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Joint optimization of spectrum sensing and dynamic spectrum access system

  • Harbin Institute of Technology Shenzhen
  • Ontario Tech University

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

Abstract

This paper investigates the effects of spectrum sensing errors on the performance of cognitive radio based dynamic spectrum access system (CR-DSA). We first analyze the DSA process with imperfect sensing information by a continuous-time Markov chain (CTMC) model, and then derive the performance metrics with respect to the sensing errors. To alleviate effect of errors in the spectrum sensing process on the system performance, we propose a joint optimization of the spectrum sensing and DSA process. The design is based on the observation that there exists the unique optimal false alarm (FA) probability/miss detection (MD) probability such that the achievable throughput of secondary system maximal. To find the optimal FA probability, a gradient information based algorithm is proposed, and simulation results reveal a significant performance improvement by virtue of the proposed algorithm.

Original languageEnglish
Title of host publication2013 IEEE Global Communications Conference, GLOBECOM 2013
Pages164-169
Number of pages6
DOIs
StatePublished - 2013
Externally publishedYes
Event2013 IEEE Global Communications Conference, GLOBECOM 2013 - Atlanta, GA, United States
Duration: 9 Dec 201313 Dec 2013

Publication series

NameProceedings - IEEE Global Communications Conference, GLOBECOM
ISSN (Print)2334-0983
ISSN (Electronic)2576-6813

Conference

Conference2013 IEEE Global Communications Conference, GLOBECOM 2013
Country/TerritoryUnited States
CityAtlanta, GA
Period9/12/1313/12/13

Keywords

  • Cognitive radio network
  • dynamic spectrum access
  • false alarm probability
  • spectrum sensing

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