基于粒子群的CDMA功率和速率联合控制算法

Joint power and rate control algorithm in wireless CDMA networks based on particle swarm optimization

提出了基于效用函数的CDMA网络下行链路的功率和速率联合控制最优化算法.在这类算法中,效用函数为非凸函数,经典的最优化理论很难解决这类问题.将粒子群优化方法应用于算法的非凸性设计,并通过仿真算例证明了该算法能有效解决非凸优化问题,且可保证系统的公平性.

This paper presents an optimization algorithm of a joint power and rate control in the downlink wireless code-division multiple access （CDMA） networks based on the network utility maximization framework. In the wireless context, the utility functions are non-concave, which makes the problem difficult to be solved by using the classical optimization theory. Particle swarm optimization（PSO） is applied to nonconvex design of the algorithm. Simulations show that the proposed algorithm can solve the noneonvex optimization problems efficiently and guarantee the fairness of the system.