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作 者:滕志军 谢露莹 咸悦 徐忠民[1] 楚玉刚 Teng Zhijun;Xie Luying;Xian Yue;Xu Zhongmin;Chu Yugang(Information Engineering College, Northeast Dianli University, Jilin 132012, China;School of Electrical and Information Engineering, JiLin Agricultural Science and Technology University, Jilin 132101 ,China;State Grid Jixi Eletric Power Supply Company, Jixi 158100, China)
机构地区:[1]东北电力大学信息工程学院,吉林吉林132012 [2]吉林农业科技学院电气与信息工程学院,吉林吉林132101 [3]国网鸡西电力供电公司,黑龙江鸡西158100
出 处:《湖南科技大学学报(自然科学版)》2018年第1期57-62,共6页Journal of Hunan University of Science And Technology:Natural Science Edition
基 金:国家自然科学基金资助项目(51277023)
摘 要:针对多用户OFDM系统资源分配算法复杂度高且误码性能不理想等问题,提出了在考虑用户速率情况下保证发射功率最小的子载波和比特分配方案,并通过引入遗传算法使系统通过解的编码、初始群体的生成、构建适应度函数、生成种群、遗传策略、变异规则等过程的改进,得到系统优化问题的全局最优解,同时也使算法复杂度降低.仿真结果表明,在信噪比相同的情况下,该方案可以进一步减小系统的误码率.To solve the problem that the resource allocation algorithm for multi-user OFDM systems had high complexity and the coding performance was not ideal,the allocation method for subcarriers and bits which guarantees the minimal transmit power was proposed considering the user rate. By introducing genetic algorithm,the global optimization of system optimization problem was obtained by improving the system process of coding,generation of initial population,constructing fitness function,generating population,genetic strategy,mutation rules,etc. In the meantime,the complexity of the algorithm was reduced. Simulation results show that the improved method reduce more bit error rate of the system than the original algorithm under the same signal-noise ratio.
分 类 号:TN919[电子电信—通信与信息系统]
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