Wireless Edge Computing With Latency and Reliability Guarantees

被引:102
作者
Elbamby, Mohammed S. [1 ]
Perfecto, Cristina [2 ]
Liu, Chen-Feng [1 ]
Park, Jihong [1 ]
Samarakoon, Sumudu [1 ]
Chen, Xianfu [3 ]
Bennis, Mehdi [1 ,4 ]
机构
[1] Univ Oulu, Ctr Wireless Commun, Oulu 90014, Finland
[2] Univ Basque Country, UPV EHU, Dept Commun Engn, Bilbao 48013, Spain
[3] VTT Tech Res Ctr Finland, Oulu 90571, Finland
[4] Kyung Hee Univ, Dept Comp Sci & Engn, Seoul 17104, South Korea
基金
芬兰科学院; 欧盟地平线“2020”;
关键词
Edge computing; edge intelligence; URLLC; vehicle-to-everything; virtual reality; MILLIMETER-WAVE COMMUNICATIONS; MOBILE COMMUNICATIONS; CONNECTED VEHICLES; 5G; NETWORKS; COMMUNICATION; CHALLENGES; PARADIGM; SYSTEMS; ACCESS;
D O I
10.1109/JPROC.2019.2917084
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Edge computing is an emerging concept based on distributed computing, storage, and control services closer to end network nodes. Edge computing lies at the heart of the fifth-generation (5G) wireless systems and beyond. While the current state-of-the-art networks communicate, compute, and process data in a centralized manner (at the cloud), for latency and compute-centric applications, both radio access and computational resources must be brought closer to the edge, harnessing the availability of computing and storage-enabled small cell base stations in proximity to the end devices. Furthermore, the network infrastructure must enable a distributed edge decision-making service that learns to adapt to the network dynamics with minimal latency and optimize network deployment and operation accordingly. This paper will provide a fresh look to the concept of edge computing by first discussing the applications that the network edge must provide, with a special emphasis on the ensuing challenges in enabling ultrareliable and low-latency edge computing services for mission-critical applications such as virtual reality (VR), vehicle-to-everything (V2X), edge artificial intelligence (AI), and so on. Furthermore, several case studies where the edge is key are explored followed by insights and prospect for future work.
引用
收藏
页码:1717 / 1737
页数:21
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