Optimal energy management for energy harvesting transmitters under battery usage constraint

Xianwen Wu, Jing Yang, Jingxian Wu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

This paper takes the impact of charging and discharging operations on battery degradation into consideration, and studies the optimal energy management policy for an energy harvesting communication system under a battery usage constraint. Specifically, in each time slot, we assume the harvested energy can be used to power the transmitter immediately without entering into the battery, or stored into the battery for now and retrieved later for transmission. Whenever the battery is charged or discharged, a cost will be incurred to account for its impact on battery degradation. We impose an long-term average cost constraint on the battery, which is translated to the average number of charge/discharge operations per unit time. The objective is to develop an online policy to maximize the long-term average throughput of the transmitter under energy causality constraint and the battery usage constraint. We first relax the energy causality constraint on the system, and impose an energy flow conservation constraint instead. We show that the optimal energy management policy has a double-threshold structure: if the amount of energy arrives in each time slot lies in between the two thresholds, it will be used immediately without involving the battery; otherwise, the battery will be charged or discharged accordingly to maintain a constant transmit power. We then modify the double-threshold policy slightly to accommodate the energy causality constraint, and analyze its long-term performance. We show that the system achieves the same long-term average performance, thus it is optimal.

Original languageEnglish (US)
Title of host publicationProceedings - ISIT 2016; 2016 IEEE International Symposium on Information Theory
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages475-479
Number of pages5
ISBN (Electronic)9781509018062
DOIs
StatePublished - Aug 10 2016
Event2016 IEEE International Symposium on Information Theory, ISIT 2016 - Barcelona, Spain
Duration: Jul 10 2016Jul 15 2016

Publication series

NameIEEE International Symposium on Information Theory - Proceedings
Volume2016-August
ISSN (Print)2157-8095

Other

Other2016 IEEE International Symposium on Information Theory, ISIT 2016
Country/TerritorySpain
CityBarcelona
Period7/10/167/15/16

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Information Systems
  • Modeling and Simulation
  • Applied Mathematics

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