Robust Power Allocation in MIMO-NOMA Systems

被引：15
|
作者：
Hanif, Muhammad Fainan [1 ]
Ding, Zhiguo [2 ]
机构：
[1] Univ Lahore, Elect Engn Dept, Lahore 55150, Pakistan
[2] Univ Manchester, Sch Elect & Elect Engn, Manchester M13 9PL, Lancs, England
来源：
IEEE WIRELESS COMMUNICATIONS LETTERS | 2019年 / 8卷 / 06期
基金：
欧盟地平线“2020”; 英国工程与自然科学研究理事会;
关键词：
Nonorthogonal multiple access; convex optimization; MIMO; connectivity; 5G; NONORTHOGONAL MULTIPLE-ACCESS;
D O I：
10.1109/LWC.2019.2926277
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Generalized singular-value decomposition (GSVD) has been recognized as an enabler of multiple-input multiple-output (MIMO) nonorthogonal multiple-access (NOMA) systems. The GSVD is leveraged to MIMO-NOMA with channel estimation errors. Channel uncertainty is uniquely incorporated in the variances of elements of error matrices in the signal-to-interference-plus-noise ratio (SINR) balancing problem, and tractable convex formulations are derived for different uncertainty models in this letter. The proposed design is numerically evaluated and its superiority over non-robust and orthogonal multiple access (OMA) systems is established.
引用
收藏
页码：1541 / 1545
页数：5
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