摘要
针对大规模MIMO网络下行链路中系统能效与频效的联合优化问题,从发射功率和发射天线数目两个因素考虑进行研究。为了使得满足网络中多项性能指标,将大规模MIMO网络下行链路的能效与频效构建成一个多目标优化问题,提出一种改进的快速非支配排序多目标优化遗传算法,在本文所设场景下对问题进行求解,得到了该问题的Pareto最优解集。最后将该方法与同类型的多目标进化算法进行对比分析。结果表明,所提方法能够有效的搜索到最优解集,满足不同情况下的通信需求。
In order to solve the conflict between system energy efficiency and spectral efficiency in the downlink of Massive MIMO network,the two factors of power allocation and the number of transmit antennas are studied.In order to meet the various performance requirements in the network,the energy efficiency and spectral efficiency of the downlink of Massive MIMO network are formulated into a multi-objective optimization problem.An improved fast non-dominated multi-objective optimization algorithm with elite reservation strategy is proposed.The problem is solved in the scenario set in this paper,and the Pareto optimal solution set of the problem is obtained.Finally,the method is compared with the same type of multi-objective evolutionary algorithm.The results show that the proposed method can effectively search for the optimal solution and meet the performance requirements in different situations.
作者
吴航
Wu Hang(School of Optical-Electrical and Computer Engineering,Shanghai 200093,China)
出处
《计算机时代》
2022年第8期15-19,25,共6页
Computer Era
关键词
大规模MIMO网络
多目标优化
多目标进化算法
下行链路
Massive MIMO network
multi-objective optimization
multi-objective evolutionary algorithm
downlink