Energy detection based spectrum sensing with random arrival and departure of primary user's signal

Jwo-Yuh Wu, Pei Hsin Huang, Tsang Yi Wang, Vincent W.S. Wong

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

10 Scopus citations

Abstract

Energy detection (ED) is a popular spectrum sensing technique for cognitive radios. The study of ED which takes into account the dynamic of traffic patterns of primary users, in the form of random signal arrival and departure, is of both theoretical and practical importance. Some of the existing works, however, resort to certain approximation techniques to characterize the detection performance. In this paper, given a pair of arrival and departure time instants, we first derive an exact expression for the conditional detection probability. The exact mean detection probability is then obtained via an average operation over the random arrival and departure times. To improve the robustness of the detection performance against random signal arrival and departure, we further propose a Bayesian-based ED scheme. We present simulation results to validate our analytic study, and show the performance gain of our proposed Bayesian approach.

Original languageEnglish
Title of host publication2013 IEEE Globecom Workshops, GC Wkshps 2013
PublisherIEEE Computer Society
Pages380-384
Number of pages5
ISBN (Print)9781479928514
DOIs
StatePublished - 1 Jan 2013
Event2013 IEEE Globecom Workshops, GC Wkshps 2013 - Atlanta, GA, United States
Duration: 9 Dec 201313 Dec 2013

Publication series

Name2013 IEEE Globecom Workshops, GC Wkshps 2013

Conference

Conference2013 IEEE Globecom Workshops, GC Wkshps 2013
CountryUnited States
CityAtlanta, GA
Period9/12/1313/12/13

Fingerprint Dive into the research topics of 'Energy detection based spectrum sensing with random arrival and departure of primary user's signal'. Together they form a unique fingerprint.

Cite this