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Jointly locating the primary and secondary users in cognitive radio networks

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

Abstract

In this paper a local geometry alignment algorithm is presented for locating the primary users (PUs) and Secondary users (SUs) in cognitive radio network. Based on the estimated distance between PUs and SUs for the neighbors within certain communication range, the relative configuration of all the users in the network is obtained initially and is refined finally to get the global position of every user in the network. The localization performance of the proposed approach is compared to multidimensional scaling and principal component analysis. Furthermore the lower bound on error i.e., the Cramer Rao lower bound (CRLB) is also derived to check the performance of the proposed algorithm.

Original languageEnglish
Title of host publicationProceedings of 2017 International Conference on Communication, Computing and Digital Systems, C-CODE 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages6-10
Number of pages5
ISBN (Electronic)9781509044481
DOIs
Publication statusPublished - May 3 2017
Externally publishedYes
Event2017 International Conference on Communication, Computing and Digital Systems, C-CODE 2017 - Islamabad, Pakistan
Duration: Mar 8 2017Mar 9 2017

Publication series

NameProceedings of 2017 International Conference on Communication, Computing and Digital Systems, C-CODE 2017

Conference

Conference2017 International Conference on Communication, Computing and Digital Systems, C-CODE 2017
Country/TerritoryPakistan
CityIslamabad
Period3/8/173/9/17

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Signal Processing

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