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Distributed collaborative spectrum sensing has been considered for Cognitive Radio (CR) in order to cope with fading and shadowing effects that affect a single CR performance, without the communication overhead of centralized cooperation through a fusion center. In this paper, we consider collaborative spectrum sensing by a distributed network of CRs from sub-Nyquist samples to overcome the sampling...
Cognitive Radio (CR) challenges the traditional task of spectrum sensing with requirements of reliability, efficiency and real-time. Sub-Nyquist sampling has been considered for this task in order to cope with the sampling rate bottleneck of the wideband signals a CR usually deals with, by exploiting their multiband structure. However, communication signals suffer from fading and shadowing effects...
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