Resource Allocation Algorithm Based on PSO-GA for Multi-User OFDM System

被引:0
作者
HaoYe Zhang [1 ]
JinPing Mei [2 ]
ShiBing Zhang [2 ]
机构
[1] Nantong Branch, China Mobile Group Jiangsu Company Limited
[2] School of Electronics and Information, Nantong University
关键词
Bit allocation; orthogonal frequency division multiplexing; particle swarm optimization algorithm with genetic algorithm; sub-carri;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In order to minimize the transmitted power in the multi-user orthogonal frequency division multiplexing(OFDM) system, a scheme combining the improved particle swarm optimization(POS) algorithm with genetic algorithm(GA) is proposed to optimize the sub-carriers and bits allocation. In the algorithm, a random velocity between the maximum and minimum particle velocity is used as the updating velocity instead of maximum or minimum velocity when the updated particle velocity is higher than the maximum particle velocity or lower than the minimum particle velocity. Then, the convergence population is used as the initial population of the genetic algorithm to optimize the subcarriers and bits allocation further. Simulation results show that the transmitted power of the proposed algorithm is about 2 d B to 10 d B lower than that of the genetic algorithm, particle swarm optimization algorithm, and Zhang’s algorithm.
引用
收藏
页码:68 / 72
页数:5
相关论文
共 2 条
[1]   基于遗传算法的多用户OFDM系统资源分配 [J].
王永学 ;
陈芳炯 ;
韦岗 .
华南理工大学学报(自然科学版), 2005, (11) :61-65
[2]   粒子群优化算法综述 [J].
杨维 ;
李歧强 .
中国工程科学, 2004, (05) :87-94