LLP-V2X: Low Latency-Power Vehicular Networking Towards 6G V2X
Zhaoyu Liu, Liu Cao, Lyutianyang Zhang, Dongyu Wei, Ye Hu, Weizheng Wang

TL;DR
This paper introduces LLP-V2X, a novel vehicular networking approach for 6G that optimizes traffic routing and power to achieve low latency and power consumption, validated through simulations.
Contribution
It proposes a multi-hop, multi-path V2X framework with joint traffic splitting and power control, formalizes optimization problems, and designs a scheduler for adaptive mode switching.
Findings
Effective low-latency, low-power communication demonstrated in simulations.
The proposed algorithm switches between modes based on network demands.
Formal problem formulations provide theoretical foundations for optimization.
Abstract
The trade-off between energy and latency budgets is becoming significant due to the more stringent QoS requirements in 6G vehicular networks. However, comprehensively studying the trade-off between energy and latency budgets for 6G vehicular network with new Vehicle-to-Everything (V2X) features is still under-explored. This paper proposes a novel multi-hop, multi-path vehicular networking that jointly optimizes vehicular traffic splitting across candidate routes and per-link transmit power to achieve low-latency and low-power communications. Afterwards, we formalize two complementary problem formulations (minimum latency and minimum power) based on the proposed 6G V2X architecture and provide sufficient conditions. The performance of the proposed scheme is evaluated via well-designed simulations. Based on these theories, we design algorithm (LLP MHMP Scheduler) that switches on demand…
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Taxonomy
TopicsVehicular Ad Hoc Networks (VANETs) · Age of Information Optimization · IoT and Edge/Fog Computing
