VRLS: A Unified Reinforcement Learning Scheduler for Vehicle-to-Vehicle Communications

22 Jul 2019Taylan ŞahinRamin KhaliliMate BobanAdam Wolisz

Vehicle-to-vehicle (V2V) communications have distinct challenges that need to be taken into account when scheduling the radio resources. Although centralized schedulers (e.g., located on base stations) could be utilized to deliver high scheduling performance, they cannot be employed in case of coverage gaps... (read more)

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