JOURNAL ARTICLE

NOMA-Based Energy-Efficient Wireless Powered Communications in 5G Systems

Abstract

In this paper, we study the performance of non-orthogonal multiple access (NOMA) scheme in wireless-powered communication networks (WPCN) focusing on the system energy efficiency. We consider multiple energy-harvesting user equipments (UEs) that operate based on harvest-then-transmit protocol. The uplink information transfer is carried out by using power-domain multiplexing, and the receiver decodes each UE's data in such a way that the UE with the best channel gain is decoded without interference. In order to determine optimal resource allocation strategies, we formulate optimization problems considering two models, namely half-duplex operation and asynchronous transmission, based on how downlink and uplink operations are coordinated. In both cases, we have concave-linear fractional problems, and hence Dinkelbach's method can be applied to obtain the globally optimal solutions. Thus, we first derive analytical expressions for the harvesting interval, and then we provide an algorithm to describe the complete procedure. Simulation results are included to justify the theoretical characterizations. In fact, we observe that broadcasting at higher power level is more energy efficient for WPCN with uplink NOMA.

Keywords:
Telecommunications link Computer science Multiplexing Asynchronous communication Wireless Transmitter power output Computer network User equipment Transmission (telecommunications) Real-time computing Electronic engineering Channel (broadcasting) Base station Telecommunications Engineering Transmitter

Metrics

12
Cited By
0.92
FWCI (Field Weighted Citation Impact)
19
Refs
0.79
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Energy Harvesting in Wireless Networks
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Advanced Wireless Communication Technologies
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Advanced MIMO Systems Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering

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