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Download fileLow-complexity antenna selection and discrete phase-shifts design in IRS-assisted multiuser massive MIMO networks
journal contribution
posted on 2022-01-28, 11:21 authored by Zaid Abdullah, Gaojie Chen, Sangarapillai LambotharanSangarapillai Lambotharan, Jonathon ChambersWe propose two novel antenna selection (AS) and
discrete phase-shifts design (PSD) schemes for use in intelligent
reflecting surface (IRS) assisted multiuser massive multiple-input
multiple-output (mMIMO) networks. The first AS and PSD
method aims at maximizing the gain of the channels; while
the second method is an iterative sum-rate maximization (ISM)
scheme that aims at maximizing the total achievable rate. For
the AS part, we demonstrate that the ISM method achieves near
optimal performance with much lower complexity compared to
benchmark AS schemes, and can be utilized with any precoder at
the mMIMO base station. For the PSD, our proposed successive?refinement optimization methods are not only efficient, but
their complexities scale linearly with the number of elements
at the IRS, making them highly attractive when dealing with
large surfaces. A thorough complexity analysis for the proposed
methods is carried out in terms of the number of floating
point operations required for their implementations. Finally,
extensive numerical results are provided and some key points
are highlighted on the performance of the proposed schemes
with both conjugate beamforming and zero-forcing precoders.
Funding
Communications Signal Processing Based Solutions for Massive Machine-to-Machine Networks (M3NETs)
Engineering and Physical Sciences Research Council
Find out more...Communications Signal Processing Based Solutions for Massive Machine-to-Machine Networks (M3NETs)
Engineering and Physical Sciences Research Council
Find out more...History
School
- Mechanical, Electrical and Manufacturing Engineering
Published in
IEEE Transactions on Vehicular TechnologyVolume
71Issue
4Pages
3980 - 3994Publisher
Institute of Electrical and Electronics EngineersVersion
- AM (Accepted Manuscript)
Rights holder
© IEEEPublisher statement
Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.Acceptance date
2022-01-24Publication date
2022-02-01Copyright date
2021ISSN
0018-9545eISSN
1939-9359Publisher version
Language
- en