Research And Implementation Of Wireless Communication Network Parameter Planning System Based On PSO Algorithm

With the rapid development of wireless communication,wireless communication networks are becoming more and more complex.On the one hand,the variety of communication equipment,diverse network standards,complex network layers,and large network scale make the wireless communication network planning significantly more difficult.On the other hand,in some specific application scenarios,wireless parameter planning has specific features and requirements.For example,in a military wireless communication network,the wireless base station may undergo rapid changes in a short time,the wireless network deployment environment may be complex and variable,and the planning system has a low delay requirement.The military wireless network is required to be frequently dynamic due to these factors.The military wireless parameter planning system is required to be real-time,more accurate and optimal.The existing wireless parameter planning system is mainly static.This method optimizes the wireless parameters to be planned according to the network state at a certain moment,and sometimes it relys on the experience of the network administrator to adjust the planning parameter configuration.This kind of planning can achieve better planning results when there are less changes of the network environment,but it is not applicable to some networks whose network status and environment have been changing.The evolutionary algorithms are commonly used as the planning algorithms of wireless parameter planning.But evolutionary algorithms often require a large number of iterations,which means that the algorithms require a lot of run time.In addition,evolutionary algorithms are also likely to fall into local convergence,resulting in local solution.Therefore,the design of the planning algorithm due to the features and requirements of wireless parameter planning is also a key component of the wireless parameter planning system.Aiming at the requirements of the above specific application scenarios,this paper designs a wireless communication network parameter planning system based on particle swarm optimization(PSO)algorithm.The main work of the thesis is as follows.1)This paper introduces the application background and specific objectives of the wireless network parameter planning system,establishes the realization goal,and analyzes the functional and performance requirements.On this basis,the overall structure is designed and the overall design of the parameter planning process is carried out;2)By designing the specific process of PSO algorithm and the calculation method of important parameters,the design of PSO algorithm suitable for this system is proposed,and the system simulation test and analysis are carried out to verify the effectiveness of the algorithm;3)The detailed design of the system's parameter planning process is carried out.The main functional modules of the system are designed and implemented in detail from the base station subsystem and network management subsystem of the system;4)The main function test and system test of the parameter planning system designed in this paper are carried out,and the test results are studied and analyzed;The system is tested on the R&D platform of Nanjing Broadband Wireless Mobile Communication R&D Center.The test results show that the wireless network parameter planning system based on PSO algorithm designed in this paper is dynamically adjustable and quick responsive,which meets specific application requirements,improves the speed and efficiency of the parameter planning system,and provides a new idea for the application of PSO algorithm in the field of wireless communication.It provides a concrete implementation reference for the implementation of the wireless parameter planning system in engineering and has high engineering application value.