Multi-access Network Leveraging Edge Computing for Energy-efficient, Ultra-reliable, and Low Latency Services


Albert Rafel, BT Applied Research, UK; Kota Asaka, NTT Access Service Systems and Labs, Japan; Anna Tzanakaki, University of Athens, Greece


This symposium covers "Network Edge" considerations to address multi-access, open access and disaggregated architectures. These are expected to adopt comprehensive Artificial Intelligence (AI) approaches to support predictive and optimized Real Time (RT) and Near-RT operation, automation, and improved user experience.

Ultra-Reliable Low Latency (URLL) type of services require Network Edge compute applications support, i.e., compute & storage capabilities at the edge of the network. This requirement introduces the need for:

  • Multi-access technology support (i.e., fixed, mobile & wi-fi) in a disaggregated architecture
  • System technologies to minimize transport latency (e.g., TSN switching, CO-DBA PON, RT/Near-RT latency monitoring, etc.)
  • AI techniques for predictive operations to attain RT/Near-RT response
  • AI techniques for automation and optimization to increase user experience

However, distributed edge computing brings about several challenges:

  • Increased Energy consumption
  • Optimal resource (equipment) planning and allocation
  • Unavailability of equipment accommodation facilities
  • Guaranteeing ultra-low latency service delivery through NFV architectural models
  • Dynamic/automatic reconfiguration with predictive, RT/Near-RT performance monitoring operating in a distributed manner

Achim Autenrieth, ADVA Optical Networking, Germany
AI Techniques for Automation and Optimization to Increase User Experience

Dominique Chiaroni, Nokia Bell Labs, France
Energy Efficiency in Multi-access Technologies with a Disaggregated Architecture

Mischa Dohler, Ericsson, USA
6G and The Internet of Skills

Hiroshi Ou, Nippon Telegraph and Telephone Corporation, Japan
SLA-aware Real Time Control Technology Across Optical and Mobile Networks

Clara Qian Li, Intel Corporation, USA
Evolution of Network Edge Leveraging Disaggregated Architecture for Supporting Multi-access Network

Theodore Sizer, Nokia Bell Labs, USA
The Pandemic and 5G: The Lasting Impact on Optical Networks and Edge Computing

Gefan Zhou, China Telecom Corporation, China
Edge Computing and Computing Power Network Aiming at Achieving the Optimal Allocation and Deployment of Computing and Storage Resources