Resource allocation for sum-rate maximization in NOMA-based generalized spatial modulation  

作　　者：Guoquan Li Zijie Hong Yu Pang Yongjun Xu Zhengwen Huang 

机构地区：[1]School of Communication and Information Engineering,Chongqing University of Posts and Telecommunications,Chongqing,400065,China [2]Chongqing Key Laboratory of Photoelectronic Information Sensing and Transmitting Technology,Chongqing,400065,China [3]Department of Electronic and Electrical Engineering,Brunel University London,London,UB8-3PH,UK

出　　处：《Digital Communications and Networks》2022年第6期1077-1084,共8页数字通信与网络（英文版）

基　　金：supported by the National Key Research and Development Program of China(Grant No.2019YFC1511300);the National Natural Science Foundation of China(Grant No.U21A20447 and 61971079);the Basic Research and Frontier Exploration Project of Chongqing (Grant No.cstc2019jcyj-msxmX0666);the Innovative Group Project of the National Natural Science Foundation of Chongqing (Grant No.cstc2020jcyj-cxttX0002);the Regional Creative Cooperation Program of Sichuan (2020YFQ0025).

摘　　要：The Multiple-Input Multiple-Output(MIMO)Non-Orthogonal Multiple Access(NOMA)based on Spatial Modulation(SM-MIMO-NOMA)system has been proposed to achieve better spectral efficiency with reduced radio frequency chains comparing to the traditional MIMO-NOMA system.To improve the performance of SM-MIMO-NOMA systems,we extend them to generalized spatial modulation scenarios while maintaining moderate complexity and fairness.In this paper,system spectral efficiency and transmission quality improvements are proposed by investigating a sum-rate maximization resource allocation problem that is subject to the total transmitted power,user grouping,and resource block constraints.To solve this non-convex and difficult problem,a graph-based user grouping strategy is proposed initially to maximize the mutual gains of intragroup users.An auxiliary-variable approach is then adopted to transform the power allocation subproblem into a convex one.Simulation results demonstrate that the proposed algorithm has better performance in terms of bit error rate and sum rates.

关 键 词：Resource allocati on NOMA Spatial modulati on Power allocation User grouping 

分 类 号：TN92[电子电信—通信与信息系统]