Dual-Polarized IRSs in Uplink MIMO-NOMA Networks: An Interference Mitigation Approach

被引：7

作者：

de Sena, Arthur S. ^{[1
]}

Nardelli, Pedro H. J. ^{[1
]}

da Costa, Daniel B. ^{[2
,3
]}

Dias, Ugo S. ^{[4
]}

Popovski, Petar ^{[5
]}

Papadias, Constantinos B. ^{[6
]}

机构：

[1] Lappeenranta Lahti Univ Technol, Dept Elect Engn, Lappeenranta 53850, Finland

[2] Natl Yunlin Univ Sci & Technol, Future Technol Res Ctr, Touliu 64002, Taiwan

[3] Univ Fed Ceara, Dept Comp Engn, BR-62010560 Sobral, Brazil

[4] Univ Brasilia, Dept Elect Engn, BR-70910900 Brasilia, DF, Brazil

[5] Aalborg Univ, Dept Elect Syst, DK-9220 Aalborg, Denmark

[6] Amer Coll Greece, ALBA, Res Technol & Innovat Network, Athens 15342, Greece

来源：

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

基金：

芬兰科学院;

关键词：

Manganese; NOMA; Uplink; MIMO communication; Silicon carbide; Transforms; Resource management; IRS; multi-polarization; MIMO;

D O I：

10.1109/LWC.2021.3099867

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 work, intelligent reflecting surfaces (IRSs) are optimized to manipulate signal polarization and improve the uplink performance of a dual-polarized multiple-input multiple-output (MIMO) non-orthogonal multiple access (NOMA) network. By multiplexing subsets of users in the polarization domain, we propose a strategy for reducing the interference load observed in the successive interference cancelation (SIC) process. To this end, dual-polarized IRSs are programmed to mitigate interference impinging at the base station (BS) in unsigned polarizations, in which the optimal set of reflecting coefficients are obtained via conditional gradient method. We also develop an adaptive power allocation strategy to guarantee rate fairness within each subset, in which the optimal power coefficients are obtained via a low-complexity alternate approach. Our results show that all users can reach high data rates with the proposed scheme, substantially outperforming conventional systems.

引用

页码：2284 / 2288

页数：5

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