基于群智能方法的移动通信网络功率控制方法研究

摘要

功率控制技术作为移动通信网络优化的关键技术之一,其性能的好坏将直接影响移动通信网络的优化效果.通过对功率控制原理的研究,从联合功率控制与速率控制的角度出发提出了功率控制简化模型.而Grad-PSO算法是一种典型的群智能算法,已被广泛应用于工程优化问题之中.通过算法在函数优化过程中的仿真实验,验证了其在收敛速度、运算精度和运算量等方面具有优势.主要采用Grad-PSO算法对功率控制模型进行了优化仿真实验,通过仿真实验发现:Grad-PSO算法能找到最优解,很好地实现了对功率控制模型的优化.结果表明基于Grad-PSO算法功率控制优化方法切实可行,是一种有效的优化移动通信网络技术的方法.%As one of the key technologies of mobile communication network optimization,power control will directly affect the optimization result of the mobile communication network.Based on the study of power control principle,a simplified model is proposed from the viewpoint of power control and rate control.The Grad-PSO algorithm is a typical swarm intelligence algorithm,and it has been widely used in engineering optimization.Through function optimization simulation,the algorithm shows advantages of high convergence speed,accuracy and computational arithmetic.The algorithm is used to optimize the power control model.Simulation results show that there is an optimal solution and the optimization of power control model is well realized.The results show that the method is feasible and effective.