On the Double-Generalized Gamma Statistics and Their Application to the Performance Analysis of V2V Communications
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DOI: 10.1109/tcomm.2017.2757466
Abstract: Important statistical properties of the double-generalized Gamma (dGG) distribution are studied in this paper. The dGG distribution is suitable for modeling non-homogeneous double-scattering radio propagation fading conditions, which can be frequently observed in vehicle-to-vehicle (V2V)… read more here.
Keywords: generalized gamma; v2v communications; performance; dgg distribution ... See more keywords
Theoretical Broadcast Rate Optimization for V2V Communications at Intersection
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DOI: 10.1109/tmc.2021.3051956
Abstract: Cooperative vehicle safety (CVS) systems have been receiving significant attention as key enablers of important intelligent transportation system (ITS) applications, such as cooperative collision warning, emergency braking, and auto driving. In CVS systems, vehicles periodically… read more here.
Keywords: communications intersection; v2v communications; broadcast; rate ... See more keywords
Evolutionary Game Based Strategy Selection for Hybrid V2V Communications
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DOI: 10.1109/tvt.2021.3132025
Abstract: Vehicle-to-vehicle (V2V) communications is an important technology in vehicular ad hoc network (VANET) to support autonomous data exchange among vehicles. Multiple V2V communications modes have been investigated for VANET, including dedicated short-range communications (DSRC) based… read more here.
Keywords: selection hybrid; v2v communications; strategy; hybrid v2v ... See more keywords
Safety of Automatic Emergency Braking in Platooning
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DOI: 10.1109/tvt.2021.3138939
Abstract: A platoon comprises a string of consecutive highly automated vehicles traveling together. Platooning allows for increased road utilization and reduced fuel consumption due to short inter-vehicular distances. Safety in terms of guaranteeing no rear-end collisions… read more here.
Keywords: emergency; safety; v2v communications; vehicle ... See more keywords
Scheduling Out-of-Coverage Vehicular Communications Using Reinforcement Learning
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DOI: 10.1109/tvt.2022.3186910
Abstract: Performance of vehicle-to-vehicle (V2V) communications depends highly on the employed scheduling approach. While centralized network schedulers offer high V2V communication reliability, their operation is conventionally restricted to areas with full cellular network coverage. In contrast,… read more here.
Keywords: coverage; network; v2v communications; reinforcement learning ... See more keywords