Edge-V : Enabling Vehicular Edge Intelligence in Unlicensed Spectrum Bands
Edge-V : Enabling Vehicular Edge Intelligence in Unlicensed Spectrum Bands
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DOI：
10.1109/vtc2023-spring57618.2023.10199660
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发表时间：
2023-06
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影响因子：
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通讯作者：
F. Raviglione;C. Casetti;Francesco Restuccia
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作者：
F. Raviglione;C. Casetti;Francesco Restuccia
无线网络的前沿进展将很快实现新一代更安全、更智能、更自动化的汽车。这些车辆将依赖于复杂的深度学习（DL）任务的实时执行，以及道路用户之间的高速多媒体流，以实现导航目的。完全依赖蜂窝网络（i）给已经过度拥挤和昂贵的许可频谱带来不必要的负担;（ii）将边缘卸载任务的延迟增加到车辆应用无法忍受的水平。除了使用适当的网络基础设施外，车辆还需要支持车载和卸载的合作情报。在此基础上，我们提出了Edge-V，这是第一个实现实际车辆边缘智能和高速车辆连接的框架，仅使用未授权频段。通过DSRC链路，Edge-V可获取实时本地化知识，并协调点对点毫米波（mmWave）技术的使用，以在车辆之间提供高带宽连接。Edge-V还预见到，如果板载计算资源不足，可以进行智能卸载。我们在真实世界的实验室测试平台中对Edge-V进行了原型设计和评估，显示了它在蜂窝和基于云的方法方面的优势。
Cutting-edge advances in wireless networking will soon enable a new generation of safer, smarter, and more autonomous vehicles. These vehicles will rely on real-time execution of complex Deep Learning (DL) tasks as well as high-speed multimedia streaming between road users for navigation purposes. Relying entirely on cellular networks (i) puts an unnecessary burden on an already overcrowded and expensive licensed spectrum; (ii) increases the latency of edge-offloaded tasks to intolerable levels for vehicular applications. Alongside the usage of a proper network infrastructure, vehicles will need to support on-board and offloaded cooperative intelligence. On this basis, we propose Edge-V , the first framework enabling practical vehicular edge intelligence and high-speed vehicular connectivity, using only unlicensed spectrum bands. Through a DSRC link, Edge-V acquires real-time localized knowledge, and coordinates the use of point-to-point millimeter Wave (mmWave) technologies to deliver high-bandwidth connectivity between vehicles. Edge-V also foresees smart offloading if on-board computing resources are insufficient. We prototype and evaluate Edge-V in a real-world laboratory testbed, showing its advantages with respect to cellular and cloud-based approaches.