Spectrum sensing-energy tradeoff in multi-hop cluster based cooperative cognitive radio networks

2014 ◽  
Author(s):  
Ahmed S. B. Kozal ◽  
Madjid Merabti ◽  
Faycal Bouhafs
Keyword(s):  
Cognitive Radio ◽  
Spectrum Sensing ◽  
Cognitive Radio Networks ◽  
Radio Networks ◽  
Cooperative Cognitive Radio Networks

scholarly journals Compressive spectrum sensing using two-stage scheme for cognitive radio networks

2020 ◽  
Vol 10 (6) ◽  
pp. 5899
Author(s):  
Montadar Abas Taher ◽  
Mohammad Z. Ahmed ◽  
Emad Hmood Salman
Keyword(s):  
Cognitive Radio ◽  
Spectrum Sensing ◽  
Cognitive Radio Networks ◽  
Radio Networks ◽  
Discrete Wavelet ◽  
Cooperative Cognitive Radio Networks ◽  
Fifth Generation ◽  
Wideband Signals ◽  
Stage Scheme ◽  
High Level

The modern applications of communications that use wideband signals suffer the lacking since the resources of this kind of signals are limited especially for fifth generation (5G). The Compressive Spectrum Sensing (COMPSS) techniques address such issues to reuse the detected signals in the networks and applications of 5G. However, the raw techniques of COMPSS have low compression ratio and high computational complexity rather than high level of noise variance. In this paper, a hybrid COMPSS scheme has been developed for both non-cooperative and cooperative cognitive radio networks. The proposed scheme compiles on discrete wavelet transform – single resolution (DWT-SR) cascaded with discrete cosine transform (DCT). The first is constructed according to the pyramid algorithm to achieve 50% while the second performed 30% compression ratios. The simulation and analytic results reveal the significant detection performance of the proposed technique is better than that of the raw COMPSS techniques.

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