机构地区: 华南理工大学电子与信息学院
出 处: 《华南理工大学学报(自然科学版)》 2005年第11期61-65,共5页
摘 要: 针对多用户正交频分复用(OFDM)系统,提出利用遗传算法搜索使系统发射功率最小的子载波和比特分配,并通过在遗传算法的初始群体中加入具有优秀基因的个体,使遗传算法快速收敛,从而降低了算法复杂度.仿真结果表明,与静态子载波分配算法(时分复用和频分复用)相比,所提出的算法有较大的增益(5~15dB),且优于其他动态分配算法(1~2dB). A genetic algorithm-based algorithm is proposed for multiuser OFDM (Orthogonal Frequency Division Multiplexing) system to acquire the subcarrier and bit allocation that needs the least transmitting power. By adding some good-gene individuals to the initial population, the convergence speed of the genetic algorithm is greatly improved and the complexity of the algorithm is decreased. Simulated results show that, compared with static subcarrier allocation schemes, namely, TDMA ( Time Division Multiplexing Access) and FDMA ( Frequency Division Multiplexing Access) , the proposed algorithm is of a considerable plus of 5 ~ 15 dB, which is greater than that obtained by any other dynamic allocation algorithms ( 1 ~ 2 dB).