Research On Wireless Network Power Control Based On Improved Genetic Algorithm

The CDMA system is one of the important communication technologies in modern communication systems.The channel can be occupied by all users at the same frequency and at the same time,and users can be distinguished by spreading codes.However,as the number of users increases,multiple access interference becomes more severe,limiting the user limits and performance of the CDMA system.Base station receivers can use multi-user detection algorithms to reduce multi-access interference and increase system capacity.Among them,serial interference cancellation(SIC)has received extensive attention due to its low implementation complexity and high system performance.Using this type of multi-user detection algorithm can effectively alleviate the multiple access interference problem faced by CDMA.At the same time,the system capacity can be effectively improved.However,under the situation of a large number of mobile users,different users will Under the situation that the actual demand for communication services is getting higher and higher,the system's demand for wireless resources has further increased,and there is still a contradiction between the limited system resources and the ever-increasing user demand.This paper focuses on the power control based on serial interference cancellation.The main work of this paper is summarized as follows:(1)Proposed serial interference cancellation based on co-evolutionary power control.Aiming at the diversified differences and premature convergence of standard genetic algorithms,an improved genetic algorithm is proposed.In the CDMA system,when multiple users access the wireless communication system at the same time,it will cause the communication demand of the entire system to increase instantaneously,and the channel resources possessed within the area cannot meet their demand,and the channel will be blocked.The communication efficiency is low,and even some users cannot access,causing the communication to be interrupted.Therefore,power control is performed on the premise of maximizing network throughput.Therefore,the introduction of co-evolutionary algorithm and genetic algorithm,combined with SIC technology.Co-evolutionary algorithm is conducive to enhancing the global search ability,adding an elite strategy to avoid the phenomenon of premature falling into a local optimum,and proposes an inequality constraint strategy,which greatly improves the probability of finding a feasible solution.(2)On the basis of the proposed power control model based on SINR,combined with SIC technology,the improved NSGA-? algorithm is introduced,and a new multi-objective power control model based on SIC algorithm is established.Based on the original objective function,a new objective function is introduced: system transmit power.The objective function is expanded from the original one to two problems for further study.On the basis of reading the relevant literature,the NSGA-II algorithm,which is effective in solving multi-objective problems,is used to solve the problem.In this algorithm,this article first analyzes the limitations of the NSGA-II algorithm,and then improves it.By introducing threshold selection strategies,improved adaptive mutation methods,and adaptive crossover operators during genetic evolution,sets of Pareto optimal solutions can be obtained quickly and accurately.Through experiments,the effectiveness of the improved NSGA-II algorithm will be verified.