NDLI: Saving-sensing-throughput tradeoff in cognitive radio systems with wireless energy harvesting

Content Provider	IEEE Xplore Digital Library
Author	Sixing Yin Erqing Zhang Liang Yin Shufang Li
Copyright Year	2013
Description	Author affiliation: Beijing Univ. of Posts & Telecommun., Beijing, China (Sixing Yin; Erqing Zhang; Liang Yin; Shufang Li)
Abstract	In recent years, with the rapid growth in wireless communication applications, issues in energy consumption has been increasingly critical, especially in cognitive radio (CR) systems with the exclusive functionality of spectrum sensing. In this paper, we consider a self-powered cognitive radio system, in which the SU has no fixed power supplies (e.g. batteries) and is powered by an energy harvester which extracts energy from the ambient radio signal. It is assumed that the SU operates in a harvesting (also termed “saving”)-sensing-transmitting fashion, which partitions a timeslot into three non-overlapping fractions. Taking the tradeoff between the three operations into account, we focus on optimization for spectrum sensing strategy to maximize the SU's expected achievable throughput. We formulate the expected achievable throughput optimization as a mixe-dinteger non-linear programming (MINLP) problem and derive the optimal spectrum sensing strategy via a modified differential evolution (DE) algorithm. We also present in-depth numerical analysis on the optimal spectrum sensing strategy and the experimental results demonstrate the optimal sensing strategy outperforms the stochastic one in terms of statistical expectation.
Sponsorship	IEEE Commun. Soc.
Starting Page	1032
Ending Page	1037
File Size	499524
Page Count	6
File Format	PDF
ISBN	9781479913534
DOI	10.1109/GLOCOM.2013.6831210
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-09
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Sensors Throughput Energy harvesting Cognitive radio Wireless sensor networks Data communication Wireless Energy Harvesting Cognitive Radio Spectrum Sensing
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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