Energy Efficient Online Power Allocation for Two Users with Energy Harvesting

Mateen Ashraf; Jaehoon Jung; Hun Min Shin; Inkyu Lee

doi:10.1109/LSP.2018.2878947

Energy Efficient Online Power Allocation for Two Users with Energy Harvesting

Mateen Ashraf, Jaehoon Jung, Hun Min Shin, Inkyu Lee

School of Electrical Engineering

Research output: Contribution to journal › Article

1 Citation (Scopus)

Abstract

In this paper, we propose an online power allocation (PA) method to maximize energy efficiency (EE) in energy harvesting systems with realistic battery constraints for two receivers. The optimization problem in this system configuration is challenging since it has non-convex fractional form and the information of channel quality and the harvested energy can only be obtained causally in practice. To overcome these issues, we design time-average EE maximization through Lyapunov optimization techniques where the transmission power is computed with current battery information and channel fading. Moreover, based on random matrix theory, we present a simplified online EE algorithm. Numerical experiments verify that the proposed PA outperforms conventional online approaches with much reduced computational complexity.

Original language	English
Journal	IEEE Signal Processing Letters
DOIs	https://doi.org/10.1109/LSP.2018.2878947
Publication status	Accepted/In press - 2018 Jan 1

Keywords

Batteries
Energy harvesting
Fading channels
Optimization
Receivers
Resource management
Transmitters

ASJC Scopus subject areas

Signal Processing
Electrical and Electronic Engineering
Applied Mathematics

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10.1109/LSP.2018.2878947

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Ashraf, M., Jung, J., Shin, H. M., & Lee, I. (Accepted/In press). Energy Efficient Online Power Allocation for Two Users with Energy Harvesting. IEEE Signal Processing Letters. https://doi.org/10.1109/LSP.2018.2878947

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