Wide-band cooperative compressive spectrum sensing for cognitive radio systems using distributed sensing matrix

Mohammed Farrag, Osamu Muta, Mostafa El-Khamy, Hiroshi Furukawa, Mohamed El-Sharkawy

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

9 Citations (Scopus)


In this paper, cooperative compressive spectrum sensing is considered to enable accurate sensing of the wide-band spectrum. The proposed algorithm is based on compressive sensing theory and aims to reduce the hardware complexity of the cognitive radio receiver by distributing the sensing work among groups of sensing nodes. The proposed algorithm classies the cooperated sensing nodes into different sensing groups depending on the quality of the reporting channel between the sensing node and the fusion center (FC). To sense the wide- band analog signal and take a global decision about spectrum occupancy, each node uses its local sensing matrix, which is assigned to its sensing group and a part of a global sensing matrix at the FC. The size of the local sensing matrix of each sensing node,and consequently the contribution of this node in the overall measurement vector, depends on its sensing group. The FC classies and rearranges the compressed data to formulate one global measurement vector which is used with a global sensing matrix to estimate the wide-band signal spectrum. The receiver operation characteristics (ROC) of the overall spectrum sensing system show that the proposed receiver provides more protection to primary users (higher detection probability) at the same secondary user throughput (probability of false alarm).

Original languageEnglish
Title of host publication2014 IEEE 80th Vehicular Technology Conference, VTC2014-Fall, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479944491, 9781479944491
Publication statusPublished - Nov 24 2014
Event80th IEEE Vehicular Technology Conference, VTC 2014-Fall - Vancouver, Canada
Duration: Sept 14 2014Sept 17 2014

Publication series

NameIEEE Vehicular Technology Conference
ISSN (Print)1550-2252


Other80th IEEE Vehicular Technology Conference, VTC 2014-Fall

All Science Journal Classification (ASJC) codes

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


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