NDLI: Cooperative Spectrum Sensing in a Realistic Cognitive Radio Environment

Content Provider	IEEE Xplore Digital Library
Author	Liza, J. Muthumeenakshi, K. Radha, S.
Copyright Year	2011
Description	Author affiliation: Department of Electronics and Communication Engineering, SSN College of Engineering, Rajiv Gandhi Salai, Kalavakkam-603110, Chennai, Tamilnadu, India (Liza, J.; Muthumeenakshi, K.; Radha, S.)
Abstract	Cognitive Radio is a novel technology that has the potential to deal with the requirement and scarcity of the underutilized radio spectrum. A remedy to spectrum scarcity is to improve spectrum utilization by spectrum sensing where the secondary unlicensed users are allowed to access the underutilized licensed bands when the primary licensed users are inactive. Cooperative Spectrum Sensing (CSS) is done by collaboratively detecting the spectrum holes by Energy Detection technique to improve the spectrum sensing performance. In most existing contributions each Cognitive Radio reports their local sensing results to a Cognitive Base Station (CBS) for a final decision where the reporting channel is considered as an ideal error free channel. In this paper a realistic cooperative spectrum sensing network is designed where the reporting channels from the cognitive radios (CRs) to the CBS are affected by Additive White Gaussian Noise (AWGN) and Rayleigh fading. To minimize the effects caused by these channel uncertainties an optimal Minimum Mean Square Error (MMSE) detector is used to improve the detection performance under realistic spectrum sensing environment. Simulation results investigating the performance degradation incurred by considering realistic reporting channels is analysed and presented in various practical scenarios.
Starting Page	375
Ending Page	379
File Size	349777
Page Count	5
File Format	PDF
ISBN	9781457705885
e-ISBN	9781457705908
DOI	10.1109/ICRTIT.2011.5972388
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-06-03
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	AWGN Cooperative Spectrum Sensing Cognitive Radio Energy Detection Detectors Rayleigh channels Cognitive radio Signal to noise ratio
Content Type	Text
Resource Type	Article

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