Edge Computing in 5G and Beyond is a promising solution for ultra-low latency applications (e.g., Autonomous Vehicle, Augmented Reality, and Remote Surgery), which have an extraordinarily low tolerance for delay and require fast data processing for a very high volume of data. The requirements of delay-sensitive applications (e.g., Low latency, proximity, and Location/Context-awareness) cannot be satisfied by Cloud Computing due to the high latency between User Equipment and Cloud. Nevertheless, Edge Computing in 5G and beyond can promise ultra-high-speed data processing thanks to the placement of computation capabilities closer to endpoint devices, where 5G encourages the speed rate that is 10 times faster than 4G LTE-Advanced. This paper deeply investigates Edge Computing in 5G and characterizes it based on the requirements of ultra-low latency applications. As a contribution, we propose a hybrid architecture that takes advantage of novel and sustainable technologies (e.g., D2D communication, Massive MIMO, SDN, and NFV) and has major features such as scalability, reliability, and ultra-low latency support. The proposed architecture is evaluated based on agent-based simulations demonstrating that our proposal can satisfy requirements and has the ability to respond to high volume demands with low latency.

中文翻译：

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5G 及以后边缘计算混合架构的设计和仿真

5G 及以后的边缘计算是超低延迟应用（例如，自动驾驶汽车、增强现实和远程手术）的有前途的解决方案，这些应用对延迟的容忍度非常低，并且需要对大量数据进行快速数据处理. 由于用户设备和云之间的高延迟，云计算无法满足延迟敏感应用的要求（例如，低延迟、接近度和位置/上下文感知）。尽管如此，5G 及更高版本的边缘计算可以承诺超高速数据处理，这要归功于将计算功能放置在更靠近端点设备的位置，其中 5G 鼓励速度比 4G LTE-Advanced 快 10 倍。本文深入研究了 5G 中的边缘计算，并根据超低延迟应用的要求对其进行了表征。作为贡献，我们提出了一种混合架构，该架构利用新颖且可持续的技术（例如，D2D 通信、大规模 MIMO、SDN 和 NFV）并具有可扩展性、可靠性和超低延迟支持等主要特性。所提出的架构是基于基于代理的模拟进行评估的，证明我们的提议可以满足要求，并且能够以低延迟响应高容量需求。