Performance limits of energy harvesting communications under imperfect channel state information

Mohamed Ridha Zenaidi, Zouheir Rezki, Hamidou Tembine, Mohamed Slim Alouini

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

Abstract

In energy harvesting communications, the transmitters have to adapt transmission to availability of energy harvested during the course of communication. The performance of the transmission depends on the channel conditions which vary randomly due to mobility and environmental changes. In this paper, we consider the problem of power allocation taking into account the energy arrivals over time and the degree of channel state information (CSI) available at the transmitter, in order to maximize the throughput. Differently from previous work, the CSI at the transmitter is not perfect and may include estimation errors. We solve this problem with respect to the causality and energy storage constraints. We determine the optimal offline policy in the case where the channel is assumed to be perfectly known at the receiver. Also, we obtain the power policy when the transmitter has no CSI. Furthermore, we analyze the asymptotic average throughput in a system where the average recharge rate goes asymptotically to zero.

Original languageEnglish (US)
Title of host publication2016 IEEE International Conference on Communications, ICC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479966646
DOIs
StatePublished - Jul 12 2016
Event2016 IEEE International Conference on Communications, ICC 2016 - Kuala Lumpur, Malaysia
Duration: May 22 2016May 27 2016

Publication series

Name2016 IEEE International Conference on Communications, ICC 2016

Other

Other2016 IEEE International Conference on Communications, ICC 2016
CountryMalaysia
CityKuala Lumpur
Period5/22/165/27/16

Keywords

  • Asymptotic average throughput
  • channel estimation
  • channel state information
  • energy harvesting
  • offline power allocation
  • throughput maximization

ASJC Scopus subject areas

  • Computer Networks and Communications

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  • Cite this

    Zenaidi, M. R., Rezki, Z., Tembine, H., & Alouini, M. S. (2016). Performance limits of energy harvesting communications under imperfect channel state information. In 2016 IEEE International Conference on Communications, ICC 2016 [7511349] (2016 IEEE International Conference on Communications, ICC 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICC.2016.7511349