JOURNAL ARTICLE

Resource Allocation for Energy Harvesting-Powered D2D Communications Underlaying NOMA-Based Networks

Bo ChenJuan LiuXinjie YangLingfu XieYouming Li

Year: 2019 Journal:   IEEE Access Vol: 7 Pages: 61442-61451   Publisher: Institute of Electrical and Electronics Engineers

Abstract

This paper investigates the resource allocation problem in device-to-device (D2D) communications underlaying a non-orthogonal multiple access (NOMA)-based cellular network with energy harvesting, where the energy harvesting-powered D2D communications share the downlink resources of the cellular network. To fully exploit the high-data-rate D2D links in this system, a two-phase framework is proposed for D2D users. In particular, the D2D users harvest energy from the base station (BS) in the first phase and then transmit their own information using the harvested energy in the second one. Meanwhile, the D2D communications could cause severe interference to cellular users (CUs) and hence probably ruin the SIC decoding order of the CUs. To deal with this issue, joint power allocation and time scheduling scheme is proposed to maximize the throughput of the D2D links while guaranteeing the quality of service (QoS) for each CU. Through rigorous derivation, the optimal power control and time scheduling parameters are analyzed to simplify the optimization problem formulation. The closed-form optimal solution is derived in some cases. In other cases, a gradient-based algorithm is employed to find an appropriate sub-optimal solution. The simulation results are demonstrated to validate the superiority of the proposed scheme over the conventional orthogonal multiple access (OMA) scheme.

Keywords:
Computer science Telecommunications link Cellular network Quality of service Base station Scheduling (production processes) Energy harvesting Computer network Resource allocation Noma Power control Transmitter power output Throughput Mathematical optimization Energy (signal processing) Power (physics) Wireless Transmitter Telecommunications Mathematics

Metrics

13
Cited By
1.25
FWCI (Field Weighted Citation Impact)
23
Refs
0.81
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
Energy Harvesting in Wireless Networks
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Advanced MIMO Systems Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
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