Robust Power Allocation in MIMO-NOMA Systems

Muhammad Fainan Hanif; Zhiguo Ding

doi:10.1109/LWC.2019.2926277

Robust Power Allocation in MIMO-NOMA Systems

Muhammad Fainan Hanif, Zhiguo Ding

Electrical Engineering

The University of Lahore

Research output: Contribution to journal › Article › peer-review

20 Scopus citations

Abstract

Generalized singular-value decomposition (GSVD) has been recognized as an enabler of multiple-input-multiple-output (MIMO) nonorthogonal multiple-access (NOMA) systems. The GSVD is leveraged to MIMO-NOMA with channel estimation errors. Channel uncertainty is uniquely incorporated in the variances of elements of error matrices in the signal-to-interference-plus-noise ratio (SINR) balancing problem, and tractable convex formulations are derived for different uncertainty models in this letter. The proposed design is numerically evaluated and its superiority over non-robust and orthogonal multiple access (OMA) systems is established.

Original language	British English
Article number	8752430
Pages (from-to)	1541-1545
Number of pages	5
Journal	IEEE Wireless Communications Letters
Volume	8
Issue number	6
DOIs	https://doi.org/10.1109/LWC.2019.2926277
State	Published - Dec 2019

Keywords

5G
connectivity
convex optimization
MIMO
Nonorthogonal multiple access

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10.1109/LWC.2019.2926277

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title = "Robust Power Allocation in MIMO-NOMA Systems",

abstract = "Generalized singular-value decomposition (GSVD) has been recognized as an enabler of multiple-input-multiple-output (MIMO) nonorthogonal multiple-access (NOMA) systems. The GSVD is leveraged to MIMO-NOMA with channel estimation errors. Channel uncertainty is uniquely incorporated in the variances of elements of error matrices in the signal-to-interference-plus-noise ratio (SINR) balancing problem, and tractable convex formulations are derived for different uncertainty models in this letter. The proposed design is numerically evaluated and its superiority over non-robust and orthogonal multiple access (OMA) systems is established.",

keywords = "5G, connectivity, convex optimization, MIMO, Nonorthogonal multiple access",

author = "Hanif, {Muhammad Fainan} and Zhiguo Ding",

note = "Funding Information: Manuscript received April 4, 2019; revised June 1, 2019; accepted June 28, 2019. Date of publication July 1, 2019; date of current version December 6, 2019. The work of Z. Ding was supported in part by the U.K. EPSRC under Grant EP/P009719/2, and in part by H2020-MSCA-RISE-2015 under Grant 690750. The associate editor coordinating the review of this paper and approving it for publication was H. T. Dinh. (Corresponding author: Muhammad Fainan Hanif.) M. F. Hanif is with the Electrical Engineering Department, University of Lahore, Lahore 55150, Pakistan (e-mail: [email protected]). Publisher Copyright: {\textcopyright} 2012 IEEE.",

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language = "British English",

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AU - Ding, Zhiguo

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N2 - Generalized singular-value decomposition (GSVD) has been recognized as an enabler of multiple-input-multiple-output (MIMO) nonorthogonal multiple-access (NOMA) systems. The GSVD is leveraged to MIMO-NOMA with channel estimation errors. Channel uncertainty is uniquely incorporated in the variances of elements of error matrices in the signal-to-interference-plus-noise ratio (SINR) balancing problem, and tractable convex formulations are derived for different uncertainty models in this letter. The proposed design is numerically evaluated and its superiority over non-robust and orthogonal multiple access (OMA) systems is established.

AB - Generalized singular-value decomposition (GSVD) has been recognized as an enabler of multiple-input-multiple-output (MIMO) nonorthogonal multiple-access (NOMA) systems. The GSVD is leveraged to MIMO-NOMA with channel estimation errors. Channel uncertainty is uniquely incorporated in the variances of elements of error matrices in the signal-to-interference-plus-noise ratio (SINR) balancing problem, and tractable convex formulations are derived for different uncertainty models in this letter. The proposed design is numerically evaluated and its superiority over non-robust and orthogonal multiple access (OMA) systems is established.

KW - 5G

KW - connectivity

KW - convex optimization

KW - MIMO

KW - Nonorthogonal multiple access

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Robust Power Allocation in MIMO-NOMA Systems

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Keywords

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