JOURNAL ARTICLE

Energy-harvesting user fairness in wireless information and power transfer OFDMA networks

Abstract

In this paper, we propose a new optimization framework that supports energy harvesting user fairness in a wireless information and power transfer OFDMA network. We consider the downlink of a multiuser network, where non-overlapping subchannels are allocated to the users with power splitting receivers for information transfer and energy harvesting. We propose a two-stage optimization algorithm to maximize the minimum energy harvested by the users while satisfying a minimum required user rate. We apply the proposed algorithm to optimize the subchannel allocation, power allocation, and power splitting ratio for each user. Numerical examples are provided to highlight the fairness and efficiency of our two-stage algorithm.

Keywords:
Computer science Telecommunications link Computer network Wireless Energy harvesting Information transfer Wireless power transfer Maximum power transfer theorem Power (physics) Energy (signal processing) Frequency-division multiple access Wireless network Optimization problem Multi-user Efficient energy use Mathematical optimization Orthogonal frequency-division multiplexing Channel (broadcasting) Algorithm Telecommunications Engineering Electrical engineering Mathematics

Metrics

2
Cited By
0.26
FWCI (Field Weighted Citation Impact)
14
Refs
0.62
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 MIMO Systems Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Wireless Power Transfer Systems
Physical Sciences →  Engineering →  Electrical and Electronic Engineering

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