LLP-V2X: Low Latency-Power Vehicular Networking Towards 6G V2X
Zhaoyu Liu, Liu Cao, Lyutianyang Zhang, Dongyu Wei, Ye Hu, Weizheng Wang
由于6G车辆网络中QoS要求更加严格,能源和延迟预算之间的权衡正在变得显著。 然而,通过新的车辆到所有车辆(V2X)功能,全面研究6G车辆网络的能源和延迟预算之间的权衡仍然没有得到探索。 本文提出了一种新的多跳多路径车辆网络,共同优化了跨候选路线和每链路传输功率的车辆流量,以实现低延迟和低功耗通信。 之后,我们根据提议的6G V2X架构正式化了两个互补的问题公式(最小延迟和最小功率),并提供了充分的条件。 通过精心设计的模拟评估拟议方案的性能。 基于这些理论,我们设计算法(LLP MHMP Scheduler),在固定功率最小延迟模式和固定延迟最小功率模式之间按需切换。
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 ac...