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CN111417125B - Method and device for optimizing capacity of space-air-ground cooperative marine communication network - Google Patents

Method and device for optimizing capacity of space-air-ground cooperative marine communication network Download PDF

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CN111417125B
CN111417125B CN202010213990.2A CN202010213990A CN111417125B CN 111417125 B CN111417125 B CN 111417125B CN 202010213990 A CN202010213990 A CN 202010213990A CN 111417125 B CN111417125 B CN 111417125B
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base station
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CN111417125A (en
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冯伟
方欣然
葛宁
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Tsinghua University
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W16/00Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
    • H04W16/18Network planning tools
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W24/00Supervisory, monitoring or testing arrangements
    • H04W24/02Arrangements for optimising operational condition
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W24/00Supervisory, monitoring or testing arrangements
    • H04W24/06Testing, supervising or monitoring using simulated traffic
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W84/00Network topologies
    • H04W84/02Hierarchically pre-organised networks, e.g. paging networks, cellular networks, WLAN [Wireless Local Area Network] or WLL [Wireless Local Loop]
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    • H04W84/06Airborne or Satellite Networks

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Abstract

The embodiment of the invention provides a method and a device for optimizing the capacity of a space-sky-ground cooperative marine communication network, wherein the method comprises the following steps: on the basis of a shore-based base station of each offshore cell, a large-scale fading channel between an unmanned aerial vehicle and an offshore terminal, a shore-based base station of each offshore cell, and a large-scale fading channel between the unmanned aerial vehicle and a far-sea terminal, an optimization problem model is constructed on the premise of ensuring that the interference on the far-sea terminal is less than a preset value; the objectives of the optimization problem model are: maximizing the total velocity of all offshore cells; and calculating an optimal solution of the optimization problem model, and determining the transmitting power of the base station of each offshore cell according to the optimal solution. According to the method and the device for optimizing the capacity of the space-air-ground cooperative marine communication network, provided by the embodiment of the invention, under a sea area communication scene, the interference on marine satellite users is controlled by optimizing and distributing the power of the unmanned aerial vehicle and the shore-based base station of the offshore cell, the maximization of the transmission rate of the offshore cell is realized, and the performance of the space-air-ground cooperative network is improved.

Description

Method and device for optimizing capacity of space-air-ground cooperative marine communication network
Technical Field
The invention relates to the technical field of communication, in particular to a method and a device for optimizing the capacity of a space-ground cooperative marine communication network.
Background
In recent years, the ever-increasing demands of various aspects such as marine exploration, shipping, military affairs and the like and the increasing frequency of human activities at sea, sea area broadband communication is receiving more and more attention.
However, sea communication is slow due to the particularity of its scene. At present, offshore wireless communication faces the problems of large deployment difficulty of a shore-based base station and few available sites, and the coverage range is limited; although satellite communication can solve the coverage problem of sea area communication, the satellite communication has high cost and large transmission delay, and limits the development of sea area communication to high bandwidth and low delay direction. The satellite system and the ground system are almost independent from each other, and the interference problem caused by incompatibility among the systems due to non-uniform distribution of communication frequency bands and bandwidths greatly restricts the development of sea area communication.
Aiming at the problem of small coverage of coastal base stations, the gradually-emerging unmanned aerial vehicle communication has flexible mobility, can make up the defect of limited site of the shore base station, covers communication blind areas, enlarges the offshore broadband communication range and improves the communication quality. The comprehensive consideration of the shore-based base station, the unmanned aerial vehicle base station and the satellite system is an important way for improving the coverage performance of the ocean network, but the difficult problem of complex interference inside the system and between the systems is faced, and the technical problem that how to coordinate the resource allocation strategy of each system, control the interference and optimize the overall capacity of the network is needed to be solved urgently.
Disclosure of Invention
The embodiment of the invention provides a method and a device for optimizing the capacity of a space-air-ground cooperative marine communication network, which are used for solving the technical problems in the prior art.
In order to solve the above technical problem, in one aspect, an embodiment of the present invention provides a method for optimizing a capacity of a starry sky-ground cooperative marine communication network, including:
constructing an optimization problem model based on a large-scale fading channel between the base station of each offshore cell and an offshore terminal and a large-scale fading channel between the base station of each offshore cell and a far-sea terminal; the optimization problem model aims to: maximizing the total velocity of all offshore cells;
and calculating the optimal solution of the optimization problem model, and determining the transmitting power of all base stations of each offshore cell according to the optimal solution.
Further, the constraint conditions of the optimization problem model are as follows:
a. the sum of the power of all base stations of any target offshore cell is less than or equal to the total transmitting power of the target offshore cell;
b. the power of any base station of any target offshore cell is greater than or equal to zero;
c. the sum of the interferences of all the offshore cells to the open-sea terminal is less than or equal to a preset threshold value.
Further, the total velocity of all offshore cells is an average value of the total velocity of all offshore cells on a small scale.
Further, before constructing the optimization problem model, the method further includes:
determining a large-scale fading channel between the base station of each offshore cell and the offshore terminal according to the position of the base station of each offshore cell and the position of the offshore terminal; and determining a large-scale fading channel between the base station of each offshore cell and the open-sea terminal according to the position of the base station of each offshore cell and the position of the open-sea terminal.
On the other hand, an embodiment of the present invention provides a device for optimizing the capacity of a starry sky-ground cooperative marine communication network, including:
the building module is used for building an optimization problem model based on a large-scale fading channel between the base station of each offshore cell and the offshore terminal and a large-scale fading channel between the base station of each offshore cell and the offshore terminal; the optimization problem model aims to: maximizing the total velocity of all offshore cells;
and the calculation module is used for calculating the optimal solution of the optimization problem model and determining the transmitting power of all base stations of each offshore cell according to the optimal solution.
Further, the constraint conditions of the optimization problem model are as follows:
a. the sum of the power of all base stations of any target offshore cell is less than or equal to the total transmitting power of the target offshore cell;
b. the power of any base station of any target offshore cell is greater than or equal to zero;
c. the sum of the interferences of all the offshore cells to the open-sea terminal is less than or equal to a preset threshold value.
Further, the total velocity of all offshore cells is an average value of the total velocity of all offshore cells on a small scale.
The system further comprises a determining module, wherein the determining module is used for determining a large-scale fading channel between the base station of each offshore cell and the offshore terminal according to the position of the base station of each offshore cell and the position of the offshore terminal, and determining the large-scale fading channel between the base station of each offshore cell and the offshore terminal according to the position of the base station of each offshore cell and the position of the offshore terminal.
In another aspect, an embodiment of the present invention provides an electronic device, including: a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the method provided by the first aspect when executing the computer program.
In yet another aspect, an embodiment of the present invention provides a non-transitory computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, implements the steps of the method provided in the first aspect.
According to the method and the device for optimizing the capacity of the space-air-ground cooperative marine communication network, provided by the embodiment of the invention, under a sea area communication scene, the interference on marine satellite users is controlled by optimizing and distributing the power of the unmanned aerial vehicle and the shore-based base station of the offshore cell, the maximization of the transmission rate of the offshore cell is realized, and the performance of the space-air-ground cooperative network is improved.
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Fig. 1 is a schematic diagram of a method for optimizing the capacity of a starry sky-ground cooperative marine communication network according to an embodiment of the present invention;
FIG. 2 is a schematic view of a scene of a space-earth cooperative marine communication network according to an embodiment of the present invention;
FIG. 3 is a diagram illustrating comparison of simulation performance under different conditions according to an embodiment of the present invention;
fig. 4 is a schematic diagram of a device for optimizing the capacity of a starry sky-ground cooperative marine communication network according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present invention without making any creative effort, shall fall within the protection scope of the present invention.
Fig. 1 is a schematic diagram of a capacity optimization method of a starry sky-ground-collaborative marine communication network according to an embodiment of the present invention, and as shown in fig. 1, an embodiment of the present invention provides a capacity optimization method of a starry sky-ground-collaborative marine communication network, where an execution main body of the capacity optimization method is a capacity optimization device of a starry sky-ground-collaborative marine communication network. The method comprises the following steps:
s101, constructing an optimization problem model based on a large-scale fading channel between a base station of each offshore cell and an offshore terminal and a large-scale fading channel between the base station of each offshore cell and a remote terminal; the optimization problem model aims to: maximizing the total velocity of all offshore cells.
Specifically, first, an optimization problem model is constructed according to a large-scale fading channel between a base station of each offshore cell (cell for short) and an offshore terminal, and a large-scale fading channel between a base station of each offshore cell and an offshore terminal, and the optimization problem model has the following targets: maximizing the total velocity of all offshore cells.
And determining a large-scale fading channel between the base station and the offshore terminal of each offshore cell according to the offshore cell base station position information and the offshore terminal position information. And determining a large-scale fading channel between the base station of each offshore cell and the open-sea terminal according to the position information of the base station of the offshore cell and the position information of the open-sea terminal.
An offshore terminal (also called an offshore user) refers to a terminal located within the coverage of an offshore cell, which is provided with communication services by a base station of the offshore cell. A marine terminal (also referred to as a satellite user) refers to a terminal within a range that is not covered by an offshore cell, and the marine terminal is provided with a communication service by a satellite. The base station of the offshore cell comprises a shore-based base station and/or a drone base station, and the offshore terminal is cooperatively provided with communication service by the shore-based base station and/or the drone base station of the offshore cell.
And S102, calculating an optimal solution of the optimization problem model, and determining the transmitting power of all base stations of each offshore cell according to the optimal solution.
Specifically, after determining the optimization problem model, an optimal solution of the optimization problem model is calculated, the optimal solution is the optimal transmission power of the base station of each offshore cell, and the transmission power of all the base stations of each offshore cell is determined according to the optimal solution.
In the process of calculating the optimal solution of the optimization problem model, firstly, the objective function needs to be simplified, and the solution complexity is reduced.
Then, the transmitting power of each offshore cell is initialized, a power sharing strategy is adopted in each offshore cell to enable the offshore cell to meet the interference limit of the satellite users, and a termination threshold of algorithm iteration is given.
And finally, solving two optimization sub-problems in each iteration process until the iteration is finished, and obtaining the optimal solution of the optimization problem model.
The method for optimizing the capacity of the satellite-air-ground cooperative marine communication network, provided by the embodiment of the invention, is oriented to a satellite-air-ground cooperative hybrid network in a sea area communication scene, fully considers the problems of inter-cell interference and inter-network interference caused by frequency spectrum sharing, takes the total capacity of a plurality of offshore cell systems as an optimization target, and obtains the large-scale fading information of a channel by effectively utilizing the course information of a marine vessel, so that the self-adaptive distribution of the power of an unmanned aerial vehicle and a shore-based base station is realized, the interference limitation on satellite users is met, the total capacity of the offshore cell systems is improved, and the performance of the satellite-air-ground cooperative network oriented to the sea area communication is further improved.
Based on any of the above embodiments, further, the constraint conditions of the optimization problem model are as follows:
a. the sum of the power of all base stations of any target offshore cell is less than or equal to the total transmitting power of the target offshore cell;
b. the power of any base station of any target offshore cell is greater than or equal to zero;
c. the sum of the interferences of all the offshore cells to the open-sea terminal is less than or equal to a preset threshold value.
Specifically, in the embodiment of the present invention, the total transmission power of the offshore cell and the interference power of the satellite user (open-sea terminal) are used as limiting conditions, and the specific constraint conditions are as follows:
the sum of the power of all base stations of any offshore cell is less than or equal to the total transmitting power of the offshore cell.
The power allocated to any base station of any offshore cell is greater than or equal to zero.
The sum of the interferences of all the offshore cells to the open-sea terminal is less than or equal to a preset threshold value.
The method for optimizing the capacity of the satellite-air-ground cooperative marine communication network, provided by the embodiment of the invention, is oriented to a satellite-air-ground cooperative hybrid network in a sea area communication scene, fully considers the problems of inter-cell interference and inter-network interference caused by frequency spectrum sharing, takes the total capacity of a plurality of offshore cell systems as an optimization target, and obtains the large-scale fading information of a channel by effectively utilizing the course information of a marine vessel, so that the self-adaptive distribution of the power of an unmanned aerial vehicle and a shore-based base station is realized, the interference limitation on satellite users is met, the total capacity of the offshore cell systems is improved, and the performance of the satellite-air-ground cooperative network oriented to the sea area communication is further improved.
Based on any of the above embodiments, further, the total velocity of all offshore cells refers to an average value of the total velocity of all offshore cells on a small scale.
Specifically, in the embodiment of the present invention, the total velocity of all the offshore cells refers to an average value of the total velocity of all the offshore cells at a small scale.
The method for optimizing the capacity of the satellite-air-ground cooperative marine communication network, provided by the embodiment of the invention, is oriented to a satellite-air-ground cooperative hybrid network in a sea area communication scene, fully considers the problems of inter-cell interference and inter-network interference caused by frequency spectrum sharing, takes the total capacity of a plurality of offshore cell systems as an optimization target, and obtains the large-scale fading information of a channel by effectively utilizing the course information of a marine vessel, so that the self-adaptive distribution of the power of an unmanned aerial vehicle and a shore-based base station is realized, the interference limitation on satellite users is met, the total capacity of the offshore cell systems is improved, and the performance of the satellite-air-ground cooperative network oriented to the sea area communication is further improved.
Based on any one of the above embodiments, further before the building of the optimization problem model, the method further includes:
determining a large-scale fading channel between the base station of each offshore cell and the offshore terminal according to the position of the base station of each offshore cell and the position of the offshore terminal; and determining a large-scale fading channel between the base station of each offshore cell and the open-sea terminal according to the position of the base station of each offshore cell and the position of the open-sea terminal.
Specifically, in the embodiment of the present invention, before constructing the optimization problem model, a large-scale fading channel between the base station and the offshore terminal of each offshore cell needs to be determined according to the offshore cell base station location information and the offshore terminal location information. And determining a large-scale fading channel between the base station of each offshore cell and the open-sea terminal according to the position information of the base station of the offshore cell and the position information of the open-sea terminal.
The method for optimizing the capacity of the satellite-air-ground cooperative marine communication network, provided by the embodiment of the invention, is oriented to a satellite-air-ground cooperative hybrid network in a sea area communication scene, fully considers the problems of interference in the network and interference among networks caused by frequency spectrum sharing, takes the total capacity of a plurality of offshore cell systems as an optimization target, and obtains the large-scale fading information of a channel by effectively utilizing the course information of a marine vessel, so that the self-adaptive distribution of the power of an unmanned aerial vehicle and a shore-based base station is realized, the interference limitation on satellite users is met, the total capacity of the offshore cell systems is improved, and the performance of the satellite-air-ground cooperative network oriented to the sea area communication is further improved.
The method in the above embodiments is further described below with a specific example:
in the sea communication scenario, assume that there are K offshore cells, each of which has a target mobile subscriber (which is determined by the scheduling policy of the system and is updated correspondingly as the scheduling policy of the system changes), and there are N cells in the kth cellkShore-based base station and PkThe unmanned aerial vehicle base station performs cooperative service, and offshore cells are connected through a return link to realizeAnd sharing channel information. And the shore-based base station and the remote sea area which cannot be covered by the unmanned aerial vehicle base station communicate through a satellite network. All users share the same frequency band, a shore-based base station, an unmanned aerial vehicle base station and a far-sea terminal are all assumed to be provided with a single antenna, and the near-sea terminal is provided with an MkA root antenna.
Consider a scenario where there is only one communication terminal per offshore cell. Definition H(k,i)Is a channel matrix between the base station of the ith offshore cell (including the shore-based base station and the drone base station) and the offshore terminal of the kth offshore cell,
Figure BDA0002423774180000071
h′(i)is a channel matrix between the base station of the ith offshore cell and the open-sea terminal,
Figure BDA0002423774180000072
their expressions are as follows:
H(k,i)=S(k,i)L(k,i)
h′(i)=s′(i)L′(i)
wherein,
Figure BDA0002423774180000073
and the small-scale fading channel matrix is represented, and each element in the matrix is an independent and identically distributed cyclic complex Gaussian variable with the mean value of 0 and the variance of 1.
Figure BDA0002423774180000074
Representing a large-scale fading channel matrix, and L' are diagonal matrices. For convenience of expression, define
Figure BDA0002423774180000075
Is L(k,i)The n-th diagonal element is a diagonal element,
Figure BDA0002423774180000076
is L'(i)The nth diagonal element.
Definition of
Figure BDA0002423774180000077
For the transmission of the ith offshore cell, let n(k)Is additive white Gaussian noise of kth offshore cell, each element of which is mean 0 and variance σ2Independent and equally distributed cyclic complex gaussian variables. Definition of
Figure BDA0002423774180000078
Is the average value of the noise and interference signal power suffered by the k-th cell user under small-scale fading,
Figure BDA0002423774180000079
the expression of (a) is as follows:
Figure BDA00024237741800000710
rate available to the kth cell user is denoted by R(k)(Φ) represents, R(k)The expression of (Φ) is as follows:
Figure BDA00024237741800000711
where Φ is the power matrix of all base stations in the system, Φ is diag { Φ }(1),...,Φ(K)},Φ(k)For the power matrix of the kth offshore cell, assume that the maximum transmit power of each cell is a constant value P(k)The transmission power of each cell should satisfy the following condition:
Figure BDA00024237741800000813
considering the interference between networks, when a satellite user approaches an offshore cell, the satellite user is subjected to the joint interference of downlink signal powers of a plurality of cell shore-based base stations and an unmanned aerial vehicle base station, and in order to ensure the communication quality of the satellite network, when the offshore cell distributes power, the interference limiting conditions to the satellite user need to be met as follows:
Figure BDA0002423774180000081
wherein,
Figure BDA0002423774180000082
maximum interference power threshold for satellite users, ES′[·]Averaging is performed on small scale fall-off.
With s' being an independent identically distributed complex gaussian variable, the following transformation can be performed:
Figure BDA0002423774180000083
because it is difficult to obtain accurate small-scale fading channel information, the embodiment of the invention provides that only large-scale fading channel information is utilized to reduce the system overhead. Thus the average of the total offshore cell rate under small-scale fading
Figure BDA0002423774180000084
Is the goal to be optimized and,
Figure BDA0002423774180000085
the expression of (a) is as follows:
Figure BDA0002423774180000086
the specific steps for establishing and solving the optimization problem are as follows:
(1) establishing a space-air ground cooperative network power optimization problem, aiming at maximizing the total speed of the offshore cell and taking the maximum transmitting power P of the offshore cell(k)K1, K and interference power threshold to satellite users
Figure BDA0002423774180000087
For the constraint, the optimization problem model is formulated as follows:
Figure BDA0002423774180000088
s.t.tr(Φ(k))≤P(k)
Figure BDA0002423774180000089
Figure BDA00024237741800000810
(2) simplifying the objective function, reducing the solving complexity, defining g (phi, w),
Figure BDA00024237741800000811
wherein w ═ w1,...,wK]TIs an introduced variable, which needs to satisfy wkK is not less than 0, K is 1
Figure BDA00024237741800000812
(3) Initializing transmitting power phi of each cell by adopting power sharing strategy0
Figure BDA0002423774180000091
And with less power to ensure that the initial value meets the interference limit for the satellite users, and a termination threshold epsilon for the algorithm iteration is given.
(4) In the s-th iteration, phi is fixeds-1Solving the following sub-problem to obtain ws
Figure BDA0002423774180000092
s.t ws≥0
For g (phi, w) at phis-1Taylor expansion is performed to convert g (phi, w) to g (phi, w | phi)s-1)。
Figure BDA0002423774180000093
Wherein,
Figure BDA0002423774180000094
Figure BDA0002423774180000095
Gk=diag{Gk,1,...,Gk,Kis a
Figure BDA0002423774180000096
A gradient found for phi, and
Figure BDA0002423774180000097
Gk,k=0。
in the s-th iteration, w is fixedsSolving the following sub-problems:
Figure BDA0002423774180000098
Figure BDA00024237741800000913
Figure BDA00024237741800000914
Figure BDA0002423774180000099
(5) phi obtained from (4)sComputing
Figure BDA00024237741800000910
And the result of step s-1
Figure BDA00024237741800000911
And (5) performing subtraction, and if an iteration termination condition is met, ending the iteration. The expression of the iteration termination condition is as follows:
Figure BDA00024237741800000912
Φsotherwise, repeating (2) to (5) for the solved power allocation scheme until the iteration is terminated.
The embodiment of the invention can effectively solve the problem of interference of offshore cells to satellite users on the premise of only utilizing large-scale channel information, and can obviously reduce the mutual interference among the cells and realize the maximization of the system capacity of the cells by jointly optimizing the power distribution of the multi-cell unmanned aerial vehicle and the base station. Compared with the strategy of averagely distributing the transmitting power to the communication equipment, the method can obtain the remarkable improvement of the system capacity on the premise of controlling the interference to the satellite users.
Fig. 2 is a schematic view of a scene of a starry sky-ground cooperative marine communication network according to an embodiment of the present invention, as shown in fig. 2, a starry sky-ground cooperative network covering a coastal area includes 3 offshore cells, a radius of each cell is assumed to be r 300m, coordinates of centers of circles in a two-dimensional plane are (0,0), (550,0), (1100,0), and the cells are partially overlapped. Each cell has NkA base station, wherein N1=N3=2,N2=1,PkAn unmanned aerial vehicle as an aerial base station for assisting in providing communication services, wherein P1=P3=1,P 22, offshore terminals have 3 antennas, Mk3, k is 1,2, 3. A satellite user carrying a single antenna travels outside the coverage area of an offshore cell. Unmanned aerial vehicle base stations and shore-based base stations are randomly distributed in a cell, the positions of satellite users are (550-600) in the circle center, the radius of the satellite users is 300m, the satellite users are randomly generated in the cell, the users in the offshore cell are respectively fixed at the edge of the cell far away from the shore, and the coordinates of the users are (0-300), (550-300) and (1100-300).
The parameters associated with the large scale fading channel model are set to a 5.0188,c=3×108m/s,σ2107dBm, 2GHz, 1 × 10 iteration threshold ∈-4Environmental parameter (η)LoSNLoS) (0.1, 21). Based on these parameters, the cell power and the interference threshold P of the satellite users are given according to the actual situation(k)
Figure BDA0002423774180000101
And the iteration method of the optimization problem can calculate the total capacity of the offshore cell while ensuring the communication quality of the satellite user.
The shore-based base station and the unmanned aerial vehicle scheduled according to the air cooperate to provide broadband communication service for offshore ships, the satellite system provides service for middle and far sea users, in order to improve the spectrum resource efficiency of the whole system, the shore-based base station and the unmanned aerial vehicle base station can share the spectrum resource of the satellite system, on one hand, the spectrum efficiency is improved, on the other hand, the interference problem between systems and in the systems is caused, the power distribution strategies of the shore-based base station and the unmanned aerial vehicle base station need to be optimized and adjusted, therefore, the interference is coordinated, and the broadband communication and the speed performance of the system are maximized.
Under the actual scene, the simulation adopts an equipartition strategy as an iteration initial value,
Figure BDA0002423774180000102
where P ═ 10dBm, I is the identity matrix. For offshore cell power threshold P(k)k 1,2,3 from-5 dBm to 20dBm, interference limitation for satellite users
Figure BDA0002423774180000103
And (4) performing simulation from-110 dBm to-80 dBm to obtain the power distribution strategy of offshore cells and the total capacity of all cells under different constraint conditions. As shown in fig. 3, it can be seen from the simulation result that the power allocation method based on the large-scale fading channel information provided in the embodiment of the present invention can be used in a scenario of spectrum sharing for space-space coordination in a scenario of spectrum sharingThe problem of serious interference is brought with the service, when can ensure that satellite network normal work, reduces the mutual interference between the coastal waters district, for the scheme of power average distribution, obtains apparent capacity gain, solves the interference for unmanned aerial vehicle assisted satellite-ground network in the sea area broadband communication, promotes communication capacity and provides effective scheme.
Based on any of the above embodiments, fig. 4 is a schematic diagram of a star field ground cooperative marine communication network capacity optimization device provided by an embodiment of the present invention, and as shown in fig. 4, an embodiment of the present invention provides a star field ground cooperative marine communication network capacity optimization device, which includes a construction module 401 and a calculation module 402, where:
the building module 401 is configured to build an optimization problem model based on a large-scale fading channel between the base station of each offshore cell and the offshore terminal, and a large-scale fading channel between the base station of each offshore cell and the offshore terminal; the optimization problem model aims to: maximizing the total velocity of all offshore cells; the calculation module 402 is configured to calculate an optimal solution of the optimization problem model, and determine the transmission power of the base station of each offshore cell according to the optimal solution.
The embodiment of the present invention provides a device for optimizing the capacity of a star-sky-earth cooperative marine communication network, which is used for executing the method in any one of the above embodiments, and the specific steps of executing the method in one of the above embodiments by using the device provided in this embodiment are the same as those in the corresponding embodiment, and are not described herein again.
The star-air-ground cooperative marine communication network capacity optimization device provided by the embodiment of the invention is a star-air-ground cooperative network for sea area communication, fully considers the problem of interference in the network and between networks caused by frequency spectrum sharing, takes the total capacity of a plurality of offshore cell systems as an optimization target, obtains large-scale fading information of a channel by effectively utilizing course information of a marine vessel, realizes the self-adaptive distribution of power of an unmanned aerial vehicle and a shore-based base station, meets the interference limitation on satellite users, improves the total capacity of the offshore cell systems, and further improves the performance of the star-air-ground cooperative network for sea area communication.
Fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present invention, and as shown in fig. 5, the electronic device includes: a processor (processor)501, a communication Interface (Communications Interface)502, a memory (memory)503, and a communication bus 504, wherein the processor 501, the communication Interface 502, and the memory 503 are configured to communicate with each other via the communication bus 504. The processor 501 may call a computer program stored on the memory 503 and executable on the processor 501 to perform the following steps:
constructing an optimization problem model based on a large-scale fading channel between the base station of each offshore cell and an offshore terminal and a large-scale fading channel between the base station of each offshore cell and a far-sea terminal; the optimization problem model aims to: maximizing the total velocity of all offshore cells;
and calculating an optimal solution of the optimization problem model, and determining the transmitting power of the base station of each offshore cell according to the optimal solution.
In addition, the logic instructions in the memory may be implemented in the form of software functional units and may be stored in a computer readable storage medium when sold or used as a stand-alone product. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
Further, embodiments of the present invention provide a computer program product comprising a computer program stored on a non-transitory computer-readable storage medium, the computer program comprising program instructions which, when executed by a computer, enable the computer to perform the steps of the above-described method embodiments, for example, including:
constructing an optimization problem model based on a large-scale fading channel between the base station of each offshore cell and an offshore terminal and a large-scale fading channel between the base station of each offshore cell and a far-sea terminal; the optimization problem model aims to: maximizing the total velocity of all offshore cells;
and calculating an optimal solution of the optimization problem model, and determining the transmitting power of the base station of each offshore cell according to the optimal solution.
Further, an embodiment of the present invention provides a non-transitory computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the computer program implements the steps in the above method embodiments, for example, including:
constructing an optimization problem model based on a large-scale fading channel between the base station of each offshore cell and an offshore terminal and a large-scale fading channel between the base station of each offshore cell and a far-sea terminal; the optimization problem model aims to: maximizing the total velocity of all offshore cells;
and calculating an optimal solution of the optimization problem model, and determining the transmitting power of the base station of each offshore cell according to the optimal solution.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims (8)

1. A method for optimizing the capacity of a space-ground cooperative marine communication network is characterized by comprising the following steps:
constructing an optimization problem model based on a large-scale fading channel between the base station of each offshore cell and an offshore terminal and a large-scale fading channel between the base station of each offshore cell and a far-sea terminal; the optimization problem model aims to: maximizing the total velocity of all offshore cells; the base station of the offshore cell comprises a shore-based base station and an unmanned aerial vehicle base station, and the offshore terminal provides communication service by the cooperation of the shore-based base station and the unmanned aerial vehicle base station of the offshore cell;
calculating an optimal solution of the optimization problem model, and determining the transmitting power of all base stations of each offshore cell according to the optimal solution;
the constraint conditions of the optimization problem model are as follows:
a. the sum of the power of all base stations of any target offshore cell is less than or equal to the total transmitting power of the target offshore cell;
b. the power of any base station of any target offshore cell is greater than or equal to zero;
c. the sum of the interference of the transmission signals of the base stations in all the offshore cells to the open-sea terminal is less than or equal to a preset threshold value.
2. The method for optimizing the capacity of the space-sky-land cooperative marine communication network according to claim 1, wherein the total rate of all the offshore cells is an average value of the total rate of all the offshore cells under small-scale fading.
3. The method for optimizing the capacity of the space-sky-earth cooperative marine communication network according to claim 1, wherein before the constructing the optimization problem model, the method further comprises:
determining a large-scale fading channel between the base station of each offshore cell and the offshore terminal according to the position of the base station of each offshore cell and the position of the offshore terminal; and determining a large-scale fading channel between the base station of each offshore cell and the open-sea terminal according to the position of the base station of each offshore cell and the position of the open-sea terminal.
4. A device for optimizing the capacity of a space-ground cooperative marine communication network is characterized by comprising:
the building module is used for building an optimization problem model based on a large-scale fading channel between the base station of each offshore cell and the offshore terminal and a large-scale fading channel between the base station of each offshore cell and the offshore terminal; the optimization problem model aims to: maximizing the total velocity of all offshore cells; the base station of the offshore cell comprises a shore-based base station and an unmanned aerial vehicle base station, and the offshore terminal provides communication service by the cooperation of the shore-based base station and the unmanned aerial vehicle base station of the offshore cell;
the calculation module is used for calculating the optimal solution of the optimization problem model and determining the transmitting power of all base stations of each offshore cell according to the optimal solution;
the constraint conditions of the optimization problem model are as follows:
a. the sum of the power of all base stations of any target offshore cell is less than or equal to the total transmitting power of the target offshore cell;
b. the power of any base station of any target offshore cell is greater than or equal to zero;
c. the sum of the interference of the transmission signals of the base stations in all the offshore cells to the open-sea terminal is less than or equal to a preset threshold value.
5. The space-air cooperative marine communication network capacity optimization device according to claim 4, wherein the total rate of all offshore cells is an average value of the total rate of all offshore cells under small-scale fading.
6. The space-air-ground cooperative marine communication network capacity optimization device according to claim 4, further comprising a determining module, wherein the determining module is configured to determine a large-scale fading channel between the base station and the offshore terminal of each offshore cell according to the position of the base station and the position of the offshore terminal of each offshore cell, and determine the large-scale fading channel between the base station and the offshore terminal of each offshore cell according to the position of the base station and the position of the offshore terminal of each offshore cell.
7. An electronic device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor, when executing the computer program, performs the steps of the method for space-ground collaborative marine communication network capacity optimization according to any one of claims 1 to 3.
8. A non-transitory computer readable storage medium having stored thereon a computer program, wherein the computer program, when executed by a processor, performs the steps of the method for space-ground collaborative marine communication network capacity optimization according to any one of claims 1 to 3.
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