Performance analysis of TOA range accuracy adaptation for cognitive radio systems

Hasari Celebi, Khalid Qaraqe, Huseyin Arslan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Location awareness is a prominent feature of cognitive radio (CR) systems. In order to support goal driven and autonomous location aware applications using CR systems, range accuracy adaptation is an essential task. Therefore, in this paper, performance analysis of optimal maximum likelihood (ML) time of arrival (TOA) range accuracy adaptation technique is conducted to study performance limits of location aware systems. The performance of ML-TOA range accuracy adaptation method is evaluated in dynamic spectrum access environments through computer simulations. The results show that range accuracy adaptation can be achieved by ML-TOA method with a relative error for each desired range accuracy.

Original languageEnglish
Title of host publicationProceedings of the 2009 IEEE 70th Vehicular Technology Conference Fall, VTC 2009 Fall
DOIs
Publication statusPublished - 2009
Event2009 IEEE 70th Vehicular Technology Conference Fall, VTC 2009 Fall - Anchorage, AK, United States
Duration: 20 Sep 200923 Sep 2009

Other

Other2009 IEEE 70th Vehicular Technology Conference Fall, VTC 2009 Fall
CountryUnited States
CityAnchorage, AK
Period20/9/0923/9/09

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ASJC Scopus subject areas

  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Cite this

Celebi, H., Qaraqe, K., & Arslan, H. (2009). Performance analysis of TOA range accuracy adaptation for cognitive radio systems. In Proceedings of the 2009 IEEE 70th Vehicular Technology Conference Fall, VTC 2009 Fall [5379054] https://doi.org/10.1109/VETECF.2009.5379054