is obtained with UE measurements in the homogeneous network shown in Fig. 2 a；

Fig. 3 is a kind of collaborative feedback collection selection method flow chart of the present invention；

Fig. 4 realizes a kind of eNodeB internal structure schematic diagrams of collaborative feedback collection selection method to be of the present invention；

Fig. 5 is collaborative feedback collection selection method flow chart described in the embodiment of the present invention 1；

Fig. 6 is the eNodeB internal structure schematic diagrams that collaborative feedback collection selection method is realized described in the embodiment of the present invention 1；

Fig. 7 is collaborative feedback collection selection method flow chart described in the embodiment of the present invention 2；

Fig. 8 is the eNodeB internal structure schematic diagrams that collaborative feedback collection selection method is realized described in the embodiment of the present invention 2；

Fig. 9 is collaborative feedback collection selection method flow chart described in the embodiment of the present invention 3；

Figure 10 is the eNodeB internal structure schematic diagrams that collaborative feedback collection selection method is realized described in the embodiment of the present invention 3；

Figure 11 is another collaborative feedback collection selection method flow chart of the present invention；

Figure 12 is the eNodeB internal structure schematic diagrams of the present invention for realizing another collaborative feedback collection selection method；

Figure 13 is another collaborative feedback collection selection method flow chart of the present invention；

Figure 14 is the eNodeB internal structure schematic diagrams of another collaborative feedback collection selection method of realization of the present invention.

Specific embodiment

In existing more base station collaborative transmission systems, after eNodeB receives the RSRP of all cells of UE reports, The difference of the RSRP for each cell that the RSRP and UE that eNodeB calculates serving cell respectively first are reported, and will be calculated Difference is compared with a pre-set fixed threshold (for example, 3dB), if the difference being calculated is less than the fixed door Limit, then be put into candidate collection by the corresponding cell of the difference；Finally, m RSRP is maximum before then being selected successively from candidate collection The cell concentrated as collaborative feedback of cell, wherein, m can include the maximum number of cell for collaborative feedback collection.

By research it can be found that above-mentioned determine candidate collection and then the method for determining collaborative feedback collection based on fixed threshold The symmetrical network with symmetrical RSRP and symmetrical service amount is only applicable to (for example, with same base transimission power and phase With the homogeneous network of path-loss factor), still, for the heterogeneous network with asymmetric RSRP or with asymmetric traffic Isomorphism or heterogeneous network are not appropriate for.For example, in heterogeneous network as shown in Figure 1a, cell A is the serving cell of UE, cell B is the Microcell in cell A coverages.The cell A and the RSRP of cell B that UE measurements obtain are as shown in Figure 1 b.In Figure 1b, Transverse axis represents the position of UE, and the longitudinal axis represents the reception power of UE.It can be seen that from Fig. 1 a and Fig. 1 b when UE is located at cell A and small When between area B, the absolute value of the RSRP of cell A and cell B are all relatively high, even if the reference signal of cell A receives work(at this time Rate RSRP_AWith the Reference Signal Received Power RSRP of cell B_BDifference be more than pre-set fixed threshold (for example, 3dB), this When by cell B addition collaborative feedback collection can still obtain larger cooperative transmission gain；And when UE is located remotely from cell A and cell During the position of B (right side in Fig. 1 a), the absolute value of the RSRP of cell A and cell B are all relatively low, even if cell A at this time Reference Signal Received Power RSRP_AWith the Reference Signal Received Power RSRP of cell B_BDifference be less than pre-set fixed door It limits (for example, 3dB), by the cooperative transmission gain that can obtain of cell B addition collaborative feedback collection also very little.In another example in Fig. 2 a In shown homogeneous network, the portfolio of cell A is higher, and the portfolio of cell B is than relatively low, at this point, cell A is difficult to have time Not busy resource is cooperateed with cell B transmits data for the UE in cell B, and cell B will have many idling-resources to be cooperateed with cell A to be small UE transmission data in area A.Therefore, if still determining Candidate Set nor non-by the way of fixed threshold (for example, 3dB) at this time Chang Heshi.

To solve the above-mentioned problems, the present invention provides a variety of collaborative feedback collection selection method and realize the cooperative transmission The base station of method can realize the better trade-off between feedback overhead and cooperative transmission gain, i.e., under smaller feedback overhead Obtain larger cooperative transmission gain.

Fig. 3 shows a kind of flow of collaborative feedback collection selection method provided by the present invention.As shown in figure 3, main bag It includes：

Step 301：ENodeB receives the reference signal quality parameter of serving cell and the ginseng of non-service cell of UE reports Examine signal quality parameter；

Step 302：ENodeB according to the reference signal quality parameter of the UE serving cells reported or each non-service cell and/ Or serving cell portfolio determines that each non-service cell is corresponding with the ratio of the portfolio of each non-service cell and sentences respectively Certainly thresholding, wherein, the corresponding decision threshold in each non-service cell is with serving cell or each non-service cell reference signal The growth of mass parameter and/or above-mentioned portfolio ratio and increase；

Step 303：ENodeB calculates the reference signal quality parameter of serving cell and each non-service cell respectively The difference of reference signal quality parameter, and by the difference being calculated decision threshold corresponding with each non-service cell respectively It is compared, if the difference being calculated is less than decision threshold, corresponding non-service cell is put into collaborative feedback collection.

This method can further include：

Step 304：ENodeB from collaborative feedback concentration select before m reference signal quality parameter maximum cell as most The cell that whole collaborative feedback is concentrated, wherein, m can include the maximum number of cell for collaborative feedback collection.

In the step 304, eNodeB can be first by the cell in candidate collection according to the big of reference signal quality parameter Cell small to be ranked up, that then the cell of m reference signal quality parameter maximum is concentrated as collaborative feedback before reselection.

After collaborative feedback collection is determined, definite collaborative feedback collection is allocated to UE by eNodeB, and is receiving UE After the collaborative feedback collection of feedback includes the CSI of cell, it is scheduled according to the UE CSI fed back, precoding and signaling sum number According to transmission.

The corresponding above method, the present invention also provides the eNodeB for realizing the above method, as shown in figure 4, the base station is interior Portion mainly includes：

Reference signal quality parameter receiving unit 401, for receiving the reference signal quality ginseng of the serving cell of UE reports Number and the reference signal quality parameter of non-service cell；

Decision threshold determination unit 402, for the serving cell or the reference signal of each non-service cell reported according to UE Mass parameter and/or service business amount and the ratio of the portfolio of each non-service cell determine each non-service cell pair respectively The decision threshold answered, wherein, the corresponding decision threshold in each non-service cell is with the UE serving cells reported or each non-clothes Be engaged in cell reference signal quality parameter and/or above-mentioned portfolio ratio growth and increase；

Collaborative feedback collection determination unit 403, for calculate respectively the reference signal quality parameter of serving cell with it is described each The difference of the reference signal quality parameter of non-service cell, and the difference being calculated is corresponding with each non-service cell Decision threshold is compared, if the difference being calculated is less than decision threshold, it is anti-that corresponding non-service cell is put into collaboration Feedback collection.

Above-mentioned eNodeB can further include：

In the present invention, eNodeB can according to each cell reference signals mass parameter and/or serving cell portfolio with The size of the corresponding decision threshold in each non-service cell of ratio dynamic regulation of each non-service cell portfolio, in serving cell Reference signal quality preferably and/or when portfolio of serving cell and the larger ratio of a certain non-service cell portfolio select compared with Big decision threshold so that non-service cell is easier to carry out cooperative transmission with eNode, it is hereby achieved that higher cooperative transmission Gain, and reference signal quality in serving cell is poor and/or portfolio and a certain non-service cell industry of serving cell The ratio of business amount selects smaller decision threshold when smaller so that and non-service cell is more difficult to carry out cooperative transmission with eNode, from And reduce feedback overhead.

In the present invention, reference signal quality parameter includes：Reference Signal Received Power (RSRP) or reference signal receive Quality (RSRQ).

The above method is described in detail below in conjunction with specific embodiments.It is with reference signal in following example Mass parameter is illustrated exemplified by RSRP.It should be noted that in actual application, made using RSRQ instead of RSRP Technical scheme can be also realized for reference signal quality parameter, just do not repeat to have been illustrated herein.

Embodiment 1：

The selection method of collaborative feedback collection provided in this embodiment is according to the UE serving cells reported or non-service cell RSRP determines above-mentioned decision threshold, realizes flow as shown in figure 5, mainly including：

Step 3011：ENodeB receives the RSRP of serving cell and the RSRP of each non-service cell of UE reports；

Step 3021：ENodeB determines each non-clothes respectively according to the RSRP of the UE serving cells reported or each non-service cell The corresponding decision threshold of cell of being engaged in, wherein, above-mentioned decision threshold increases with the growth of the RSRP of each cell；

Specifically, in this step, eNodeB can determine a judgement according to the RSRP of the UE serving cells reported Thresholding, and using the decision threshold as the corresponding decision threshold in each non-service cell, wherein, above-mentioned decision threshold is small with servicing The growth of the RSRP in area and increase.

Alternatively, in this step, eNodeB can be determined respectively according to the RSRP of the UE each non-service cells reported respectively Each non-service cell corresponds to decision threshold, wherein, the corresponding decision threshold in each non-service cell is respectively with each non-service cell RSRP growth and increase；

Step 3031：ENodeB calculates the difference of the RSRP of serving cell and the RSRP of each non-service cell respectively, and will Compared with the difference being calculated decision threshold corresponding with each non-serving, if the difference being calculated is less than the non-serving The corresponding decision threshold of cell, then be put into cooperative transmission collection by corresponding non-service cell.

As previously mentioned, the above method can further include above-mentioned steps 304.

The RSRP of itself that the eNodeB described in above-mentioned steps 3021 is reported according to UE is described in detail again below to determine to adjudicate The method of thresholding, this method include：

First, the RSRP of serving cell or each non-service cell and the correspondence of decision threshold are established；

Then, above-mentioned decision threshold is determined according to the RSRP of the UE serving cells reported and the correspondence.

Wherein, above-mentioned correspondence can be a kind of functional relation, such as y=f (x), wherein, x represent serving cell or The RSRP of each non-service cell, y represent the corresponding decision threshold in each non-service cell, and in x1>During x2, ensure y1-y2=f (x1)-f(x2)>0.Specifically, above-mentioned functional relation can beWherein, k is constant.Or above-mentioned correspondence Relation can be form as shown in table 1 below.

Serving cell or the RSRP of some non-service cell	Decision threshold
		-50dBm	15dB
-75dBm	10dB
		…	…

Table 1

It will be understood to those skilled in the art that if the mode of selection above table in realization will be more simple.

The corresponding above method, the present invention also provides the eNodeB for realizing the above method, as shown in fig. 6, the base station is interior Portion mainly determines list including reference signal quality parameter receiving unit 401, decision threshold determination unit 402 and collaborative feedback collection Member 403.Wherein, 402 inside of decision threshold determination unit includes：First module 4021, for the serving cell reported according to UE Or the reference signal quality parameter (for example, RSRP) of each non-service cell determines the corresponding decision gate in each non-service cell respectively Limit, wherein, the corresponding decision threshold in each non-service cell is with the UE serving cells reported or the ginseng of each non-service cell It examines the growth of signal quality parameter and increases.Other units, such as reference signal quality parameter receiving unit 401 and collaboration are instead The unit of identical with having the function of in Fig. 4 label of feedback collection determination unit 403 is not being repeated herein with identical.

The internal structure of selection method and eNodeB from above-mentioned collaborative feedback collection can be seen that eNodeB and be reported according to UE The size of the serving cell of announcement or the RSRP dynamic regulation decision thresholds of each non-service cell, particularly, in serving cell or Some non-service cell RSRP selects larger decision threshold when larger so that non-service cell is easier to be assisted with eNode With transmission, so as to improve the gain of cooperative transmission, and selection is smaller when the RSRP in serving cell or each non-service cell is smaller Decision threshold so that non-service cell is more difficult to carry out cooperative transmission with eNode, so as to reduce feedback overhead.

Embodiment 2：

The selection method of collaborative feedback collection provided in this embodiment, according to serving cell portfolio and non-service cell business The ratio of amount determines the corresponding decision threshold in each non-service cell, realizes flow as shown in fig. 7, mainly including：

Step 3022：ENodeB calculates the ratio of serving cell portfolio and the portfolio of each non-service cell respectively, and The corresponding decision threshold in each non-service cell is determined according to above-mentioned portfolio ratio respectively, wherein, above-mentioned decision threshold is with industry The growth of business amount ratio and increase；

Step 3031：ENodeB calculates the difference of the RSRP of serving cell and the RSRP of each non-service cell respectively, and will Compared with the difference being calculated decision threshold corresponding with each non-service cell, if the difference being calculated is less than judgement Corresponding non-service cell is then put into collaborative feedback collection by thresholding.

The above method can further include above-mentioned steps 304.

Each non-serving is determined according to above-mentioned portfolio ratio in the eNodeB described in detailed description above-mentioned steps 3022 below The method of the corresponding decision threshold of cell, this method mainly include：

First, the correspondence between portfolio ratio and decision threshold is established；

Then, eNodeB is according to the serving cell portfolio of calculating and the ratio and business of each non-service cell portfolio Correspondence between amount ratio and decision threshold determines the corresponding decision threshold in each non-service cell respectively.

Wherein, above-mentioned correspondence can be a kind of functional relation, such as y=f (x), wherein, x represent serving cell with The ratio of some non-service cell portfolio, y represent the corresponding decision threshold in the non-service cell, and in x1>During x2, ensure Y1-y2=f (x1)-f (x2)>0.Specifically, above-mentioned functional relation can beWherein, k is constant.Or Above-mentioned correspondence can be form as shown in table 2 below.

Portfolio ratio	Decision threshold
		5	15dB
2	10dB
		…	…

Table 2

It will be understood to those skilled in the art that if selection above table mode in realization will be more simple.

The corresponding above method, the present invention also provides the eNodeB for realizing the above method, as shown in figure 8, the base station is interior Portion mainly includes：Reference signal quality parameter receiving unit 401, decision threshold determination unit 402 and collaborative feedback collection determine Unit 403.Wherein, decision threshold determination unit 402 includes：Portfolio ratio calculation module 4022, for calculating service respectively The ratio of cell business volume and the portfolio of each non-service cell；Second module 4023, for according to the portfolio ratio point Not Que Ding the corresponding decision threshold in each non-service cell, wherein, the decision threshold with the growth of portfolio ratio and Increase.In other units, such as reference signal quality parameter receiving unit 401 and collaborative feedback collection determination unit 403 and Fig. 4 Have the function of identical label unit have it is identical, do not repeating herein.

The internal structure of selection method and eNodeB from above-mentioned collaborative feedback collection can be seen that eNodeB according to service Cell business volume and the size of the ratio dynamic regulation decision threshold of non-service cell portfolio, particularly, in serving cell The ratio of portfolio and non-service cell portfolio selects larger decision threshold when larger so that non-service cell be easier with ENode carries out cooperative transmission, so as to obtain the gain of higher cooperative transmission, and it is small in serving cell portfolio and non-service cell The ratio of area's portfolio selects smaller decision threshold when smaller so that non-service cell is more difficult to carry out cooperateing with biography with eNode It is defeated, so as to reduce feedback overhead.

Embodiment 3：

A kind of selection method of collaborative feedback collection is present embodiments provided, according to the RSRP or non-of the UE serving cells reported The RSRP and serving cell portfolio of serving cell determine each non-serving with the portfolio ratio of each non-service cell portfolio The corresponding decision threshold of cell realizes flow as shown in figure 9, mainly including：

Step 3023：ENodeB calculates the ratio of serving cell portfolio and the portfolio of each non-service cell respectively, and The corresponding judgement in each non-service cell is determined according to the RSRP and above-mentioned portfolio ratio of serving cell or non-service cell respectively Thresholding, wherein, above-mentioned decision threshold increases with the growth of the RSRP and portfolio ratio of serving cell；

Step 3031：ENodeB calculates the difference of the RSRP of serving cell and the RSRP of each non-service cell respectively, and will The difference being calculated is respectively compared with decision threshold corresponding with each non-service cell, if the difference being calculated is less than Corresponding non-service cell is then put into collaborative feedback collection by decision threshold.

RSRP and portfolio ratios of the eNodeB described in above-mentioned steps 3023 according to serving cell is being described in detail below The method that value determines the corresponding decision threshold in each non-service cell, this method mainly include：

First, correspondence between RSRP, portfolio ratio and decision threshold is established；

Then, eNodeB is small according to the RSRP and service cell business volume of serving cell or non-service cell and each non-serving The ratio of the portfolio in area and above-mentioned correspondence determine above-mentioned decision threshold.

Wherein, above-mentioned correspondence can be a kind of functional relation, such as y=f (xa, xb), wherein, it is small that xa represents service Area or the RSRP of some non-service cell；Xb represents the ratio of serving cell and some non-service cell portfolio；It is non-that y represents this The corresponding decision threshold of serving cell, and in xa1 >=xa2 and xb1 >=xb2, ensure y1-y2=f (xa1, xb1)-f (xa2,xb2)≥0.Or above-mentioned correspondence can be form as shown in table 3 below.

Table 3

The corresponding above method, the present invention also provides the eNodeB for realizing the above method, as shown in Figure 10, the base station it is interior Portion mainly includes：Reference signal quality parameter receiving unit 401, decision threshold determination unit 402 and collaborative feedback collection determine Unit 403.Wherein, decision threshold determination unit 402 includes：Portfolio ratio calculation module 4022, for calculating service respectively The ratio of cell business volume and the portfolio of each non-service cell；3rd module 4024, for the serving cell reported according to UE Or each non-service cell reference signal quality parameter and the portfolio ratio determine each non-service cell pair respectively The decision threshold answered, wherein, the decision threshold is with the UE serving cells reported or the reference signal matter of each non-service cell It measures the growth of parameter and portfolio ratio and increases.Other units, for example, reference signal quality parameter receiving unit 401 and The unit of 403 label identical with having the function of in Fig. 4 of collaborative feedback collection determination unit have it is identical, do not repeating herein.

The internal structure of selection method and eNodeB from above-mentioned collaborative feedback collection can be seen that eNodeB according to service Cell or each non-service cell RSRP and serving cell portfolio and the ratio dynamic regulation of each non-service cell portfolio are sentenced The certainly size of thresholding, particularly, the RSRP in serving cell or some non-service cell is larger and the portfolio of serving cell With the ratio of some non-service cell portfolio it is larger when select larger decision threshold so that non-service cell be easier with ENode carries out cooperative transmission, so as to obtain the gain of higher cooperative transmission, and in serving cell or some non-service cell RSRP The ratio of smaller and serving cell portfolio and some non-service cell portfolio selects smaller decision threshold when smaller, makes Non-service cell is more difficult that cooperative transmission is carried out with eNode, so as to reduce feedback overhead.

In addition to said program, the present invention also provides another collaborative feedback collection selection method, flow such as Figure 11 institutes Show, mainly include：

Step 1101：ENodeB calculates each non-serving respectively according to the reference signal quality parameter of the UE each cells reported The capacity gain that cell can be obtained when participating in cooperative transmission；

This step can specifically include：

First, eNodeB is according to the reference signal quality parameter (for example, RSRP or RSRQ) of the UE each cells reported point User capacity when not calculating user capacity of each non-service cell when participating in cooperative transmission and being not involved in cooperative transmission；

Then, eNodeB calculates user capacity of each non-service cell when participating in cooperative transmission with being not involved in assisting respectively With the difference of user capacity during transmission, when the difference of the user capacity and the non-service cell be not involved in cooperative transmission The ratio of user capacity is respectively as the corresponding capacity gain in the non-service cell.

Specifically, user capacity of some non-service cell when participating in cooperative transmission can pass through formula below (1) calculate：

Wherein, RSRP_SIt is the RSRP of serving cell；RSRP_CIt is the RSRP of some non-service cell；ICI be serving cell and Inter-cell interference outside the non-service cell；N is noise.

Further, if assuming the cooperative transmission technology using multi-point joint processing (JP), equation below can be passed through (2) user capacity of each non-service cell when participating in cooperative transmission is calculated：

It, can be by following public if assuming the cooperative transmission technology using cooperative scheduling/collaboration wave beam forming (CS/CB) Formula (3) calculates user capacity of each non-service cell when participating in cooperative transmission：

Wherein, RSRP_SIt is the RSRP of serving cell；ICI is that the minizone outside serving cell and the non-service cell is done It disturbs；N is noise.

User capacity of some non-service cell when being not involved in cooperative transmission can be calculated by formula below (4)：

Wherein, RSRP_SIt is the RSRP of serving cell, RSRP_CIt is the RSRP of some non-service cell；ICI be serving cell and Inter-cell interference outside the non-service cell；N is noise.

Step 1102：ENodeB judges whether the capacity gain of each non-service cell is more than pre-set capacity and increases respectively Beneficial thresholding (for example, 30%), if it is, corresponding non-service cell is put into collaborative feedback collection.

After above-mentioned flow has been performed, above-mentioned steps 304 can also be further performed, determine final collaborative feedback Collection.

The corresponding above method, the present invention also provides the eNodeB for realizing the above method, as shown in figure 12, the base station it is interior Portion mainly includes：

Reference signal quality parameter receiving unit 401, for receiving the serving cell of user terminal UE reports and Ge Fei clothes The reference signal quality parameter for cell of being engaged in；

Capacity gain determination unit 501, for the serving cell and the reference signal of each non-service cell reported according to UE Mass parameter calculates the capacity gain that each non-service cell can be obtained when participating in cooperative transmission respectively；And

Second collaborative feedback collection determination unit 502, for judging it is advance whether the capacity gain of each non-service cell is more than The capacity gain thresholding of setting, if it is, corresponding non-service cell is put into collaborative feedback collection.

As previously mentioned, above-mentioned reference signal quality parameter includes RSRP or RSRQ.

The internal structure of selection method and eNodeB from above-mentioned collaborative feedback collection can be seen that eNodeB and pre-estimate The capacity gain that some non-service cell can be obtained when participating in cooperative transmission, and determine to be according to the size of capacity gain It is no that the non-service cell is added in into collaborative feedback collection, it can be ensured that only capacity gain is more than pre-set capacity gain thresholding Cell can add in collaborative feedback collection, it is thereby achieved that good trade-off between cooperative transmission gain and feedback overhead.And And the above method need to only set a fixed capacity gain thresholding, and without under heterogeneous networks scene to the capacity gain into Therefore row adjustment, implements very simple.

In addition to said program, the present invention also provides another collaborative feedback collection selection method, flow such as Figure 13 institutes Show, mainly include：

Step 1301：ENodeB calculates the reference signal quality parameter of serving cell and the reference of each non-service cell respectively The difference of signal quality parameter, respectively as the corresponding reference signal quality parameter difference in each non-service cell；

Step 1302：ENodeB is respectively by the corresponding reference signal quality parameter difference in each non-service cell with pre-setting The first thresholding (such as 3dB) be compared and respectively by the reference signal quality parameter of each non-service cell with setting in advance The second fixed thresholding is compared, if the corresponding reference signal quality parameter difference in some non-service cell be less than the first thresholding or Some non-service cell reference signal quality parameter is more than pre-set second thresholding, then corresponding non-service cell is put into association With feedback collection.

Further, in the above-mentioned methods, reference signal quality of the following method according to serving cell can also be used The cumulative distribution dynamic of parameter adjusts above-mentioned second thresholding, specifically includes：

First, under certain transmit power and radius of society, statistics is the reference signal quality parameter of serving cell Cumulative Distribution Function (CDF)；

Then, a percentage setting value is set, for example, 5%；

Finally, it is serving cell reference letter by the second threshold sets according to the CDF of serving cell reference signal quality parameter The cumulative distribution of number mass parameter is equal to the reference signal quality parameter value during percentage setting value.

The corresponding above method, the present invention also provides the eNodeB for realizing the above method, as shown in figure 14, the base station it is interior Portion mainly includes：

Reference signal quality parameter receiving unit 401, for receiving the reference letter of the serving cell of user terminal UE reports Number mass parameter and the reference signal quality parameter of non-service cell；

Reference signal quality parameter difference determination unit 601, for calculating the reference signal quality of serving cell ginseng respectively Number and the difference of the reference signal quality parameter of each non-service cell, respectively as the corresponding reference signal matter in each non-service cell Measure parameter difference；

3rd collaborative feedback collection determination unit 602, for the corresponding reference signal quality parameter difference in each non-service cell Compared with pre-set first thresholding and respectively by the reference signal quality parameter of each non-service cell with setting in advance The second fixed thresholding is compared, if the corresponding reference signal quality parameter difference in some non-service cell be less than the first thresholding or Some non-service cell reference signal quality parameter is more than pre-set second thresholding, then corresponding non-service cell is put into association With feedback collection.

Above-mentioned eNodeB can further include：Second thresholding adjustment unit 603, for being believed according to serving cell reference Cumulative distribution dynamic the second thresholding of adjustment of number mass parameter.

The internal structure of selection method and eNodeB from above-mentioned collaborative feedback collection can be seen that eNodeB and pass through setting Two fixed thresholdings, on the one hand ensure difference in the reference signal quality parameter of serving cell Yu some non-service cell compared with The non-service cell is added in into collaborative feedback collection in the case of small, on the other hand ensures the reference letter of some non-service cell itself The non-service cell can also be added in collaborative feedback collection by number mass parameter when larger, so as to effectively increase cooperative transmission Gain, realize good trade-off between cooperative transmission gain and feedback overhead.

The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all essences in the present invention With within principle, any modifications, equivalent replacements and improvements are made should all be included in the protection scope of the present invention god.

Claims

1. a kind of collaborative feedback collection selection method, which is characterized in that including：

Base station eNodeB receives the reference signal quality parameter of serving cell and the ginseng of non-service cell of user terminal UE reports Examine signal quality parameter；

ENodeB is according to the UE serving cells reported or the reference signal quality parameter of non-service cell and/or serving cell business Amount determines the corresponding decision threshold in each non-service cell respectively with the ratio of the portfolio of each non-service cell, wherein, it is described to sentence Certainly thresholding increases with the growth of the reference signal quality parameter and/or the portfolio ratio of serving cell or non-service cell It is long；

ENodeB calculates the reference signal quality parameter of serving cell and the reference signal quality of each non-service cell respectively The difference of parameter, and by the difference being calculated respectively decision threshold corresponding with each non-service cell compared with, such as The difference that fruit is calculated is less than decision threshold, then corresponding non-service cell is put into collaborative feedback collection.

2. according to the method described in claim 1, further comprise：

ENodeB from collaborative feedback concentration select before m reference signal quality parameter maximum cell as final collaborative feedback collection In cell, wherein, m can include the maximum number of cell for collaborative feedback collection.

3. according to the method described in claim 1, wherein, the eNodeB is according to the UE serving cells reported or non-service cell Reference signal quality parameter and/or serving cell portfolio and each non-service cell portfolio ratio determine respectively it is described The corresponding decision threshold in each non-service cell includes：ENodeB is true according to the reference signal quality parameter of the UE serving cells reported A fixed decision threshold, and using the decision threshold as the corresponding decision threshold in each non-service cell, wherein, the decision gate Limit increases with the growth of serving cell reference signal quality parameter.

4. according to the method described in claim 3, wherein, eNodeB joins according to the reference signal quality of the UE serving cells reported Number determines that a decision threshold includes：

Establish the correspondence of reference signal quality parameter and decision threshold；And

The decision threshold is determined according to the reference signal quality parameter of the UE serving cells reported and the correspondence.

5. according to the method described in claim 4, wherein, the correspondence is functional relation y=f (x), wherein, x represents clothes The reference signal quality parameter for cell of being engaged in, y represent decision threshold, and in x1>During x2, ensure y1-y2=f (x1)-f (x2)> 0。

6. according to the method described in claim 1, wherein, the eNodeB is small according to the UE serving cells reported or each non-serving The reference signal quality parameter and/or serving cell portfolio in area and the ratio of the portfolio of each non-service cell determine institute respectively Stating the corresponding decision threshold in each non-service cell includes：ENodeB is according to the reference signal quality parameter of each non-service cell Determine the corresponding decision threshold in each non-service cell respectively, wherein, the corresponding decision threshold in each non-service cell with It the growth of the reference signal quality parameter of each non-service cell and increases.

7. according to the method described in claim 6, wherein, eNodeB joins according to the reference signal quality of each non-service cell Number determines that the corresponding decision threshold in each non-service cell includes respectively：

The non-clothes are determined according to the reference signal quality parameter of the UE a certain non-service cells reported and the correspondence The corresponding decision threshold of cell of being engaged in.

8. according to the method described in claim 7, wherein, the correspondence is functional relation y=f (x), wherein, x represents certain The reference signal quality parameter of one non-service cell, y represent the corresponding decision threshold in the non-service cell, and in x1>During x2, Ensure y1-y2=f (x1)-f (x2)>0.

9. according to the method described in claim 1, wherein, the eNodeB is small according to the UE serving cells reported or each non-serving The reference signal quality parameter and/or serving cell portfolio in area and the ratio of the portfolio of each non-service cell determine institute respectively Stating the corresponding decision threshold in each non-service cell includes：ENodeB calculates serving cell portfolio respectively and each non-serving is small The ratio of the portfolio in area, and the corresponding decision threshold in each non-service cell is determined according to the portfolio ratio respectively, Wherein, the corresponding decision threshold in each non-service cell increases with the growth of portfolio ratio.

10. according to the method described in claim 9, wherein, determine that each non-serving is small respectively according to the portfolio ratio The corresponding decision threshold in area includes：

Establish the correspondence of portfolio ratio and decision threshold；And

Determine that this is non-according to serving cell portfolio and the ratio of the portfolio of a certain non-service cell and the correspondence The corresponding decision threshold of serving cell.

11. according to the method described in claim 10, wherein, the correspondence is functional relation y=f (x), wherein, x is represented The ratio of the portfolio of serving cell and a certain non-service cell portfolio, y represent the corresponding decision threshold in the non-service cell, And in x1>During x2, ensure y1-y2=f (x1)-f (x2)>0.

12. according to the method described in claim 1, wherein, the eNodeB is according to the UE serving cells reported or each non-serving The reference signal quality parameter and/or serving cell portfolio and the ratio of the portfolio of each non-service cell of cell determine respectively The corresponding decision threshold in each non-service cell includes：ENodeB calculates serving cell portfolio and each non-serving respectively The ratio of the portfolio of cell, and according to UE report serving cell or each non-service cell reference signal quality parameter and The portfolio ratio determines the corresponding decision threshold in each non-service cell respectively, wherein, the decision threshold is with clothes Business cell or the reference signal quality parameter of each non-service cell and the growth of portfolio ratio and increase.

13. the method according to claim 11, wherein, according to the reference of the UE serving cells reported or each non-service cell Signal quality parameter and the portfolio ratio determine that the corresponding decision threshold in each non-service cell includes respectively：

Establish the correspondence of reference signal quality parameter, portfolio ratio and decision threshold；And

According to the reference signal quality parameter of serving cell or a certain non-service cell, serving cell portfolio and a certain non-serving The ratio of the portfolio of cell and the correspondence determine the corresponding decision threshold in the non-service cell.

14. according to the method for claim 13, wherein, the correspondence is functional relation y=f (xa, xb), wherein, Xa represents the serving cell of UE reports or the reference signal quality parameter of some non-service cell；Xb represents serving cell and some The portfolio ratio of non-service cell；Y represents the corresponding decision threshold in the non-service cell, and xa1 >=xa2 and xb1 >= During xb2, ensure y1-y2=f (xa1, xb1)-f (xa2, xb2) >=0.

15. according to the method described in claim 4,7,10 or 13, wherein, the correspondence record is in the table.

16. according to any one of claim 1 to 8 or 12 to 14 or the method, wherein, the reference signal quality parameter Including：Reference Signal Received Power RSRP or Reference Signal Received Quality RSRQ.

17. a kind of base station eNodeB, which is characterized in that including：

Reference signal quality parameter receiving unit (401), for receiving the reference signal matter of the serving cell of the UE of user reports Measure parameter and the reference signal quality parameter of non-service cell；

Decision threshold determination unit (402), for the serving cell or the reference signal matter of each non-service cell reported according to UE Amount parameter and/or service business amount determine that each non-service cell is corresponding respectively with the ratio of the portfolio of each non-service cell Decision threshold, wherein, the decision threshold with serving cell or each non-service cell reference signal quality parameter and/or The growth of portfolio ratio and increase；

Collaborative feedback collection determination unit (403), for calculate respectively the reference signal quality parameter of serving cell with it is described each non- The difference of the reference signal quality parameter of serving cell, and sentence the difference being calculated is corresponding with each non-service cell Certainly thresholding is compared, if the difference being calculated is less than decision threshold, corresponding non-service cell is put into collaborative feedback Collection.

18. eNodeB according to claim 17, further comprises：

Collaborative feedback collection size limiting unit (404), for from collaborative feedback concentrate selection before m reference signal quality parameter most The cell that big cell is concentrated as final collaborative feedback, wherein, m can include the maximum number of cell for collaborative feedback collection.

19. eNodeB according to claim 17, wherein, decision threshold determination unit (402) includes：

First module (4021), for the serving cell or the reference signal quality parameter point of each non-service cell reported according to UE Not Que Ding the corresponding decision threshold in each non-service cell, wherein, the decision threshold is with serving cell or each non-service cell Reference signal quality parameter growth and increase.

20. eNodeB according to claim 17, wherein, decision threshold determination unit (402) includes：

Portfolio ratio calculation module (4022), for calculating the portfolio of serving cell portfolio and each non-service cell respectively Ratio；

Second module (4023), for determining the corresponding decision gate in each non-service cell respectively according to the portfolio ratio Limit, wherein, the decision threshold increases with the growth of portfolio ratio.

21. eNodeB according to claim 17, wherein, decision threshold determination unit (402) includes：

3rd module (4024), for the serving cell reported according to UE or the reference signal quality parameter of each non-service cell with And the portfolio ratio determines the corresponding decision threshold in each non-service cell respectively, wherein, the decision threshold with The growth of the reference signal quality parameter and portfolio ratio of serving cell or each non-service cell and increase.

22. a kind of collaborative feedback collection selection method, which is characterized in that including：

ENodeB calculates the reference signal quality parameter of serving cell and the reference signal quality parameter of each non-service cell respectively Difference, respectively as the corresponding reference signal quality parameter difference in each non-service cell；And

ENodeB respectively by the corresponding reference signal quality parameter difference in each non-service cell and pre-set first thresholding into Row compares and respectively by the reference signal quality parameter of each non-service cell compared with preset second thresholding, If the corresponding reference signal quality parameter difference in some non-service cell is less than the first thresholding or some non-service cell with reference to letter Number mass parameter is more than pre-set second thresholding, then corresponding non-service cell is put into collaborative feedback collection；

The method is further included：

The Cumulative Distribution Function CDF of statistical fractals cell reference signals mass parameter；

One percentage setting value is set；And

According to the CDF of serving cell reference signal quality parameter, by the reference signal quality that the second threshold sets are serving cell The cumulative distribution of parameter is equal to the reference signal quality parameter value during percentage setting value.

23. a kind of base station eNodeB, which is characterized in that including：

Reference signal quality parameter receiving unit (401), for receiving the reference signal of the serving cell of user terminal UE reports Mass parameter and the reference signal quality parameter of non-service cell；

Reference signal quality parameter difference determination unit (601), for calculating the reference signal quality parameter of serving cell respectively With the difference of the reference signal quality parameter of each non-service cell, respectively as the corresponding reference signal quality in each non-service cell Parameter difference；

3rd collaborative feedback collection determination unit (602), for the corresponding reference signal quality parameter difference in each non-service cell with Pre-set first thresholding is compared and respectively by the reference signal quality parameter of each non-service cell with presetting The second thresholding be compared, if the corresponding reference signal quality parameter difference in some non-service cell be less than the first thresholding or certain A non-service cell reference signal quality parameter is more than pre-set second thresholding, then corresponding non-service cell is put into collaboration Feedback collection；

Further comprise, the second thresholding adjustment unit (603), for accumulative point of statistical fractals cell reference signals mass parameter Cloth function CDF；One percentage setting value is set；And the CDF according to serving cell reference signal quality parameter, by second Limit is set as the reference signal when cumulative distribution of the reference signal quality parameter of serving cell is equal to the percentage setting value Quality parameter value.

24. base station according to claim 23, the second thresholding adjustment unit (603), are further used for according to service The cumulative distribution dynamic of cell reference signals mass parameter adjusts second thresholding.