A wideband spectrum data segment compression algorithm in cognitive radio networks

Yujie Li, Zhibin Gao, Lianfen Huang, Zhoujin Tang, Xiaojiang Du

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

5 Scopus citations

Abstract

In cognitive radio networks, cooperative spectrum sensing(SS) between cognitive users can improve the detection performance, reduce the testing time. However, a large amount of data interaction restrict its application and increase the consumption of resources. For the demand of cooperative SS, this paper improved the compression algorithm based energy detection which in the early stage of the work, the spectrum data is divided into segments of different characteristic and respectively compressed. The presented algorithm further improved the compression ratio compared to the original algorithm. Verified by the experiment of satellite signals, the experimental results show that the compression performance of this algorithm will be increased several times compared to JPEG, JPEG2000 and detection-based compression algorithm.

Original languageEnglish
Title of host publication2017 IEEE Wireless Communications and Networking Conference, WCNC 2017 - Proceedings
ISBN (Electronic)9781509041831
DOIs
StatePublished - 10 May 2017
Event2017 IEEE Wireless Communications and Networking Conference, WCNC 2017 - San Francisco, United States
Duration: 19 Mar 201722 Mar 2017

Publication series

NameIEEE Wireless Communications and Networking Conference, WCNC
ISSN (Print)1525-3511

Conference

Conference2017 IEEE Wireless Communications and Networking Conference, WCNC 2017
Country/TerritoryUnited States
CitySan Francisco
Period19/03/1722/03/17

Keywords

  • Cognitive radio
  • Spectrum sensing
  • Style
  • Wideband spectrum compression

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