Sum Rate Maximization of Massive MIMO NOMA in LEO Satellite Communication System

被引：52

作者：

Gao, Zhixiang ^{[1
]}

Liu, Aijun ^{[1
]}

Han, Chen ^{[1
]}

Liang, Xiaohu ^{[1
,2
]}

机构：

[1] Army Engn Univ PLA, Coll Commun Engn, Nanjing 210000, Peoples R China

[2] Southeast Univ, Sch Informat Sci & Engn, Nanjing 210096, Peoples R China

来源：

IEEE WIRELESS COMMUNICATIONS LETTERS | 2021年 / 10卷 / 08期

基金：

中国博士后科学基金; 中国国家自然科学基金;

关键词：

Manganese; NOMA; Precoding; Satellites; Low earth orbit satellites; Optimization; Silicon carbide; mMIMO; convex optimization; LEO satellite communication system; NONORTHOGONAL MULTIPLE-ACCESS; NETWORKS;

D O I：

10.1109/LWC.2021.3076579

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this letter, we consider non-orthogonal multiple access (NOMA) applying into massive multiple input multiple output (mMIMO) low earth orbit (LEO) satellite communication system (SCS) to improve spectral efficiency. Specifically, we investigate sum rate maximization problem with transmit power, quality of service (QoS) constraints, imperfect successive interference cancelation (SIC) and imperfect channel state information (CSI) considered. We decouple the original problem into two parts: precoding vectors design and transmit power optimization. Precoding vectors are derived for maximizing the average signal power in each beam and eliminating inter-beam interference (IBI). Then, transmit power optimization problem is transformed into a convex optimization problem by utilizing the first order Taylor expansion, an iterative algorithm is proposed to get the optimal sum rate. Finally, simulation results verify the convergence of the proposed algorithm and our proposed mMIMO NOMA approach is better than other approaches.

引用

页码：1667 / 1671

页数：5

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