Title :
Variational Bayesian Inference based cooperative spectrum sensing in Cognitive Radio Networks
Author :
Ming Wu ; Tiecheng Song ; Lianfeng Shen ; Ziyan Jia
Author_Institution :
Nat. Mobile Commun. Res. Lab., Southeast Univ., Nanjing, China
Abstract :
A novel cooperative spectrum sensing approach is introduced based on a approximate model of the power spectral density (PSD) map in space and frequency domain. This scheme uses a model coefficients estimator based the theory of Variational Bayesian Inference. It reveals the unknown positions of transmitting CRs and the spectrum holes in authorized frequency bands, by capitalizing on the forms of sparsity in Cognitive Radio Networks.
Keywords :
belief networks; cognitive radio; cooperative communication; inference mechanisms; radio spectrum management; cognitive radio networks; model coefficients estimator; power spectral density map; variational Bayesian Inference based cooperative spectrum sensing; Bayes methods; Cognitive radio; Coherence; Niobium; Sensors; Transmitters; Vectors; cognitive radio; cooperative spectrum sensing; power spectral density map; sparse estimation; variational bayesian inference;
Conference_Titel :
Consumer Electronics (GCCE), 2014 IEEE 3rd Global Conference on
Conference_Location :
Tokyo
DOI :
10.1109/GCCE.2014.7031310
