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In cognitive vehicular networks (CVNs), the connectivity between any cognitive vehicle (CV) and roadside unit (RSU) relies not only on the communication links between them but also on the detection of the idle spectrum. Although cognitive radio (CR) technology has been widely studied in 5G communications, its influence on connectivity, particularly in CVNs, has been seldom discussed.
In this paper, probability theory is adopted to deduce the connectivity probabilities of CVNs by analyzing the cognitive and communication characteristics of CVs, so as to unveil the correlations between network connectivity and the channel environment together with road traffic factors. In particular, to demonstrate the impact of cognitive and vehicular capacity on connectivity performance, two traffic scenarios with different vehicular transmission coverages and relay behaviors are discussed.
Simulation results present the variation of connectivity probabilities with different signal-to-noise ratios (SNRs), coverage ranges of both RSUs and CVs, and the densities of CVs. It can be found that the improvement of channel environment leads to better network connectivity, thus demonstrating the significant impact of cognitive activities on the connectivity of CVNs.
Full Article: IEEE Transactions on Vehicular Technology, Early Access
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