AI/ML Enabled Automation System for Software Defined Disaggregated Open Radio Access Networks: Transforming Telecommunication Business
Open Air Interface (OAI) alliance recently introduced a new disaggregated Open Radio Access Networks (O-RAN) framework for next generation telecommunications and networks. This disaggregated architecture is open, automated, software defined, virtual, and supports the latest advanced technologies lik...
Saved in:
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Tsinghua University Press
2024-06-01
|
| Series: | Big Data Mining and Analytics |
| Subjects: | |
| Online Access: | https://www.sciopen.com/article/10.26599/BDMA.2023.9020033 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832569358706016256 |
|---|---|
| author | Sunil Kumar |
| author_facet | Sunil Kumar |
| author_sort | Sunil Kumar |
| collection | DOAJ |
| description | Open Air Interface (OAI) alliance recently introduced a new disaggregated Open Radio Access Networks (O-RAN) framework for next generation telecommunications and networks. This disaggregated architecture is open, automated, software defined, virtual, and supports the latest advanced technologies like Artificial Intelligence (AI) Machine Learning (AI/ML). This novel intelligent architecture enables programmers to design and customize automated applications according to the business needs and to improve quality of service in fifth generation (5G) and Beyond 5G (B5G). Its disaggregated and multivendor nature gives the opportunity to new startups and small vendors to participate and provide cheap hardware software solutions to keep the market competitive. This paper presents the disaggregated and programmable O-RAN architecture focused on automation, AI/ML services, and applications with Flexible Radio access network Intelligent Controller (FRIC). We schematically demonstrate the reinforcement learning, external applications (xApps), and automation steps to implement this disaggregated O-RAN architecture. The idea of this research paper is to implement an AI/ML enabled automation system for software defined disaggregated O-RAN, which monitors, manages, and performs AI/ML-related services, including the model deployment, optimization, inference, and training. |
| format | Article |
| id | doaj-art-d5a0add25d7943c1926dbae8011fac2f |
| institution | Kabale University |
| issn | 2096-0654 |
| language | English |
| publishDate | 2024-06-01 |
| publisher | Tsinghua University Press |
| record_format | Article |
| series | Big Data Mining and Analytics |
| spelling | doaj-art-d5a0add25d7943c1926dbae8011fac2f2025-02-02T22:18:05ZengTsinghua University PressBig Data Mining and Analytics2096-06542024-06-017227129310.26599/BDMA.2023.9020033AI/ML Enabled Automation System for Software Defined Disaggregated Open Radio Access Networks: Transforming Telecommunication BusinessSunil Kumar0Institute for Communication Systems, University of Surrey, Guildford, GU2 7XH, UKOpen Air Interface (OAI) alliance recently introduced a new disaggregated Open Radio Access Networks (O-RAN) framework for next generation telecommunications and networks. This disaggregated architecture is open, automated, software defined, virtual, and supports the latest advanced technologies like Artificial Intelligence (AI) Machine Learning (AI/ML). This novel intelligent architecture enables programmers to design and customize automated applications according to the business needs and to improve quality of service in fifth generation (5G) and Beyond 5G (B5G). Its disaggregated and multivendor nature gives the opportunity to new startups and small vendors to participate and provide cheap hardware software solutions to keep the market competitive. This paper presents the disaggregated and programmable O-RAN architecture focused on automation, AI/ML services, and applications with Flexible Radio access network Intelligent Controller (FRIC). We schematically demonstrate the reinforcement learning, external applications (xApps), and automation steps to implement this disaggregated O-RAN architecture. The idea of this research paper is to implement an AI/ML enabled automation system for software defined disaggregated O-RAN, which monitors, manages, and performs AI/ML-related services, including the model deployment, optimization, inference, and training.https://www.sciopen.com/article/10.26599/BDMA.2023.9020033open radio access networks (o-ran)flexible radio access network intelligent controller (fric)reinforcement learning (rl)external applications (xapps)artificial intelligence (ai)machine learning (ml), sixth generation (6g) |
| spellingShingle | Sunil Kumar AI/ML Enabled Automation System for Software Defined Disaggregated Open Radio Access Networks: Transforming Telecommunication Business Big Data Mining and Analytics open radio access networks (o-ran) flexible radio access network intelligent controller (fric) reinforcement learning (rl) external applications (xapps) artificial intelligence (ai) machine learning (ml), sixth generation (6g) |
| title | AI/ML Enabled Automation System for Software Defined Disaggregated Open Radio Access Networks: Transforming Telecommunication Business |
| title_full | AI/ML Enabled Automation System for Software Defined Disaggregated Open Radio Access Networks: Transforming Telecommunication Business |
| title_fullStr | AI/ML Enabled Automation System for Software Defined Disaggregated Open Radio Access Networks: Transforming Telecommunication Business |
| title_full_unstemmed | AI/ML Enabled Automation System for Software Defined Disaggregated Open Radio Access Networks: Transforming Telecommunication Business |
| title_short | AI/ML Enabled Automation System for Software Defined Disaggregated Open Radio Access Networks: Transforming Telecommunication Business |
| title_sort | ai ml enabled automation system for software defined disaggregated open radio access networks transforming telecommunication business |
| topic | open radio access networks (o-ran) flexible radio access network intelligent controller (fric) reinforcement learning (rl) external applications (xapps) artificial intelligence (ai) machine learning (ml), sixth generation (6g) |
| url | https://www.sciopen.com/article/10.26599/BDMA.2023.9020033 |
| work_keys_str_mv | AT sunilkumar aimlenabledautomationsystemforsoftwaredefineddisaggregatedopenradioaccessnetworkstransformingtelecommunicationbusiness |