Ergodic Sum Rate Expressions for Uplink MIMO-NOMA Under Spatial Correlation and Imperfect Channel Estimation

被引：0

作者：

Al-Ali, Mohannad H. ^{[1
]}

Al-Hussaibi, Walid A. ^{[2
]}

机构：

[1] Univ Basrah, Comp Engn Dept, Basrah 61004, Iraq

[2] Southern Tech Univ, Basrah Tech Coll, Dept Elect Tech, Basrah 42001, Iraq

来源：

IEEE SYSTEMS JOURNAL | 2023年 / 17卷 / 04期

关键词：

Ergodic sum rate (ESR); imperfect channel state information (CSI); lower bound; spatial correlation; uplink multiple-input multiple-output nonorthogonal multiple access (MIMO-NOMA); MULTIPLE-ACCESS CHANNELS; POWER ALLOCATION; RATE MAXIMIZATION; CAPACITY BOUNDS; SYSTEMS; JOINT; NETWORKS; OMA;

D O I：

10.1109/JSYST.2023.3317307

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This article conducts an analytical study for the ergodic sum rate (ESR) of uplink multiple-input multiple-output nonorthogonal multiple access (MIMO-NOMA) networks under spatially correlated channels and imperfect channel state information (CSI) at the base station. We provide closed-form lower bounds for the ESR when MIMO channels have no correlation or exhibit correlation at the receive side, transmit side, and both sides. These bounds are attained by representing the determinant function by simple polynomial expansions. They are appropriate for a general setup of the MIMO-NOMA network and do not constrain the number of antennas or uplink users to be unbounded. Moreover, we give simplified ESR formulas for the investigated correlation scenarios in the high signal-to-noise ratio (SNR) regime. Numerical results corroborate accuracy of the derived expressions over different antenna configurations, number of users, channel conditions, and SNRs. The new ESR equations extend the state-of-the-art and enable an elegant and efficient performance evaluation of MIMO-NOMA for next-generation systems.

引用

页码：5499 / 5510

页数：12

共 49 条

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