CN118199765A - Implementation method of wide and narrow band cluster dispatching desk - Google Patents
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- 238000000034 method Methods 0.000 title claims abstract description 36
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- 238000004891 communication Methods 0.000 claims abstract description 13
- 238000013468 resource allocation Methods 0.000 claims description 17
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B17/00—Monitoring; Testing
- H04B17/30—Monitoring; Testing of propagation channels
- H04B17/382—Monitoring; Testing of propagation channels for resource allocation, admission control or handover
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B17/00—Monitoring; Testing
- H04B17/30—Monitoring; Testing of propagation channels
- H04B17/309—Measuring or estimating channel quality parameters
- H04B17/318—Received signal strength
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- H—ELECTRICITY
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- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/60—Scheduling or organising the servicing of application requests, e.g. requests for application data transmissions using the analysis and optimisation of the required network resources
- H04L67/61—Scheduling or organising the servicing of application requests, e.g. requests for application data transmissions using the analysis and optimisation of the required network resources taking into account QoS or priority requirements
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- H—ELECTRICITY
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- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
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Abstract
The invention relates to a realization method of a broadband and narrowband cluster dispatching desk, in particular to the field of digital cluster wireless communication, which is used for measuring the perception and selection wireless signal intensity of narrowband users, for perceiving and selection spectrum perception of broadband users, collecting wireless signal intensity data and spectrum perception data, improving the perception capability of a system on broadband and narrowband user resource utilization conditions and environment information, providing beneficial data support for resource management and dispatching decision, removing noise on the wireless signal intensity data and spectrum perception data by utilizing a mean filter, reducing the fluctuation of the data, designing an allocation strategy for the wireless signal intensity data and the spectrum perception data, constructing a topological structure of a broadband network, establishing a signal transmission model, carrying out topological ordering on base stations in the network, improving the efficiency and performance of the network, formulating a broadband and narrowband cluster dispatching protocol, and selecting dynamic shortest operation priority dispatching to reduce the task execution time of the broadband and narrowband users.
Description
Technical Field
The invention relates to the field of digital trunking wireless communication, in particular to a method for realizing a broadband and narrowband trunking dispatching desk.
Background
At present, a dispatching desk needs to process a large amount of data and information, the complexity of a system and the requirement on real-time performance are increased, the situation of unbalanced resource allocation occurs during multi-task dispatching, other tasks are delayed or cannot be executed in time, interference is obvious due to the change of spectrum resources when the current dispatching task is executed, the dispatching is wrong due to the problem of data stability, the waiting time of users is overlong and resources are competing due to multi-user access, dynamic resource allocation is lacked, and the utilization efficiency of spectrum resources is low.
Therefore, a method for implementing the broadband and narrowband trunking dispatch station is needed.
Disclosure of Invention
The invention provides a method for realizing a wide and narrow cluster dispatching desk aiming at the technical problems in the prior art, so as to solve the problems in the prior art.
The technical scheme for solving the technical problems is as follows: a realization method of a wide and narrow band cluster dispatching desk comprises the following steps:
S101, selecting wireless signal intensity measurement for perception of a narrowband user, selecting spectrum perception for perception of a wideband user, deploying a perception node of a wireless communication system, collecting wireless signal intensity data and spectrum perception data, checking and filling the wireless signal intensity data and the spectrum perception data, and removing noise from the wireless signal intensity data and the spectrum perception data by using a mean filter;
S102, designing an allocation strategy aiming at wireless signal strength data and spectrum sensing data, constructing a topological structure of a broadband network, establishing a signal transmission model, performing topological ordering on base stations in the network, calculating the coverage area of each base station according to the signal transmission model, and repeating the calculation of the coverage area and the resource allocation until all user equipment is covered;
S103, a wide and narrow band cluster scheduling protocol is formulated, resource allocation is dynamically adjusted according to the real-time network state and the user demand, and the time for executing tasks of the wide and narrow band users is reduced and adjusted by selecting dynamic shortest job priority scheduling;
In a preferred embodiment, in S101, the selection awareness technology acquires resource utilization conditions and environmental information of broadband and narrowband users in the system, including channel quality and user density, where the awareness of the narrowband users selects wireless signal strength measurement, determines connection status and quality between the user equipment and the base station by measuring wireless signal strength received by the wireless communication system, and further performs resource management and scheduling decision, where the awareness of the broadband users selects spectrum awareness, acquires a snapshot of spectrum usage conditions by scanning wireless signals in different frequency bands, reflects signal strength and noise level in the current frequency band, continuously monitors spectrum usage conditions and tracks changes of spectrum resources in real time, reflects availability, scarcity and priority of spectrum, deploys awareness nodes of the wireless communication system, acquires wireless signal strength data and spectrum awareness data, acquires signal strength index according to the acquired strength data, evaluates channel quality, and evaluates user density according to the number of base station connection users and wireless signaling data.
Further, checking whether error, unreasonable and inconsistent wireless signal intensity data and spectrum sensing data exist, deleting the data when the error, unreasonable and inconsistent wireless signal intensity data and spectrum sensing data exist, preparing a preparation data item to fill a missing value, removing bursty interference and noise in the process of collecting the wireless signal intensity data and the spectrum sensing data by using a mean filter, defining the size of a sliding window as N, taking the average of the data in the window as new data of a central point, sequentially sliding the sliding window backwards, repeating the average taking and sliding operation until all the data are processed smoothly, wherein the specific formula is as follows:
where F i represents the filtering result of the ith data point, D j represents the jth data point in the window, N represents the sliding window size, and M represents half the sliding window size.
In a preferred embodiment, in S102, an allocation policy is designed for the wireless signal strength data, the transmission power is dynamically adjusted according to the distance between users and the channel condition, the wireless signal data is focused in a specific direction by using beamforming, multiple users are supported by multiple access, the allocation policy is designed for spectrum sensing data, the spectrum resource allocation is dynamically adjusted according to the network load conditions of different users, the spectrum resource sharing is utilized to enable multiple users to share the spectrum resource of the same frequency band, and the physical spectrum resource is divided into virtual spectrum resources for realizing the spectrum allocation.
Further, constructing a topology structure of the broadband network, including connection relations between each base station and the user equipment, and establishing a signal transmission model including signal transmission loss and interference relations, and performing topology sequencing on the base stations in the network, including: sequencing according to the distance from a base station to a central position, wherein base stations closer to the central position are preferentially considered, sequencing according to the intensity of a base station transmitting signal, sequencing according to the current network load condition of the base stations, wherein base stations with low network load are selected, sequencing according to the interference relation among the base stations, sequencing according to the overlapping condition of coverage areas of the base stations, wherein base stations with small overlapping areas are preferentially selected, and calculating the coverage area of each base station according to a signal transmission model, wherein a specific calculation formula is as follows:
L＝Pt-20lg(d)-20lg(f)+147.55
Wherein L represents signal transmission loss, P t represents signal transmission power, d represents distance, f represents signal frequency, the maximum cell to which each user equipment belongs is determined according to the topological ordering result and the coverage area, and the calculation and the resource allocation of the coverage area are repeated until all the user equipment is covered.
In a preferred embodiment, in S103, a wide-narrow-band cluster scheduling protocol is formulated, including balancing fairness and resource allocation between wide-band and narrow-band users, maximizing system capacity, minimizing user delay, minimizing interference and spectrum utilization, dynamically adjusting resource allocation according to real-time network status and user requirements, selecting dynamic shortest job priority scheduling to reduce time for adjusting task execution of wide-narrow-band users, arranging all task execution of wide-narrow-band users to be executed into a task ready queue according to arrival time sequence, selecting next task to be executed from the task ready queue according to time length of task execution of wide-narrow-band users, executing selected task until task execution of wide-narrow-band users is completed, updating ready queue when new task execution of wide-narrow-band users arrives or current task execution of wide-narrow-band users is completed, obtaining time difference between task arrival time and task start execution time for each task execution of wide-narrow-band users, repeatedly selecting and updating until task execution of all wide-narrow-band users is completed.
The beneficial effects of the invention are as follows: the method has the advantages that different perception technologies are selected for narrowband users and broadband users in the system to obtain the resource utilization conditions and environment information of the broadband and narrowband users, the perception capability of the system to the broadband and narrowband user resource utilization conditions and environment information is improved, beneficial data support is provided for resource management and scheduling decisions, wrong, unreasonable and inconsistent wireless signal strength data and spectrum perception data are checked and deleted, scheduling errors or inaccuracy caused by data problems can be reduced, the fluctuation of the data is reduced by utilizing a mean filter, allocation strategies are designed for the wireless signal strength data and the spectrum perception data, the efficiency and performance of a network are improved, user equipment is guaranteed to obtain good coverage and communication quality, operation of the whole communication system is optimized, signal focusing and multiple access are realized by utilizing a beam forming technology, the directionality and coverage of signals are improved, the effect and interference are reduced, capacity and performance of the system are improved, the spectrum resources of the same frequency band are shared by multiple users through a spectrum sharing technology, the coverage area and the signal quality of the system are improved, the physical spectrum resources are divided into virtual spectrum resources, the demands of different users and services can be met more flexibly, the efficiency of the bandwidth resources of the different users and service are improved, the bandwidth management protocol is improved, the bandwidth of the system is effectively utilized, the bandwidth of the system is reduced, the bandwidth of the system is prolonged, the bandwidth is effectively, the bandwidth of the system is prolonged, the bandwidth of the system is guaranteed, the bandwidth is guaranteed, and the system is used by the bandwidth is prolonged, and the system is furthest is guaranteed, and has the bandwidth is used.
Drawings
FIG. 1 is a flow chart of the method of the present invention;
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
In the description of the present application, the terms "first," "second," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more of the described features. In the description of the present application, the meaning of "a plurality" is two or more, unless explicitly defined otherwise.
In the description of the present application, the term "for example" is used to mean "serving as an example, instance, or illustration. Any embodiment described as "for example" in this disclosure is not necessarily to be construed as preferred or advantageous over other embodiments. The following description is presented to enable any person skilled in the art to make and use the application. In the following description, details are set forth for purposes of explanation. It will be apparent to one of ordinary skill in the art that the present application may be practiced without these specific details. In other instances, well-known structures and processes have not been described in detail so as not to obscure the description of the application with unnecessary detail. Thus, the present application is not intended to be limited to the embodiments shown, but is to be accorded the widest scope consistent with the principles and features disclosed herein.
Example 1
The embodiment provides a method for implementing a broadband and narrowband cluster dispatching desk as shown in fig. 1, which specifically comprises the following steps:
S101, selecting wireless signal intensity measurement for perception of a narrowband user, selecting spectrum perception for perception of a wideband user, deploying a perception node of a wireless communication system, collecting wireless signal intensity data and spectrum perception data, checking and filling the wireless signal intensity data and the spectrum perception data, and removing noise from the wireless signal intensity data and the spectrum perception data by using a mean filter;
S102, designing an allocation strategy aiming at wireless signal strength data and spectrum sensing data, constructing a topological structure of a broadband network, establishing a signal transmission model, performing topological ordering on base stations in the network, calculating the coverage area of each base station according to the signal transmission model, and repeating the calculation of the coverage area and the resource allocation until all user equipment is covered;
S103, a wide and narrow band cluster scheduling protocol is formulated, resource allocation is dynamically adjusted according to the real-time network state and the user demand, and the time for executing tasks of the wide and narrow band users is reduced and adjusted by selecting dynamic shortest job priority scheduling.
Example 2
Further, the selection sensing technology acquires resource utilization conditions and environment information of broadband and narrowband users in a system, wherein the resource utilization conditions and environment information comprise channel quality and user density, sensing selection wireless signal intensity measurement of the narrowband users is performed, connection states and quality between user equipment and a base station are judged through measuring wireless signal intensity received by the wireless communication system, and resource management and scheduling decision are further performed, sensing selection frequency spectrum sensing of the broadband users is performed, a snapshot of frequency spectrum utilization conditions is acquired through scanning wireless signals of different frequency bands and is used for reflecting signal intensity and noise level of the current frequency band, sensing nodes of the wireless communication system are deployed and wireless signal intensity data and frequency spectrum sensing data are acquired through continuously monitoring the frequency spectrum utilization conditions and tracking frequency spectrum resource changes in real time and are used for reflecting availability, scarcity and priority of the frequency spectrum, signal intensity indexes are acquired according to the acquired intensity data, and the user density is estimated according to the number of the base station connection users and the wireless signaling data.
Example 3
Further, checking whether error, unreasonable and inconsistent wireless signal intensity data and spectrum sensing data exist, deleting the data when the error, unreasonable and inconsistent wireless signal intensity data and spectrum sensing data exist, preparing a preparation data item to fill a missing value, removing bursty interference and noise in the process of collecting the wireless signal intensity data and the spectrum sensing data by using a mean filter, defining the size of a sliding window as N, taking the average of the data in the window as new data of a central point, sequentially sliding the sliding window backwards, repeating the average taking and sliding operation until all the data are processed smoothly, wherein the specific formula is as follows:
where F i represents the filtering result of the ith data point, D j represents the jth data point in the window, N represents the sliding window size, and M represents half the sliding window size.
Example 4
Further, an allocation strategy is designed for wireless signal intensity data, the transmission power is dynamically adjusted according to the distance between users and the channel condition, the wireless signal data is focused in a specific direction by utilizing beam forming, multiple users are supported by multiple access and access is simultaneously carried out, the allocation strategy is designed for spectrum sensing data, the spectrum resource allocation is dynamically adjusted according to the network load conditions of different users, the spectrum resource sharing is utilized to enable a plurality of users to share the spectrum resource of the same frequency band, and the physical spectrum resource is divided into virtual spectrum resources for realizing the spectrum allocation.
Further, constructing a topology structure of the broadband network, including connection relations between each base station and the user equipment, and establishing a signal transmission model including signal transmission loss and interference relations, and performing topology sequencing on the base stations in the network, including: sequencing according to the distance from a base station to a central position, wherein base stations closer to the central position are preferentially considered, sequencing according to the intensity of a base station transmitting signal, sequencing according to the current network load condition of the base stations, wherein base stations with low network load are selected, sequencing according to the interference relation among the base stations, sequencing according to the overlapping condition of coverage areas of the base stations, wherein base stations with small overlapping areas are preferentially selected, and calculating the coverage area of each base station according to a signal transmission model, wherein a specific calculation formula is as follows:
L＝Pt-20lg(d)-20lg(f)+147.55
Wherein L represents signal transmission loss, P t represents signal transmission power, d represents distance, f represents signal frequency, the maximum cell to which each user equipment belongs is determined according to the topological ordering result and the coverage area, and the calculation and the resource allocation of the coverage area are repeated until all the user equipment is covered.
Example 5
Further, a wide and narrow band cluster scheduling protocol is formulated, which comprises balancing fairness and resource allocation between wide and narrow band users, maximizing system capacity, minimizing user delay and minimizing interference and spectrum utilization rate, dynamically adjusting resource allocation according to real-time network state and user demand, selecting dynamic shortest job priority scheduling to reduce task execution time of the wide and narrow band users, arranging all the task execution tasks to be executed into a task ready queue according to arrival time sequence, selecting next task to be executed from the task ready queue according to time length of task execution of the wide and narrow band users, executing the selected task until the task execution of the wide and narrow band users is completed, updating the ready queue when new task execution task of the wide and narrow band users arrives or the task execution of the wide and narrow band users is completed currently, repeatedly selecting and updating until the task execution of all the wide and narrow band users is completed.
In the foregoing embodiments, the descriptions of the embodiments are focused on, and for those portions of one embodiment that are not described in detail, reference may be made to the related descriptions of other embodiments.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (10)
1. The implementation method of the wide and narrow cluster dispatching desk is characterized by comprising the following steps of:
S101, selecting wireless signal intensity measurement for perception of a narrowband user, selecting spectrum perception for perception of a wideband user, deploying a perception node of a wireless communication system, collecting wireless signal intensity data and spectrum perception data, checking and filling the wireless signal intensity data and the spectrum perception data, and removing noise from the wireless signal intensity data and the spectrum perception data by using a mean filter;
S102, designing an allocation strategy aiming at wireless signal strength data and spectrum sensing data, constructing a topological structure of a broadband network, establishing a signal transmission model, performing topological ordering on base stations in the network, calculating the coverage area of each base station according to the signal transmission model, and repeating the calculation of the coverage area and the resource allocation until all user equipment is covered;
S103, a wide and narrow band cluster scheduling protocol is formulated, resource allocation is dynamically adjusted according to the real-time network state and the user demand, and the time for executing tasks of the wide and narrow band users is reduced and adjusted by selecting dynamic shortest job priority scheduling.
2. The method for implementing the broadband and narrowband cluster scheduling station according to claim 1, wherein the method comprises the following steps: in S101, a selection sensing technology acquires resource utilization conditions and environment information of broadband and narrowband users in a system, including channel quality and user density, wherein for sensing selection wireless signal intensity measurement of narrowband users, connection state and quality between user equipment and a base station are determined by measuring wireless signal intensity received by a wireless communication system, and resource management and scheduling decision are further performed, wherein for sensing selection spectrum sensing of broadband users, a snapshot of spectrum utilization conditions is acquired by scanning wireless signals of different frequency bands, the snapshot is used for reflecting signal intensity and noise level of the current frequency band, the sensing node of the wireless communication system is deployed and wireless signal intensity data and spectrum sensing data are acquired by continuously monitoring spectrum utilization conditions and tracking spectrum resource changes in real time, the availability, scarcity and priority of the spectrum are reflected, signal intensity index is acquired according to the acquired intensity data, the channel quality is estimated, the user intensity data and spectrum sensing data are estimated according to the number of base station connection users and wireless signaling data, and a mean filter is utilized for checking and filling the wireless signal intensity data and removing noise from the wireless signal intensity data and the sensing data.
3. The method for implementing the broadband and narrowband cluster scheduling station according to claim 2, wherein the method comprises the following steps: checking whether error, unreasonable and inconsistent wireless signal intensity data and spectrum sensing data exist, deleting the data when the error, unreasonable and inconsistent wireless signal intensity data and spectrum sensing data exist, preparing a preparation data item to fill in missing values, removing bursty interference and noise in the process of collecting the wireless signal intensity data and the spectrum sensing data by using a mean filter, defining the size of a sliding window as N, averaging the data in the window as new data of a central point, sequentially sliding the sliding window backwards, and repeating the averaging and sliding operation until all the data are processed smoothly.
4. The method for implementing a broadband and narrowband trunking dispatch station according to claim 3, wherein: the specific formula of the average filter is as follows:
where F i represents the filtering result of the ith data point, D j represents the jth data point in the window, N represents the sliding window size, and M represents half the sliding window size.
5. The method for implementing the broadband and narrowband cluster scheduling station according to claim 1, wherein the method comprises the following steps: in S102, an allocation policy is designed for wireless signal strength data, the transmission power is dynamically adjusted according to the distance between users and the channel condition, the wireless signal data is focused in a specific direction by utilizing beamforming, multiple users are supported by multiple access and simultaneously access, an allocation policy is designed for spectrum sensing data, the allocation of spectrum resources is dynamically adjusted according to the network load conditions of different users, the spectrum resources of the same frequency band are shared by a plurality of users by utilizing spectrum sharing, the physical spectrum resources are divided into virtual spectrum resources, the virtual spectrum resources are used for realizing spectrum allocation, constructing a topological structure of a broadband network, establishing a signal transmission model, and performing topological ordering on base stations in the network.
6. The method for implementing the broadband and narrowband cluster scheduling station according to claim 5, wherein the method comprises the following steps: the topology ranking specifically comprises ranking according to the distance from the base station to the central position, wherein base stations closer to the central position are preferentially considered, ranking according to the intensity of the transmitted signals of the base stations, ranking according to the current network load condition of the base stations, selecting base stations with low network load, ranking according to the interference relation among the base stations, ranking according to the overlapping condition of the coverage areas of the base stations, preferentially selecting base stations with small coverage areas, and calculating the coverage area of each base station according to a signal transmission model.
7. The method for implementing the broadband and narrowband cluster scheduling station according to claim 6, wherein the method comprises the following steps: the specific formula for calculating the coverage area of each base station is as follows:
L＝Pt-20lg(d)-20lg(f)+147.55
where L represents signal transmission loss, P t represents signal transmission power, d represents distance, and f represents signal frequency.
8. The method for implementing the broadband and narrowband cluster scheduling station according to claim 1, wherein the method comprises the following steps: in S103, a broad-narrow-band cluster scheduling protocol is formulated, including fairness and resource allocation balance between broad-band and narrow-band users, maximizing system capacity, minimizing user delay, and minimizing interference and spectrum utilization, and selecting dynamic shortest job priority scheduling reduces and adjusts task execution time of broad-narrow-band users.
9. The method for implementing the broadband and narrowband cluster scheduling station according to claim 8, wherein the method comprises the following steps: the specific steps of the dynamic shortest job priority scheduling to reduce and adjust the task execution time of the wide and narrow band user are as follows: and arranging all the tasks to be executed for adjusting the width and the narrow band users into a task ready queue according to the arrival time sequence, selecting the next task to be executed from the task ready queue according to the time length for adjusting the width and the narrow band users to execute the tasks, and executing the selected task until the tasks to be executed by the width and the narrow band users are completed.
10. The method for implementing the broadband and narrowband trunking dispatch station of claim 9, wherein: in the task execution process, when a new bandwidth and narrowband user execution task arrives or the current bandwidth and narrowband user execution task is completed, updating the ready queue, and repeatedly selecting and updating the difference between the arrival time of each bandwidth and narrowband user execution task and the time when the task starts to execute for each bandwidth and narrowband user execution task until all bandwidth and narrowband user execution tasks are completed.
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