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

被引：0

作者：

Kartsakli, Elli ^{[1
]}

Perez-Romero, Jordi ^{[2
]}

Sallent, Oriol ^{[2
]}

Bartzoudis, Nikolaos ^{[3
]}

Frascolla, Valerio ^{[4
]}

Mohalik, Swarup Kumar ^{[5
]}

Metsch, Thijs ^{[4
]}

Antonopoulos, Angelos ^{[6
]}

Tuna, Ömer Faruk ^{[7
]}

Deng, Yansha ^{[8
]}

Tao, Xin

Serrano, Maria A. ^{[6
]}

Quinones, Eduardo ^{[1
]}

机构：

[1] Barcelona Supercomp Ctr, Barcelona, Spain

[2] Tech Univ Catalonia UPC, Signal Theory & Commun Dpt, Barcelona, Spain

[3] Telecommun Technol Ctr Catalonia CTTC, Barcelona, Spain

[4] Intel Deutschland GmbH, Neubiberg, Germany

[5] Ericsson Res, Artificial Intelligence, Stockholm, Sweden

[6] Nearby Comp, Barcelona, Spain

[7] Ericsson Res, Istanbul, Turkiye

[8] Kings Coll London, London, England

来源：

2023 JOINT EUROPEAN CONFERENCE ON NETWORKS AND COMMUNICATIONS & 6G SUMMIT, EUCNC/6G SUMMIT | 2023年

关键词：

Edge computing; AI/ML-based optimization; security and trustworthiness; B5G/6G evolution; edge-cloud compute continuum; closed-loop automation;

D O I：

10.1109/EUCNC/6GSUMMIT58263.2023.10188371

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：478 / 483

页数：6

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