面向大规模分布式边缘计算的增强型协同车载通信

Esraa M. Ghourab, M. Azab, M. F. Feteiha, A. Yasser
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鉴于移动计算、雾计算和边缘计算的巨大进步,解决与网络相关的挑战成为迫切的需求。车载云将传统的计算架构改变为更加分布式、协作性和松耦合的结构。然而,目前的网络和通信基础设施并不能支持这种建设。车载网络必须设计成能够承受快速移动和突然变化,以有效地支持托管服务。本文研究了智能协同车辆网络中传输模式的分集增益顺序。此外,我们制定了先进的车载中继技术,以增强网络连通性,更好地服务于托管云服务。大量的仿真和分析表明,所提出的无线通信模型能够显著提高分集增益阶数,从而使通信链路更加稳定和有弹性。
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Enhanced Cooperative Vehicular Communication for larger-scale Distributed Edge Computing
Given the vast advancements in mobile, fog, and edge computing, addressing network related challenges became a desperate demand. Vehicular clouds changed the conventional computing architectures to a more distributed, cooperative, and loosely-coupled construction. However, the current network and communication infrastructures are not designed to support such construction. Vehicular networks must be designed to tolerate fast movements and sudden changes to efficiently support to the hosted services. In this paper, we investigate the diversity gain order of the transmission mode over the smart cooperative vehicle network. Moreover, we formulate an advanced vehicular relaying technique to enhance the network connectivity to better serve the hosted cloud services. Extensive simulations and analysis showed that the presented wireless communication model presents a enabled a considerable enhancement in diversity gain orders which leads to a more stable and resilient communication links.
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