Home > Research > Publications & Outputs > Low Complexity Optimization of the Asymptotic S...

Electronic data

  • L. Hadley WCL July 2020 Accepted Manuscript

    Rights statement: ©2020 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

    Accepted author manuscript, 235 KB, PDF document

    Available under license: CC BY-NC: Creative Commons Attribution-NonCommercial 4.0 International License

Links

Text available via DOI:

View graph of relations

Low Complexity Optimization of the Asymptotic Spectral Efficiency in Massive MIMO NOMA

Research output: Contribution to journalJournal articlepeer-review

Published
<mark>Journal publication date</mark>1/11/2020
<mark>Journal</mark>IEEE Wireless Communications Letters
Issue number11
Volume9
Number of pages5
Pages (from-to)1928-1932
Publication StatusPublished
<mark>Original language</mark>English

Abstract

Massive multiple-input multiple-output (MIMO) technology facilitates huge increases in the capacity of wireless channels, while non-orthogonal multiple access (NOMA) addresses the problem of limited resources in traditional orthogonal multiple access (OMA) techniques, promising enhanced spectral efficiency. This work uses asymptotic capacity computation results to reduce the complexity of a power allocation algorithm for small-scale MIMO-NOMA, so that it may be applied for systems with massive MIMO arrays. The proposed method maximizes the sum-capacity of the considered system, subject to power and performance constraints, and demonstrates greater accuracy than alternative approaches despite remaining low-complexity for arbitrarily large antenna arrays.

Bibliographic note

©2020 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.