摘要
文中探讨了大规模MIMO非正交多址(NOMA)网络中的用户配对问题。在上行链路,基站根据大尺度衰落系数来完成用户配对,配对的两个用户共享同一个导频,在下行链路,配对的两个用户采用NOMA的形式发送数据。由于用户配对固有地与功率分配交织,故根据用户的服务质量(QoS)要求,优化边缘用户(EU)和中心用户(CU)之间的用户配对和功率分配,旨在最大化系统的吞吐量,这是混合整数规划问题。为了解决这个非凸问题,首先利用交替优化的方法获得最优功率分配矩阵,进而计算出速率矩阵;然后基于匈牙利算法提出最佳用户匹配方案,且考虑到匈牙利算法用户之间的竞争问题,提出一种低复杂度的用户配对算法。仿真结果表明,在大规模MIMO NOMA系统中,提出的用户配对的NOMA的性能明显优于正交多址(OMA),并优于采用随机用户配对的NOMA的性能。
A user pairing problem in the massive MIMO non-orthogonal multiple access(NOMA)network is discussed.The base station performs user pairing according to the large-scale fading coefficient.The two users paired in the uplink share the same pilot,and the two users in the same group send data in the form of NOMA in the downlink.The purpose of optimizing user pairing and power allocation between the edge user(EU)and the central user(CU)is to maximize system throughput.To solve this problem,the optimal power allocation matrix is obtained by the alternating optimization method,and then the rate matrix is calculated.Then,the best user matching scheme is proposed based on Hungarian algorithm.Considering the competition among users in the Hungarian algorithm,a low complexity user pairing algorithm is proposed.Simulation results show that in the massive MIMO NOMA system,the user pairing scheme has better performance in the NOMA system than the orthogonal multiple access(OMA)system and random user pairing in the NOMA system.
作者
张伟
傅友华
ZHANG Wei;FU Youhua(College of Electronic and Optical Engineering&College of Microelectronics,Nanjing University of Posts and Telecommunications,Nanjing 210023,China;National and Local Joint Engineering Laboratory of Radio Frequency Integration and Microassembly Technology,Nanjing University of Posts and Telecommunications,Nanjing 210023,China)
出处
《南京邮电大学学报（自然科学版）》
北大核心
2020年第2期72-80,共9页
Journal of Nanjing University of Posts and Telecommunications：Natural Science Edition
基金
国家自然科学基金(61771257)资助项目。
