Stochastic geometric analysis in cooperative vehicular networks under Weibull fading
Wang, Y; Liu, F; Wang, C; et al.Wang, P; Ji, Y
Date: 29 September 2019
Journal
IEEE Access
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Publisher DOI
Abstract
We study the performance of a cooperative vehicular communication system in a highway
traffic scenario, where the locations of co-channel interfering vehicles are modeled by a one-dimensional
Poisson point process (PPP). Wireless channel modeling campaigns have shown that the statistical patterns
of vehicle-to-vehicle (V2V) channels ...
We study the performance of a cooperative vehicular communication system in a highway
traffic scenario, where the locations of co-channel interfering vehicles are modeled by a one-dimensional
Poisson point process (PPP). Wireless channel modeling campaigns have shown that the statistical patterns
of vehicle-to-vehicle (V2V) channels can often be modeled by the Weibull distribution. Due to the complex
characteristics of random fading and interference, system performance analysis is involved. To address
this issue, we establish a framework for performance analysis in vehicular networks under Weibull fading
and one-dimensional Poisson field of interference, where the Weibull probability density function (PDF)
is approximated by a finite exponential mixture. By this means, the approximation expressions of the
successful/unsuccessful message transmission probabilities for both direct V2V communication and the
three-node cooperative vehicular communication are derived through stochastic geometry. Monte-Carlo
simulations verify the accuracy of our derivation, as well as the advantages of encouraging cooperation
among vehicles. Our methods and results can potentially be used to facilitate stochastic geometric analysis
in many other complex vehicular networks under Weibull fading
Computer Science
Faculty of Environment, Science and Economy
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