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

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

9 被引用数 (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).

ホスト出版物のタイトル2014 IEEE 80th Vehicular Technology Conference, VTC2014-Fall, Proceedings
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781479944491, 9781479944491
出版ステータス出版済み - 11 24 2014
イベント80th IEEE Vehicular Technology Conference, VTC 2014-Fall - Vancouver, カナダ
継続期間: 9 14 20149 17 2014


名前IEEE Vehicular Technology Conference


その他80th 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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