【摘要】 为了最小化多用户OFDM系统的发射功率,提出利用文化算法搜索最优的子载波和比特分配方案。在传统的进化算法基础上引入了指导搜索的信仰空间,使搜索效率更高,同时使得优化目标与优化变量都比较容易数值定量化。对文化算法与遗传算法、多用户自适应OFDM算法进行仿真比较,结果表明:文化算法在迭代次数上小于遗传算法,收敛性显著提高,以牺牲少量系统吞吐量为代价使得运行时间大大缩短。更多还原

【Abstract】 To minimize the transmitting power in multiuser Orthogonal Frequency Division Multiplexing (OFDM) system, a program using Cultural Algorithm (CA) to search the subcarriers and bit allocation was proposed. Based on the traditional evolutionary algorithm, a belief space was introduced to guide the search. Thus, the search is more efficient; meanwhile, relatively the optimizing objectives and numerical variables are easily quantified. In comparison of the CA with Genetic Algorithm (GA) and Multiuser Adaptive OFDMK Algorithm (MAOA), simulation results show that CA enjoys less iteration time than GA; meanwhile, the convergence is greatly accelerated. At the expense of a small amount of system throughput, CA can significantly improve the run-time.更多还原