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AuthorBadawy A.
AuthorEl Shafie A.
AuthorKhattab T.
Available date2022-11-01T09:01:32Z
Publication Date2020
Publication NameIEEE Communications Letters
ResourceScopus
Resource2-s2.0-85083179495
URIhttp://dx.doi.org/10.1109/LCOMM.2020.2970014
URIhttp://hdl.handle.net/10576/35690
AbstractQuickest change detection (QCD) is a fundamental problem in many applications. Given a sequence of measurements that exhibits two different distributions around a certain flipping point, the goal is to detect the change in distribution around the flipping point as quickly as possible. The QCD problem appears in many practical applications, e.g., quality control, power system line outage detection, spectrum reuse, and resource allocation and scheduling. In this letter, we focus on spectrum sensing as our application since it is a critical process for proper functionality of cognitive radio networks. Relying on the cumulative sum (CUSUM), we derive the probability of detection and the probability of false alarm of CUSUM based spectrum sensing. We show the correctness of our derivations using numerical simulations. 1997-2012 IEEE.
SponsorManuscript received December 28, 2019; revised January 20, 2020; accepted January 20, 2020. Date of publication January 28, 2020; date of current version April 9, 2020. This work was supported by the Qatar National Research Fund, QNRF (a member of Qatar Foundation, QF) under Grant NPRP 7-923-2-344. The statements made herein are the sole responsibility of the authors. The associate editor coordinating the review of this letter and approving it for publication was F. Wang. (Corresponding author: Ahmed El Shafie.) Ahmed Badawy was with the Electrical Engineering Department, Qatar University, Doha, Qatar. He is now with the DET, Politecnico di Torino, 10129 Turin, Italy (e-mail: ahmed.badawy@polito.it).
Languageen
PublisherInstitute of Electrical and Electronics Engineers Inc.
SubjectCognitive radio
CUSUM detection
Quickest detection
Spectrum sensing
TitleOn the Performance of Quickest Detection Spectrum Sensing: The Case of Cumulative Sum
TypeArticle
Pagination739-743
Issue Number4
Volume Number24
dc.accessType Abstract Only


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