Secrecy sum rate maximization for a MIMO-NOMA uplink transmission in 6G networks

Yunus Dursun; Kaidi Wang; Zhiguo Ding

doi:10.1016/j.phycom.2022.101675

Secrecy sum rate maximization for a MIMO-NOMA uplink transmission in 6G networks

Yunus Dursun, Kaidi Wang, Zhiguo Ding

Electrical Engineering

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

24 Scopus citations

Abstract

Non-orthogonal multiple access (NOMA), as a well-qualified candidate for sixth-generation (6G) mobile networks, has been attracting remarkable research interests due to high spectral efficiency and massive connectivity. The aim of this study is to maximize the secrecy sum rate (SSR) for a multiple-input multiple-output (MIMO)-NOMA uplink network under the maximum total transmit power and quality of service (QoS) constraints. Thanks to the generalized singular value decomposition method, the SSR of NOMA is compared with conventional orthogonal multiple access and other baseline algorithms in different MIMO scenarios. Due to the subtractive and non-convex nature of the SSR problem, the first-order Taylor approximation is exploited to transform the original problem into a suboptimal concave problem. Simulation results are provided and compared with some other benchmarks to evaluate the efficacy of the proposed method.

Original language	British English
Article number	101675
Journal	Physical Communication
Volume	53
DOIs	https://doi.org/10.1016/j.phycom.2022.101675
State	Published - Aug 2022

Keywords

Multiple input multiple output (MIMO)
Non-orthogonal multiple access (NOMA)
Physical layer security (PLS)
Sixth generation radio access networks (6G-RAN)

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10.1016/j.phycom.2022.101675

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title = "Secrecy sum rate maximization for a MIMO-NOMA uplink transmission in 6G networks",

abstract = "Non-orthogonal multiple access (NOMA), as a well-qualified candidate for sixth-generation (6G) mobile networks, has been attracting remarkable research interests due to high spectral efficiency and massive connectivity. The aim of this study is to maximize the secrecy sum rate (SSR) for a multiple-input multiple-output (MIMO)-NOMA uplink network under the maximum total transmit power and quality of service (QoS) constraints. Thanks to the generalized singular value decomposition method, the SSR of NOMA is compared with conventional orthogonal multiple access and other baseline algorithms in different MIMO scenarios. Due to the subtractive and non-convex nature of the SSR problem, the first-order Taylor approximation is exploited to transform the original problem into a suboptimal concave problem. Simulation results are provided and compared with some other benchmarks to evaluate the efficacy of the proposed method.",

keywords = "Multiple input multiple output (MIMO), Non-orthogonal multiple access (NOMA), Physical layer security (PLS), Sixth generation radio access networks (6G-RAN)",

author = "Yunus Dursun and Kaidi Wang and Zhiguo Ding",

note = "Funding Information: The authors would like to thank the editor-in-chief and the anonymous referees for their useful comments and suggestions. This work was supported by Republic of Turkey Ministry of National Education . Publisher Copyright: {\textcopyright} 2022 Elsevier B.V.",

year = "2022",

month = aug,

doi = "10.1016/j.phycom.2022.101675",

language = "British English",

volume = "53",

journal = "Physical Communication",

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T1 - Secrecy sum rate maximization for a MIMO-NOMA uplink transmission in 6G networks

AU - Dursun, Yunus

AU - Wang, Kaidi

AU - Ding, Zhiguo

N1 - Funding Information: The authors would like to thank the editor-in-chief and the anonymous referees for their useful comments and suggestions. This work was supported by Republic of Turkey Ministry of National Education . Publisher Copyright: © 2022 Elsevier B.V.

PY - 2022/8

Y1 - 2022/8

N2 - Non-orthogonal multiple access (NOMA), as a well-qualified candidate for sixth-generation (6G) mobile networks, has been attracting remarkable research interests due to high spectral efficiency and massive connectivity. The aim of this study is to maximize the secrecy sum rate (SSR) for a multiple-input multiple-output (MIMO)-NOMA uplink network under the maximum total transmit power and quality of service (QoS) constraints. Thanks to the generalized singular value decomposition method, the SSR of NOMA is compared with conventional orthogonal multiple access and other baseline algorithms in different MIMO scenarios. Due to the subtractive and non-convex nature of the SSR problem, the first-order Taylor approximation is exploited to transform the original problem into a suboptimal concave problem. Simulation results are provided and compared with some other benchmarks to evaluate the efficacy of the proposed method.

AB - Non-orthogonal multiple access (NOMA), as a well-qualified candidate for sixth-generation (6G) mobile networks, has been attracting remarkable research interests due to high spectral efficiency and massive connectivity. The aim of this study is to maximize the secrecy sum rate (SSR) for a multiple-input multiple-output (MIMO)-NOMA uplink network under the maximum total transmit power and quality of service (QoS) constraints. Thanks to the generalized singular value decomposition method, the SSR of NOMA is compared with conventional orthogonal multiple access and other baseline algorithms in different MIMO scenarios. Due to the subtractive and non-convex nature of the SSR problem, the first-order Taylor approximation is exploited to transform the original problem into a suboptimal concave problem. Simulation results are provided and compared with some other benchmarks to evaluate the efficacy of the proposed method.

KW - Multiple input multiple output (MIMO)

KW - Non-orthogonal multiple access (NOMA)

KW - Physical layer security (PLS)

KW - Sixth generation radio access networks (6G-RAN)

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DO - 10.1016/j.phycom.2022.101675

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SN - 1874-4907

VL - 53

JO - Physical Communication

JF - Physical Communication

M1 - 101675

ER -

Secrecy sum rate maximization for a MIMO-NOMA uplink transmission in 6G networks

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Keywords

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