2013 · 14 citations · 13 references
ComputingCommunicationComputer ScienceComputer NetworksDistributed SystemsWireless CommunicationsCognitive RadioConsensus AlgorithmsDistributed ConsensusMobile Ad Hoc NetworksSpectrum ManagementWireless NetworksAd Hoc NetworksChannel Quality Performance AnalysisCognitive Radio NetworksNetwork CapacityScalabilitySpectrum EfficiencyToken Ring AlgorithmsToken Ring Networks
Cognitive Radio Ad Hoc Network (CRAHN) is an emergent paradigm in wireless communications that brings the promise of mitigating the well-known scalability problems of classical Mobile Ad Hoc Networks (MANETs). By integrating in its architecture novel dynamic spectrum access algorithms, the CRAHN is expected to increase usage efficiency of available spectrum resources. However, the performance of such algorithms, distributed and cooperative in its nature, is tightly coupled with the existence of a signaling layer, or common control channel (CCC), that is established between neighboring Cognitive Radios (CRs). In this paper we propose a Distributed Consensus Algorithm to address the problem of distributed CCC allocation in CRAHNs. The proposed solution defines a token ring architecture for the CCC and introduces an additional feature, the token-embedded pilot-tone, used by the consensus algorithm to derive a channel quality metric. Through a simulation study of the Distributed Consensus Algorithm, we evaluate its performance for different network scenarios; the results show a significant increase of network capacity and spectrum efficiency when compared to a sequence-based rendezvous scheme.
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The capacity of wireless networks
Piyush Gupta, P. R. Kumar · IEEE Transactions on Information Theory · 2000 · 8.4K citations
A Survey of Dynamic Spectrum Access
Qing Zhao, Brian M. Sadler · IEEE Signal Processing Magazine · 2007 · 2.7K citations
CRAHNs: Cognitive radio ad hoc networks
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Distributed coordination in dynamic spectrum allocation networks
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