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Iterative Optimization of Energy Detector Sensing Time and Periodic Sensing Interval in Cognitive Radio Networks
Högskolan i Gävle, Akademin för teknik och miljö, Avdelningen för elektronik, matematik och naturvetenskap, Elektronik. Royal Institute of Technology (KTH), Stockholm, Sweden . (Electronics)
Högskolan i Gävle, Akademin för teknik och miljö, Avdelningen för elektronik, matematik och naturvetenskap, Elektronik. Vrije Universiteit Brussel, Belgium .ORCID-id: 0000-0001-5429-7223
Blekinge Institute of Technology.
2013 (engelsk)Inngår i: Self-Organization and Green Applications in Cognitive Radio Networks / [ed] Anwer Al-Dulaimi, John Cosmas, Abbas Mohammed, IGI Global, 2013, 1, s. 53-69Kapittel i bok, del av antologi (Fagfellevurdert)
Abstract [en]

In this chapter the authors propose a new approach for optimizing the sensing time and periodic sensing interval for energy detectors in cognitive radio networks. The optimization of the sensing time depends on maximizing the summation of the probability of right detection and transmission efficiency, while the optimization of periodic sensing interval is subject to maximizing the summation of transmission efficiency and captured opportunities. Since the optimum sensing time and periodic sensing interval are dependent on each other, an iterative approach to optimize them simultaneously is proposed and a convergence criterion is devised. In addition, the probability of detection, probability of false alarm, probability of right detection, transmission efficiency, and captured opportunities are taken as performance metrics for the detector and evaluated for various values of channel utilization factors and signal-to-noise ratios.

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IGI Global, 2013, 1. s. 53-69
HSV kategori
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URN: urn:nbn:se:hig:diva-13979DOI: 10.4018/978-1-4666-2812-0.ch003Scopus ID: 2-s2.0-84898167667ISBN: 9781466628120 (tryckt)OAI: oai:DiVA.org:hig-13979DiVA, id: diva2:612275
Tilgjengelig fra: 2013-03-21 Laget: 2013-03-21 Sist oppdatert: 2019-12-11bibliografisk kontrollert

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