低精度ADC大规模MIMO系统的能效联合优化算法  

Energy efficiency joint optimization algorithm for low-precision ADC massive MIMO systems

作　　者：曹海燕[1] 胡文娟 智应娟 许方敏[1] 方昕[1] CAO Haiyan;HU Wenjuan;ZHI Yingjuan;XU Fangmin;FANG Xin(Hangzhou Dianzi University,Hangzhou 310018,China)

机构地区：[1]杭州电子科技大学,浙江杭州310018

出　　处：《电信科学》2020年第6期90-96,共7页Telecommunications Science

基　　金：国家自然科学基金资助项目(No.61501158,No.61379027);浙江省教育厅科学基金资助项目(No.LY14F010019,No.LQ15F01004)。

摘　　要：针对配置低精度模数转换器(ADC)的大规模多输入多输出(MIMO)系统,提出一种基于交替优化算法的上行链路能效优化算法。即在基于最大比合并(MRC)接收的基础上,建立以能效最大化为目标的优化模型,再根据分数规划的性质,把原始的分式形式最优化问题转换成等价的减式形式,在量化比特数一定的情况下,对发射功率和导频长度进行交替迭代优化。仿真结果表明,所提算法有较好的频谱效率与能量效率。An uplink energy efficiency optimization algorithm based on alternating optimization algorithm was proposed for large-scale multiple-input multiple-output(MIMO)systems with low-precision analog to digital converters(ADC).That is,based on the maximum ratio combining(MRC)reception,an optimization model aiming at maximizing energy efficiency was established,and then the original fractional form optimization problem was converted into an equivalent subtractive form according to the nature of the fractional programming.In the case where the number of quantization bits was constant,the iterative optimization of the transmission power and the pilot length were performed.Simulation results show that the proposed algorithm has better spectral efficiency and energy efficiency.

关 键 词：大规模MIMO 模数转换器 交替优化 能效 

分 类 号：TN929.53[电子电信—通信与信息系统]