JOURNAL ARTICLE

Improving Secrecy Rate and Social Welfare by NOMA Technique in D2D Communications Network

Maryam AlibeigiAbbas TaherpourSaeed Gazor

Year: 2021 Journal:   IEEE Transactions on Green Communications and Networking Vol: 6 (2)Pages: 907-916   Publisher: Institute of Electrical and Electronics Engineers

Abstract

We investigate the advantage of employing the non-orthogonal multiple access (NOMA) in device-to-device (D2D) communications, where D2D pairs are clustered with content demanders. We show that the physical layer security of D2D users who require protection against eavesdropping is improved by employing this NOMA D2D scheme. Moreover, the additional demanders obtain their desired content by participating in a suitable cluster. Hence, we solve this win-win collaborative problem by maximizing the social welfare of the network through in order to optimize user clusters and to assign powers. This optimization turns out to be a mixed-integer non-convex problem. As remedy, we split the original problem into two subproblems. We solve the user clustering subproblem first by using two-sided one-to-one matching theory. Then using the user clustering results, we propose a suboptimal efficient algorithm to solve the power assignment subproblem, which is a non-convex polynomial fractional programming. Our extensive simulations confirm significant advantages our proposed approach.

Keywords:
Eavesdropping Computer science Cluster analysis Mathematical optimization Secrecy Scheme (mathematics) Matching (statistics) Computer network Mathematics Computer security Artificial intelligence

Metrics

7
Cited By
0.55
FWCI (Field Weighted Citation Impact)
50
Refs
0.68
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Wireless Communication Technologies
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Wireless Communication Security Techniques
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Cooperative Communication and Network Coding
Physical Sciences →  Computer Science →  Computer Networks and Communications
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