Homotopy reconstruction for compressive sensing based cooperative transmissions in cognitive radio network

Author(s):  
Xiaorong Xu ◽  
Haiyan Cao ◽  
Qian Guo
2013 ◽  
Vol 441 ◽  
pp. 915-919
Author(s):  
Bin Bin Xu

In this paper, a Gradual Compressive spectrum sensing method is presented for collaborated users in wideband cognitive radio (CR) network. By taking the advantage of compressive sensing (CS), we can reconstructs the wideband spectrum using sub-Nyquist samples. Furthermore, we employ gradual signal acquisition and recovery that can terminate the process once the result of spectral recovery converge. This proposed method is flexible for different wideband signal sparsity and signal to noise ratio, leading to enhanced network throughput. Simulations testify the effectiveness of the proposed method in CR networks.


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