Energy Efficient Online Power Allocation for Two Users with Energy Harvesting

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

Research output: Contribution to journalArticle

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 languageEnglish
JournalIEEE Signal Processing Letters
DOIs
Publication statusAccepted/In press - 2018 Jan 1

Fingerprint

Energy Harvesting
Energy harvesting
Power Allocation
Energy Efficiency
Energy Efficient
Energy efficiency
Battery
Random Matrix Theory
Time-average
Fading Channels
Power transmission
Fading channels
Lyapunov
Optimization Techniques
Computational complexity
Computational Complexity
Fractional
Receiver
Maximise
Numerical Experiment

Keywords

  • Batteries
  • Energy harvesting
  • Fading channels
  • Optimization
  • Receivers
  • Resource management
  • Transmitters

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering
  • Applied Mathematics

Cite this

Energy Efficient Online Power Allocation for Two Users with Energy Harvesting. / Ashraf, Mateen; Jung, Jaehoon; Shin, Hun Min; Lee, Inkyu.

In: IEEE Signal Processing Letters, 01.01.2018.

Research output: Contribution to journalArticle

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