A heuristic network selection method for V2X achieves near-optimal utility in under 15 milliseconds, outperforming MILP and Q-learning baselines in simulation.
Research on Enhancing C-V2X Communication via Danger-Aware Vehicular Networking
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abstract
This paper presents a protocol that optimizes message dissemination in C-V2X technology, crucial for advancing intelligent transportation systems (ITS) aimed at enhancing road safety. As vehicle density and velocity rise, the volume of data requiring communication significantly increases. By considering the risk levels that vehicles encounter and using inter-vehicle proximity as a key indicator of potential hazards, the proposed protocol prioritizes communication, allowing vehicles facing higher risks to transmit their messages first. Our results show that this prioritization effectively reduces the number of concurrent transmissions, leading to improved performance metrics such as packet delivery ratio, throughput, latency, and lower probabilities of channel congestion and collision.
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Adaptive Network Selection for Latency-Aware V2X Systems under Varying Network and Vehicle Densities
A heuristic network selection method for V2X achieves near-optimal utility in under 15 milliseconds, outperforming MILP and Q-learning baselines in simulation.