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

Elli Kartsakli, Jordi Perez-Romero, Oriol Sallent, Nikolaos Bartzoudis, Valerio Frascella, Swarup Kumar Mohalik, Thiis Metsch, Angelos Antonopoulos, Ömer Faruk Tuna, Yansha Deng, Xin Tao, Maria A. Serrano, Eduardo Quiñones

Research output: Contribution to conference typesPaperpeer-review

4 Citations (Scopus)

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.

Original languageEnglish
Pages478-483
Number of pages6
DOIs
Publication statusPublished - 2023
Event2023 Joint European Conference on Networks and Communications and 6G Summit, EuCNC/6G Summit 2023 - Gothenburg, Sweden
Duration: 6 Jun 20239 Jun 2023

Conference

Conference2023 Joint European Conference on Networks and Communications and 6G Summit, EuCNC/6G Summit 2023
Country/TerritorySweden
CityGothenburg
Period6/06/20239/06/2023

Keywords

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

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