Optimal cooperative primary user localization in Cognitive Radio networks

Bassant Selim, Sami Muhaidat, Nayef Alsindi, Mohammed Ismail Elnaggar

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

Abstract

Spectrum sensing is an essential feature of Cognitive Radio (CR) that enables the nodes to determine the availability of the spectrum to be exploited. Recent work on CR propose localization of Primary Users (PUs) which enables CR nodes, also called Secondary Users (SUs), to utilize gray spectrum (occupied by PUs) by limiting their transmission power and hence not causing interference to PUs. Techniques for cooperative localization of PU are inspired from localization in Wireless Sensor Networks. There are a number of algorithms for the enhancement of these techniques in the context of CR. The intended work, presented in this paper, aims to define an algorithm for cooperative PU localization in Cognitive Radio Networks based on an optimal tolerated error. This approach would minimize cooperation overhead while maximizing the probability of detection. The overhead refers to any extra sensing time, delay, energy and operations devoted to cooperative sensing and any performance degradation caused by cooperative sensing [1].

Original languageBritish English
Title of host publication2013 IEEE 20th International Conference on Electronics, Circuits, and Systems, ICECS 2013
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages84-85
Number of pages2
ISBN (Print)9781479924523
DOIs
StatePublished - 2013
Event2013 IEEE 20th International Conference on Electronics, Circuits, and Systems, ICECS 2013 - Abu Dhabi, United Arab Emirates
Duration: 8 Dec 201311 Dec 2013

Publication series

NameProceedings of the IEEE International Conference on Electronics, Circuits, and Systems

Conference

Conference2013 IEEE 20th International Conference on Electronics, Circuits, and Systems, ICECS 2013
Country/TerritoryUnited Arab Emirates
CityAbu Dhabi
Period8/12/1311/12/13

Keywords

  • Cognitive radio
  • Localization
  • Probability of detection

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