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Adaptive Cooperative Spectrum Sensing Using Group Intelligence

Author(s): Rajagopal Sreenivasan | Sasirekha GVK | Jyotsna Bapat

Journal: International Journal of Computer Networks & Communications
ISSN 0975-2293

Volume: 3;
Issue: 3;
Start page: 31;
Date: 2011;
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Keywords: Group Intelligence | Cognitive Adhoc Networks | Opportunistic Spectrum Access | Co-operative Spectrum Sensing

Opportunistic Spectrum Access in Cognitive Radios (CRs) calls for efficient and accurate spectrumsensing mechanism that provides the CR network with current spectral occupancy information. For a CRusing energy detection for spectrum sensing, exact knowledge of Signal to Noise Ratio (SNR) at thereceiver is crucial for determination of the decision threshold. This threshold in turn determines theprobability of error (Probability of missed detection and probability of false alarm). In this paper, aninnovative technique is proposed wherein spectral occupancy decisions from different CRs are combinedand used as a training signal to adapt the local decision threshold. Each CR trains itself such that itsdecision is in alignment with other CRs in the network. Same can be looked at from group intelligenceperspective where, multiple users, each with incomplete information, can learn from the group’s wisdomto reach a supposedly correct conclusion. Simulations under Rayleigh fading show probability of error atpar with other co-operative spectrum sensing techniques albeit at lower complexity levels. We also probeinto the accuracy of those decisions with standard techniques from a Cognitive Network perspective toprove the wisdom in group knowledge.
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