基于LTE-V的车辆编队通信性能评估
Performance Evaluation for LTE-V based Vehicle-to-Vehicle Platooning Communication
摘要：
随着自动驾驶需求的不断提高，车对车通信成为未来智能交通系统的关键技术。基于我们目前的知识领域，有有限的网络模拟器，可以支持基于LTE-V的车辆到车辆排队系统的端到端性能评估。为了解决这个问题，我们从一个集成的平台，结合流量发生器和网络模拟器在一起，并建立根据LTE-V规范的V2 V传输能力。在此基础上，我们模拟了不同层的端到端吞吐量和延迟分布，以比较不同配置的排队系统。通过数值实验，我们表明LTE-V系统无法在车辆排队场景中支持阴影效应下的最高自动化程度，这需要在5G网络中实现超可靠的低延迟通信增强。同时，车辆排队的吞吐量和延迟性能在PDCP层中发生了显着变化，我们认为有必要进一步改进。
英文摘要：
With the raising demand for autonomous driving, vehicle-to-vehicle communications becomes a key technology enabler for the future intelligent transportation system. Based on our current knowledge field, there is limited network simulator that can support end-to-end performance evaluation for LTE-V based vehicle-to-vehicle platooning systems. To address this problem, we start with an integrated platform that combines traffic generator and network simulator together, and build the V2V transmission capability according to LTE-V specification. On top of that, we simulate the end-to-end throughput and delay profiles in different layers to compare different configurations of platooning systems. Through numerical experiments, we show that the LTE-V system is unable to support the highest degree of automation under shadowing effects in the vehicle platooning scenarios, which requires ultra-reliable low-latency communication enhancement in 5G networks. Meanwhile, the throughput and delay performance for vehicle platooning changes dramatically in PDCP layers, where we believe further improvements are necessary.
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