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  • L. Hadley WCL July 2020 Accepted Manuscript

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

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Low Complexity Optimization of the Asymptotic Spectral Efficiency in Massive MIMO NOMA. / Hadley, Lucinda; Chatzigeorgiou, Ioannis.

In: IEEE Wireless Communications Letters, Vol. 9, No. 11, 01.11.2020, p. 1928-1932.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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Hadley, Lucinda ; Chatzigeorgiou, Ioannis. / Low Complexity Optimization of the Asymptotic Spectral Efficiency in Massive MIMO NOMA. In: IEEE Wireless Communications Letters. 2020 ; Vol. 9, No. 11. pp. 1928-1932.

Bibtex

@article{4c87097472e942a28b809de60494f1f4,
title = "Low Complexity Optimization of the Asymptotic Spectral Efficiency in Massive MIMO NOMA",
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.",
keywords = "NOMA, MIMO communication, Massive MIMO, Random matrix theory, Optimization algorithms, power allocation, eigenvalue distribution, Complexity analysis",
author = "Lucinda Hadley and Ioannis Chatzigeorgiou",
note = "{\textcopyright}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. ",
year = "2020",
month = nov,
day = "1",
doi = "10.1109/LWC.2020.3008666",
language = "English",
volume = "9",
pages = "1928--1932",
journal = "IEEE Wireless Communications Letters",
issn = "2162-2337",
publisher = "IEEE Communications Society",
number = "11",

}

RIS

TY - JOUR

T1 - Low Complexity Optimization of the Asymptotic Spectral Efficiency in Massive MIMO NOMA

AU - Hadley, Lucinda

AU - Chatzigeorgiou, Ioannis

N1 - ©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.

PY - 2020/11/1

Y1 - 2020/11/1

N2 - 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.

AB - 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.

KW - NOMA

KW - MIMO communication

KW - Massive MIMO

KW - Random matrix theory

KW - Optimization algorithms

KW - power allocation

KW - eigenvalue distribution

KW - Complexity analysis

U2 - 10.1109/LWC.2020.3008666

DO - 10.1109/LWC.2020.3008666

M3 - Journal article

VL - 9

SP - 1928

EP - 1932

JO - IEEE Wireless Communications Letters

JF - IEEE Wireless Communications Letters

SN - 2162-2337

IS - 11

ER -