TY - JOUR
T1 - Wireless Edge Computing With Latency and Reliability Guarantees
AU - Elbamby, Mohammed S.
AU - Perfecto, Cristina
AU - Liu, Chen Feng
AU - Park, Jihong
AU - Samarakoon, Sumudu
AU - Chen, Xianfu
AU - Bennis, Mehdi
N1 - This work was supported in part by CWC, Academy of Finland, through the CARMA Project, under Grant 294128, in part by the 6Genesis Flagship under Grant 318927, in part by the Kvantum Institute Strategic Project (SAFARI), in part by the Spanish MINECO through the Project 5RANVIR under Grant TEC2016-80090-C2-2-R, and in part by the (VTT) Academy of Finland thorough the MISSION Project under Grant 319759. The work of C. Perfecto was supported in part by the European Commission through the H2020 5G-PPP Project ESSENCE under Grant Agreement 761592.
PY - 2019/8
Y1 - 2019/8
N2 - 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.
AB - 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.
KW - Decision making
KW - Edge computing
KW - edge intelligence
KW - Mission critical systems
KW - Reliability
KW - Servers
KW - Task analysis
KW - URLLC
KW - vehicle-to-everything
KW - virtual reality.
KW - Wireless communication
UR - http://www.scopus.com/inward/record.url?scp=85067606386&partnerID=8YFLogxK
U2 - 10.1109/JPROC.2019.2917084
DO - 10.1109/JPROC.2019.2917084
M3 - Article
AN - SCOPUS:85067606386
VL - 107
SP - 1717
EP - 1737
JO - Proceedings of the IEEE
JF - Proceedings of the IEEE
SN - 0018-9219
IS - 8
ER -