AI-Powered Edge Computing Evolution for Beyond 5G Communication Networks

E. Kartsakli, J. Pérez-Romero, O. Sallent, N. Bartzoudis, Valerio Frascella, S. Mohalik, Thiis Metsch, A. Antonopoulos, Ömer Faruk Tuna, Yansha Deng, Xin Tao, M. A. Serrano, E. Quiñones
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引用次数: 1

Abstract

Edge computing is a key enabling technology that is expected to play a crucial role in beyond 5G (B5G) and 6G communication networks. By bringing computation closer to where the data is generated, and leveraging Artificial Intelligence (AI) capabilities for advanced automation and orchestration, edge computing can enable a wide range of emerging applications with extreme requirements in terms of latency and computation, across multiple vertical domains. In this context, this paper first discusses the key technological challenges for the seamless integration of edge computing within B5G/6G and then presents a roadmap for the edge computing evolution, proposing a novel design approach for an open, intelligent, trustworthy, and distributed edge architecture.
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超越5G通信网络的ai驱动边缘计算演进
边缘计算是一项关键的使能技术,预计将在超5G (B5G)和6G通信网络中发挥关键作用。通过使计算更接近数据生成的位置,并利用人工智能(AI)功能实现高级自动化和编排,边缘计算可以在多个垂直领域实现各种新兴应用程序,这些应用程序在延迟和计算方面具有极端要求。在此背景下,本文首先讨论了在B5G/6G中无缝集成边缘计算的关键技术挑战,然后提出了边缘计算发展的路线图,提出了一种开放、智能、可信和分布式边缘架构的新设计方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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