Collaborative Spectrum Sensing via L1/2 Regularization

Zhe LIU  Feng LI  WenLei DUAN  

IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences   Vol.E98-A    No.1    pp.445-449
Publication Date: 2015/01/01
Online ISSN: 1745-1337
DOI: 10.1587/transfun.E98.A.445
Type of Manuscript: LETTER
Category: Communication Theory and Signals
basis expansion model,  cooperative approach,  L1/2 regularization,  spectrum sensing,  

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This letter studies the problem of cooperative spectrum sensing in wideband cognitive radio networks. Based on the basis expansion model (BEM), the problem of estimation of power spectral density (PSD) is transformed to estimation of BEM coefficients. The sparsity both in frequency domain and space domain is used to construct a sparse estimation structure. The theory of L1/2 regularization is used to solve the compressed sensing problem. Simulation results demonstrate the effectiveness of the proposed method.