Title
Sum Rate Maximization for IRS-Assisted Uplink NOMA
Abstract
An intelligent reflecting surface (IRS) consists of a large number of low-cost reflecting elements, which can steer the incident signal collaboratively by passive beamforming. This way, IRS reconfigures the wireless environment to boost the system performance. In this letter, we consider an IRS-assisted uplink non-orthogonal multiple access (NOMA) system. The objective is to maximize the sum rate of all users under individual power constraint. The considered problem requires a joint power control at the users and beamforming design at the IRS, and is non-convex. To handle it, semidefinite relaxation is employed, which provides a near-optimal solution. Presented numerical results show that the proposed NOMA-based scheme achieves a larger sum rate than orthogonal multiple access (OMA)-based one. Moreover, the impact of the number of reflecting elements on the sum rate is revealed.
Year
DOI
Venue
2021
10.1109/LCOMM.2020.3025978
IEEE Communications Letters
Keywords
DocType
Volume
Intelligent reflecting surface (IRS),non-orthogonal multiple access (NOMA),sum rate,uplink
Journal
25
Issue
ISSN
Citations 
1
1089-7798
23
PageRank 
References 
Authors
0.67
0
5
Name
Order
Citations
PageRank
Zeng M.1230.67
Xingwang Li2285.86
Li G.3231.01
Wanming Hao417722.63
Dobre O. A.5230.67