Low-Resolution RIS-Aided Multiuser MIMO Signaling

A multi-antenna aided base station (BS) supporting several multi-antenna downlink users with the aid of a reconfigurable intelligent surface (RIS) of programmable reflecting elements (PREs) is considered. Low-resolution PREs constrained by a set of sparse discrete values are used for reasons of cost...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on communications Vol. 70; no. 10; pp. 6517 - 6531
Main Authors: Nasir, A. A., Tuan, H. D., Dutkiewicz, E., Poor, H. V., Hanzo, L.
Format: Journal Article
Language:English
Published: New York IEEE 01.10.2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Algorithms
Antennas
Beamforming
Complexity
Continuity (mathematics)
coordinated signaling (CoSig)
Downlink
geometric mean maximization
Interference
low-complex algorithms
MIMO beamforming
MIMO communication
MISO communication
NOMA
non-orthogonal multiple access (NOMA)
Nonorthogonal multiple access
Optimization
Reconfigurable intelligent surface
Signaling
Throughput
trigonometric function optimization
ISSN:0090-6778, 1558-0857
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:A multi-antenna aided base station (BS) supporting several multi-antenna downlink users with the aid of a reconfigurable intelligent surface (RIS) of programmable reflecting elements (PREs) is considered. Low-resolution PREs constrained by a set of sparse discrete values are used for reasons of cost-efficiency. Our challenging objective is to jointly design the beamformers at the BS and the RIS's PREs for improving the throughput of all users by maximizing their geometric-mean, under a variety of different access schemes. This constitutes a computationally challenging problem of mixed continuous-discrete optimization, because each user's throughput is a complicated function of both the continuous-valued beamformer weights and of the discrete-valued PREs. We develop low-complexity algorithms, which iterate by directly evaluating low-complexity closed-form expressions. Our simulation results show the advantages of non-orthogonal multiple access-aided signaling, which allows the users to decode a part of the multi-user interference for enhancing their throughput.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0090-6778
1558-0857
DOI:10.1109/TCOMM.2022.3196061