A Compressive Method for Centralized PSD Map Construction with Imperfect Reporting Channel

Spectrum resources are facing huge demands and cognitive radio (CR) can improve the spectrum utilization. Recently, power spectral density (PSD) map is defined to enable the CR to reuse the frequency resources regarding to the area. For this reason, the sensed PSDs are fused by a Fusion Center (FC) which the sensed PSDs are collected by the distributed sensors in the area. But, for a given zone, the sensed PSD by neighbor CR sensors may contain a shared common component for a while. This component can be exploited in the theory of the distributed source coding (DSC) to compress sensing data more. In this paper based on the distributed compressive sensing (DCS) a method is proposed to compress and reconstruct the PSDs of the sensors when the data transmission is slightly imperfect. Simulation results show the advantages of using proposed method in compressing, reducing overhead and also recovering PSDs. % Proposed method can be used to develop a framework when the holding times of the users are large in comparison with the rate of the spectrum sensing.

[1]  R. Tibshirani.  Regression Shrinkage and Selection via the Lasso , 1996 .

[2]  Ian F. Akyildiz,et al.  Cooperative spectrum sensing in cognitive radio networks: A survey , 2011, Phys. Commun..

[3]  David L Donoho,et al.  Compressed sensing , 2006, IEEE Transactions on Information Theory.

[4]  Hongjian Sun,et al.  Collaborative Spectrum Sensing in Cognitive Radio Networks , 2011 .

[5]  Albert Wang,et al.  The In-Crowd Algorithm for Fast Basis Pursuit Denoising , 2011, IEEE Transactions on Signal Processing.

[6]  Mikael Skoglund,et al.  On the use of compressive sampling for wide-band spectrum sensing , 2010, The 10th IEEE International Symposium on Signal Processing and Information Technology.

[7]  Hüseyin Arslan,et al.  A survey of spectrum sensing algorithms for cognitive radio applications , 2009, IEEE Communications Surveys & Tutorials.

[8]  Robert C. Qiu,et al.  Cooperative Wideband Spectrum Sensing for the Centralized Cognitive Radio Network , 2011, ArXiv.

[9]  Hiroshi Harada,et al.  Cognitive radio in emerging communications systems - small cells, machine-to-machine communications, TV white spaces and green radios , 2013, Trans. Emerg. Telecommun. Technol..

[10]  Geert Leus,et al.  Distributed compressive wide-band spectrum sensing , 2009, 2009 Information Theory and Applications Workshop.

[11]  Seyed Ali Ghorashi,et al.  PSD Map Construction Scheme Based on Compressive Sensing in Cognitive Radio Networks , 2012, IEICE Trans. Commun..

[12]  Brian M. Sadler,et al.  A Survey of Dynamic Spectrum Access , 2007, IEEE Signal Processing Magazine.

[13]  Farah Torkamani-Azar,et al.  A Centralized PSD Map Construction by Distributed Compressive Sensing , 2015, IEEE Communications Letters.

[14]  Xiaoying Gan,et al.  Joint Compressive Sensing in Wideband Cognitive Networks , 2010, 2010 IEEE Wireless Communication and Networking Conference.

[15]  A. Ghasemi,et al.  Collaborative spectrum sensing for opportunistic access in fading environments , 2005, First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, 2005. DySPAN 2005..

[16]  Georgios B. Giannakis,et al.  Distributed Spectrum Sensing for Cognitive Radio Networks by Exploiting Sparsity , 2010, IEEE Transactions on Signal Processing.

[17]  Richard G. Baraniuk,et al.  Distributed Compressed Sensing Dror , 2005 .