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AI-driven Closed-loop Automation in 5G and beyond Mobile Networks

Published: 23 August 2021 Publication History

Abstract

The 5th Generation (5G) mobile networks support a wide range of services that impose diverse and stringent QoS requirements. This will be further exacerbated with the evolution towards 6th Generation mobile networks. Inevitably, 5G and beyond mobile networks must provide stricter, differentiated QoS guarantees to meet the increasing demands of future applications, which cannot be satisfied with traditional human-in-the-loop service orchestration and network management approaches. In this paper, we lay out our vision for closed-loop service orchestration and network management of 5G and beyond mobile networks. We extend the MAPE (i.e., monitor, analyze, plan, and execute) control loop to facilitate closed-loop automation, and discuss the quintessential role of Artificial Intelligence/Machine Learning in its realization. We also instigate open research challenges for closed-loop automation of 5G and beyond mobile networks.

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      cover image ACM Conferences
      FlexNets '21: Proceedings of the 4th FlexNets Workshop on Flexible Networks Artificial Intelligence Supported Network Flexibility and Agility
      August 2021
      66 pages
      ISBN:9781450386340
      DOI:10.1145/3472735
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Publication History

      Published: 23 August 2021

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      Author Tags

      1. 5G
      2. artificial intelligence
      3. closed-loop orchestration and management
      4. machine learning

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      SIGCOMM '21
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      SIGCOMM '21: ACM SIGCOMM 2021 Conference
      August 23, 2021
      Virtual Event, USA

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      • (2025)Digital Twin Backed Closed-Loops for Energy-Aware and Open RAN-Based Fixed Wireless Access Serving Rural AreasIEEE Transactions on Mobile Computing10.1109/TMC.2024.348298524:3(1669-1683)Online publication date: Mar-2025
      • (2024)6G autonomous radio access network empowered by artificial intelligence and network digital twinFrontiers of Information Technology & Electronic Engineering10.1631/FITEE.2400569Online publication date: 28-Dec-2024
      • (2024)Bottleneck Identification in Cloudified Mobile Networks Based on Distributed TelemetryIEEE Transactions on Mobile Computing10.1109/TMC.2023.331205123:5(5660-5676)Online publication date: May-2024
      • (2024)Renewable Energy Powered and Open RAN-Based Architecture for 5G Fixed Wireless Access Provisioning in Rural AreasIEEE Transactions on Green Communications and Networking10.1109/TGCN.2024.34319898:3(994-1007)Online publication date: Sep-2024
      • (2024)Management Closed Control Loop Automation for Improved RAN Slice Performance by SubslicingIEEE Access10.1109/ACCESS.2024.343347512(103082-103095)Online publication date: 2024
      • (2023)Coordinated Slicing and Admission Control Using Multi-Agent Deep Reinforcement LearningIEEE Transactions on Network and Service Management10.1109/TNSM.2022.322258920:2(1110-1124)Online publication date: Jun-2023
      • (2023)Trust and Performance in Future AI-Enabled, Open, Multi-Vendor Network Management AutomationIEEE Transactions on Network and Service Management10.1109/TNSM.2022.321429620:2(995-1007)Online publication date: 1-Jun-2023
      • (2023)AI-Driven Framework for Scalable Management of Network SlicesIEEE Communications Magazine10.1109/MCOM.005.230014761:11(216-222)Online publication date: Nov-2023
      • (2023)5G Network Management Framework for Improved Customer Experience using Artificial Intelligence and Big data2023 4th International Conference for Emerging Technology (INCET)10.1109/INCET57972.2023.10170728(1-6)Online publication date: 26-May-2023
      • (2023)Digital Twin Assisted Closed-Loops for Energy-Efficient Open RAN-Based Fixed Wireless Access Provisioning in Rural AreasGLOBECOM 2023 - 2023 IEEE Global Communications Conference10.1109/GLOBECOM54140.2023.10437288(6285-6290)Online publication date: 4-Dec-2023
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