Sensing and transmit energy optimization for an energy harvesting cognitive radio

Ahmed Sultan

doi:10.1109/WCL.2012.071612.120304

Sensing and transmit energy optimization for an energy harvesting cognitive radio

Ahmed Sultan

Research output: Contribution to journal › Article › peer-review

125 Scopus citations

Abstract

We consider a cognitive radio setting in which the secondary user is an energy harvester with a finite capacity battery. The primary user operates in a time-slotted fashion. At the beginning of each time slot, the secondary user, aiming at maximizing its throughput, may remain idle or carry out spectrum sensing to detect primary activity. The decision is determined by the secondary belief regarding primary activity and the amount of stored energy. We formulate this problem as a Markov decision process. We illustrate the optimal policy, compare it with a myopic policy, and investigate the variation of throughput with various system parameters. © 2012 IEEE.

Original language	English (US)
Pages (from-to)	500-503
Number of pages	4
Journal	IEEE Wireless Communications Letters
Volume	1
Issue number	5
DOIs	https://doi.org/10.1109/WCL.2012.071612.120304
State	Published - Jul 25 2012
Externally published	Yes

Bibliographical note

Generated from Scopus record by KAUST IRTS on 2023-09-22

ASJC Scopus subject areas

Control and Systems Engineering
Electrical and Electronic Engineering
Physics and Astronomy (miscellaneous)

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10.1109/WCL.2012.071612.120304

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AB - We consider a cognitive radio setting in which the secondary user is an energy harvester with a finite capacity battery. The primary user operates in a time-slotted fashion. At the beginning of each time slot, the secondary user, aiming at maximizing its throughput, may remain idle or carry out spectrum sensing to detect primary activity. The decision is determined by the secondary belief regarding primary activity and the amount of stored energy. We formulate this problem as a Markov decision process. We illustrate the optimal policy, compare it with a myopic policy, and investigate the variation of throughput with various system parameters. © 2012 IEEE.

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ER -

Sensing and transmit energy optimization for an energy harvesting cognitive radio

Abstract

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ASJC Scopus subject areas

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