Throughput maximization with channel acquisition in energy harvesting systems

Subhash Lakshminarayana, Tony Q.S. Quek

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

Abstract

We consider the problem of maximizing the time average throughput in energy harvesting networks with dynamic channel state acquisition. Previous works on energy harvesting systems do not account for the energy consumed to acquire the channel state information(CSI). However, when the nodes have a limited capacity batteries and the energy available in the battery is time varying, it becomes crucial to account for the energy spent in acquiring the CSI. In such a scenario, the available energy in the battery must be optimally divided between CSI acquisition and transmission. We model the energy harvesting battery as an energy queue and use the technique of Lyapunov optimization combined with the idea of weight perturbation to jointly optimize the channel probing and transmission decisions. Since the optimization problem corresponding to the optimal CSI acquisition decision in each time slot is a combinatorial problem, we provide a low-complexity scheme to solve this in the special case ON-OFF fading channels with binary power allocation scheme, and prove that this algorithm is optimal. Finally, we provide numerical results and show that when the mean rate of the harvested energy is low, it becomes crucial to account for the energy consumed in acquiring the CSI.

Original languageEnglish
Title of host publication2014 IEEE International Conference on Communications, ICC 2014
PublisherIEEE Computer Society
Pages2430-2435
Number of pages6
ISBN (Print)9781479920037
DOIs
Publication statusPublished - 2014
Event2014 1st IEEE International Conference on Communications, ICC 2014 - Sydney, NSW, Australia
Duration: 2014 Jun 102014 Jun 14

Publication series

Name2014 IEEE International Conference on Communications, ICC 2014

Other

Other2014 1st IEEE International Conference on Communications, ICC 2014
CountryAustralia
CitySydney, NSW
Period14-06-1014-06-14

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

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