Performance Limits of Online Energy Harvesting Communications with Noisy Channel State Information at the Transmitter

Handle URI:
http://hdl.handle.net/10754/622960
Title:
Performance Limits of Online Energy Harvesting Communications with Noisy Channel State Information at the Transmitter
Authors:
Zenaidi, Mohamed Ridha; Rezki, Zouheir; Alouini, Mohamed-Slim ( 0000-0003-4827-1793 )
Abstract:
In energy harvesting communications, the transceivers have to adjust the data transmission to the energy scavenged 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 quality of channel state information (CSI) measured at the transmitter, in order to maximize the throughput. Differently from previous work, we focus on energy harvesting communications where the CSI at the transmitter is not perfect and may include estimation errors. In the present paper, we introduce a Markov process that models the energy arrival process. Indeed, we solve the throughput maximization problem with respect to energy harvesting constraints. We show that the optimal online power policy can be found using dynamic programming. Furthermore, we study the asymptotic behavior of the communication system at low and high average recharge rate (ARR) regime. Selected numerical results are provided to support our analysis.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Electrical Engineering Program
Citation:
Zenaidi MR, Rezki Z, Alouini M-S (2017) Performance Limits of Online Energy Harvesting Communications with Noisy Channel State Information at the Transmitter. IEEE Access: 1–1. Available: http://dx.doi.org/10.1109/ACCESS.2017.2654454.
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
IEEE Access
Issue Date:
1-Mar-2017
DOI:
10.1109/ACCESS.2017.2654454
Type:
Article
ISSN:
2169-3536
Sponsors:
Start-up fund provided to Dr. Zouheir Rezki from University of Idaho.; Office of Sponsored Research at KAUST
Additional Links:
http://ieeexplore.ieee.org/document/7865904/
Appears in Collections:
Articles; Electrical Engineering Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorZenaidi, Mohamed Ridhaen
dc.contributor.authorRezki, Zouheiren
dc.contributor.authorAlouini, Mohamed-Slimen
dc.date.accessioned2017-03-05T06:13:15Z-
dc.date.available2017-03-05T06:13:15Z-
dc.date.issued2017-03-01en
dc.identifier.citationZenaidi MR, Rezki Z, Alouini M-S (2017) Performance Limits of Online Energy Harvesting Communications with Noisy Channel State Information at the Transmitter. IEEE Access: 1–1. Available: http://dx.doi.org/10.1109/ACCESS.2017.2654454.en
dc.identifier.issn2169-3536en
dc.identifier.doi10.1109/ACCESS.2017.2654454en
dc.identifier.urihttp://hdl.handle.net/10754/622960-
dc.description.abstractIn energy harvesting communications, the transceivers have to adjust the data transmission to the energy scavenged 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 quality of channel state information (CSI) measured at the transmitter, in order to maximize the throughput. Differently from previous work, we focus on energy harvesting communications where the CSI at the transmitter is not perfect and may include estimation errors. In the present paper, we introduce a Markov process that models the energy arrival process. Indeed, we solve the throughput maximization problem with respect to energy harvesting constraints. We show that the optimal online power policy can be found using dynamic programming. Furthermore, we study the asymptotic behavior of the communication system at low and high average recharge rate (ARR) regime. Selected numerical results are provided to support our analysis.en
dc.description.sponsorshipStart-up fund provided to Dr. Zouheir Rezki from University of Idaho.en
dc.description.sponsorshipOffice of Sponsored Research at KAUSTen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.relation.urlhttp://ieeexplore.ieee.org/document/7865904/en
dc.rights(c) 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.en
dc.subjectChannel state informationen
dc.subjectCommunication systemsen
dc.subjectEnergy harvestingen
dc.subjectMarkov processesen
dc.subjectResource managementen
dc.subjectThroughputen
dc.subjectTransmittersen
dc.titlePerformance Limits of Online Energy Harvesting Communications with Noisy Channel State Information at the Transmitteren
dc.typeArticleen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.contributor.departmentElectrical Engineering Programen
dc.identifier.journalIEEE Accessen
dc.eprint.versionPost-printen
dc.contributor.institutionDepartment of Electrical and Computer Engineering, University of Idaho, Idaho, USA.en
kaust.authorZenaidi, Mohamed Ridhaen
kaust.authorAlouini, Mohamed-Slimen
All Items in KAUST are protected by copyright, with all rights reserved, unless otherwise indicated.