On Communications under Stochastic Energy Harvesting with Noisy Channel State Information

Handle URI:
http://hdl.handle.net/10754/623878
Title:
On Communications under Stochastic Energy Harvesting with Noisy Channel State Information
Authors:
Zenaidi, Mohamed Ridha; Rezki, Zouheir; Alouini, Mohamed-Slim ( 0000-0003-4827-1793 )
Abstract:
In energy harvesting communications, the transmitters have to adapt transmission to the availability of energy harvested during communication. The performance of the transmission depends on the channel conditions which vary randomly due environmental changes. In this paper, we consider the problem of power allocation taking into account the energy arrivals over time and imperfect 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 energy harvesting constraints. We determine the optimal power policy in the case where the channel is perfectly known at the receiver. Furthermore, a study of the asymptotic behavior of the communication system is proposed. Specifically, we analyze the average throughput (AT) in a system where the average recharge rate (ARR) is asymptotically small and when it is very high. Selected numerical results are provided to illustrate our analysis.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Citation:
Zenaidi MR, Rezki Z, Alouini M-S (2016) On Communications under Stochastic Energy Harvesting with Noisy Channel State Information. 2016 IEEE Global Communications Conference (GLOBECOM). Available: http://dx.doi.org/10.1109/glocom.2016.7842038.
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
2016 IEEE Global Communications Conference (GLOBECOM)
Issue Date:
7-Feb-2017
DOI:
10.1109/glocom.2016.7842038
Type:
Conference Paper
Sponsors:
This work was funded in part by the sensor initiative sponsored by the Office of Sponsored Research at KAUST and in part by the start-up fund provided to Zouheir Rezki from University of Idaho.
Additional Links:
http://ieeexplore.ieee.org/document/7842038/
Appears in Collections:
Conference Papers; 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.accessioned2017-05-31T11:23:11Z-
dc.date.available2017-05-31T11:23:11Z-
dc.date.issued2017-02-07en
dc.identifier.citationZenaidi MR, Rezki Z, Alouini M-S (2016) On Communications under Stochastic Energy Harvesting with Noisy Channel State Information. 2016 IEEE Global Communications Conference (GLOBECOM). Available: http://dx.doi.org/10.1109/glocom.2016.7842038.en
dc.identifier.doi10.1109/glocom.2016.7842038en
dc.identifier.urihttp://hdl.handle.net/10754/623878-
dc.description.abstractIn energy harvesting communications, the transmitters have to adapt transmission to the availability of energy harvested during communication. The performance of the transmission depends on the channel conditions which vary randomly due environmental changes. In this paper, we consider the problem of power allocation taking into account the energy arrivals over time and imperfect 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 energy harvesting constraints. We determine the optimal power policy in the case where the channel is perfectly known at the receiver. Furthermore, a study of the asymptotic behavior of the communication system is proposed. Specifically, we analyze the average throughput (AT) in a system where the average recharge rate (ARR) is asymptotically small and when it is very high. Selected numerical results are provided to illustrate our analysis.en
dc.description.sponsorshipThis work was funded in part by the sensor initiative sponsored by the Office of Sponsored Research at KAUST and in part by the start-up fund provided to Zouheir Rezki from University of Idaho.en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.relation.urlhttp://ieeexplore.ieee.org/document/7842038/en
dc.titleOn Communications under Stochastic Energy Harvesting with Noisy Channel State Informationen
dc.typeConference Paperen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.identifier.journal2016 IEEE Global Communications Conference (GLOBECOM)en
dc.contributor.institutionDepartment of Electrical and Computer Engineering, University of Idaho, USAen
kaust.authorZenaidi, Mohamed Ridhaen
kaust.authorAlouini, Mohamed-Slimen
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