JOURNAL ARTICLE

Joint Subchannel and Power Allocation for NOMA Enhanced D2D Communications

Jingjing ZhaoYuanwei LiuKok Keong ChaiYue ChenMaged Elkashlan

Year: 2017 Journal:   IEEE Transactions on Communications Vol: 65 (11)Pages: 5081-5094   Publisher: IEEE Communications Society

Abstract

In this paper, a novel non-orthogonal multiple access (NOMA) enhanced device-to-device (D2D) communication scheme is considered. Our objective is to maximize the system sum rate by optimizing subchannel and power allocation. We propose a novel solution that jointly assigns subchannels to D2D groups and allocates power to receivers in each D2D group. For the subchannel assignment, a novel algorithm based on the many-to-one two-sided matching theory is proposed for obtaining a suboptimal solution. Since the power allocation problem is non-convex, sequential convex programming is adopted to transform the original power allocation problem to a convex one. The power allocation vector is obtained by iteratively tightening the lower bound of the original power allocation problem until convergence. Numerical results illustrate that: 1) the proposed joint subchannel and power allocation algorithm are an effective approach for obtaining near-optimal performance with acceptable complexity and 2) the NOMA enhanced D2D communication scheme is capable of achieving promising gains in terms of network sum rate and the number of accessed users, compared to a traditional OMA-based D2D communication scheme.

Keywords:
Computer science Mathematical optimization Noma Power (physics) Convergence (economics) Convex optimization Scheme (mathematics) Telecommunications link Computer network Regular polygon Mathematics

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181
Cited By
11.10
FWCI (Field Weighted Citation Impact)
43
Refs
0.99
Citation Normalized Percentile
Is in top 1%
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Citation History

Topics

Advanced Wireless Communication Technologies
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Advanced MIMO Systems Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Optical Wireless Communication Technologies
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
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