A practical subspace multiple measurement vectors algorithm for cooperative spectrum sensing

Tsung Hsun Chien, Wei Jie Liang, Chun Shien Lu

研究成果: Conference contribution

2 引文 斯高帕斯(Scopus)

摘要

Cooperative spectrum sensing (CSS) in cognitive radio networks conducts cooperation among sensing users to jointly sense the sparse spectrum and utilize available spectrums. Greedy multiple measurement vectors (MMVs) algorithm in the context of compressed sensing can ideally model the wideband CSS scenario to efficiently solve the support detection problem for identification of occupied channels. Actually, the number of sparsity is unknown, and most of greedy algorithms for MMVs lack for a (robust) stopping criterion of determining when the greedy algorithm should terminate. In this paper, we analyze and derive oracle stopping bounds for greedy MMVs algorithms without depending on prior information such as sparsity. Moreover, we introduce a practical subspace MMVs greedy algorithm that extends from a subspace-based sparse recovery method to a more practical setting, in which no prior information are required. Extensive simulations confirm the feasibility of the proposed stopping criteria and our sparse recovery algorithm.

原文English
主出版物標題2014 IEEE Global Communications Conference, GLOBECOM 2014
發行者Institute of Electrical and Electronics Engineers Inc.
頁面787-792
頁數6
ISBN(電子)9781479935116
DOIs
出版狀態Published - 2014 二月 9
事件2014 IEEE Global Communications Conference, GLOBECOM 2014 - Austin, United States
持續時間: 2014 十二月 82014 十二月 12

出版系列

名字2014 IEEE Global Communications Conference, GLOBECOM 2014

Conference

Conference2014 IEEE Global Communications Conference, GLOBECOM 2014
國家United States
城市Austin
期間14-12-0814-12-12

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Computer Networks and Communications
  • Communication

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  • 引用此

    Chien, T. H., Liang, W. J., & Lu, C. S. (2014). A practical subspace multiple measurement vectors algorithm for cooperative spectrum sensing. 於 2014 IEEE Global Communications Conference, GLOBECOM 2014 (頁 787-792). [7036904] (2014 IEEE Global Communications Conference, GLOBECOM 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GLOCOM.2014.7036904