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We investigate a wireless energy harvesting and information transfer protocol in cognitive relay networks, where an energy harvesting secondary network shares the spectrum as well as harvests energy by assisting the primary transmission. In particular, the secondary transmitter scavenges energy from the received primary signal and then forwards the resulting signals along with the secondary signal...
Cognitive radio networks require fast and reliable spectrum sensing to achieve high network utilization by secondary users. Current optimization approaches to spectrum sensing to-date have focussed on maximizing aggregate throughput while considering only a single parameter variable pertinent to sensing, notably the threshold or duration, but not both. In this work, we consider joint minimization...
Dynamic Spectrum Access (DSA) has the potential to vastly improve spectrum utilizations among heterogeneous networks. We present a continuous-time Markov chain (CT-MC) model to analyze the performance of three co-located cognitive systems with various priority classes and bandwidth requirements. The maximum spectrum utilization and minimum blocking probability are derived in a one-channel band scenario...
Cognitive Radio systems face an important challenge - fast and reliable channel searching to enable secondary users to optimize available spectral resources. We revisit conventional urn models for channel occupancy and analyze the performance of several search schemes in terms of the mean time to detection. In particular, we focus on correlated Markov models for bin occupancy and highlight the performance...
Cognitive radio systems face an important challenge - fast and reliable channel searching to enable secondary users to optimize available spectral resources. We revisit conventional URN models for channel occupancy and analyze the performance of several search schemes in terms of the mean time to detection. In particular, we focus on correlated Markov models for bin occupancy and highlight the performance...
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