PHY-Layer Modeling and Throughput-Driven Adaptation for Batteryless V2X Networks
This paper investigates a packetized batteryless V2X overlay architecture in which a dedicated short-range communications (DSRC)-based packet simultaneously carries conventional V2X data and a passive overlay payload, and proposes a multi-agent reinforcement learning (MARL)-based adaptive parameter-selection method.