Deep Learning for Intelligent and Automated Network Slicing in 5G Open RAN (ORAN) Deployment
5G and beyond networks are considered a catalyst for emerging IoT applications and services by providing ultra-reliable connectivity and massive connections to billions of IoT sensors and devices. However, the scalable deployment of such services requires reduced cost, an open ecosystem for IoT appl...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2024-01-01
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| Series: | IEEE Open Journal of the Communications Society |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10335921/ |
| _version_ | 1826957887703875584 |
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| author | Shu-Ping Yeh Sonia Bhattacharya Rashika Sharma Hassnaa Moustafa |
| author_facet | Shu-Ping Yeh Sonia Bhattacharya Rashika Sharma Hassnaa Moustafa |
| author_sort | Shu-Ping Yeh |
| collection | DOAJ |
| description | 5G and beyond networks are considered a catalyst for emerging IoT applications and services by providing ultra-reliable connectivity and massive connections to billions of IoT sensors and devices. However, the scalable deployment of such services requires reduced cost, an open ecosystem for IoT application developers and service providers, and a multi-tenant deployment model enabling the 5G and beyond network infrastructure to host multiple IoT services while preserving the service level agreement (SLA) requirements. AI brings intelligence to the network infrastructure to automate several network functions and predict the service’s workload to ensure network function scaling and adaptation. 5G brings AI to the radio access network (RAN) to reduce the operation cost, decrease power consumption and boost service quality. With this evolution towards AI-based features in the network, the Open RAN (ORAN) specification expanded the network functions virtualization to the RAN intelligence by introducing RAN Intelligent Controller (RIC) to enable AI applications for the network functions. This paper focuses on the RAN intelligence ecosystem and presents an intelligent network application (xApp) for network slicing for the RAN using AI and Deep Learning techniques. We evaluated the xApp with a near Real-Time RAN Intelligent Controller (near-RT RIC) and showed the network slicing functionality in an automated and intelligent fashion. We show how intelligent network slicing enables emerging IoT services to co-exist while meeting the required SLAs. |
| first_indexed | 2024-03-08T19:36:38Z |
| format | Article |
| id | doaj.art-b36680f36e11431b99a862684bc50da5 |
| institution | Directory Open Access Journal |
| issn | 2644-125X |
| language | English |
| last_indexed | 2025-02-18T00:28:22Z |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Open Journal of the Communications Society |
| spelling | doaj.art-b36680f36e11431b99a862684bc50da52024-11-29T00:02:28ZengIEEEIEEE Open Journal of the Communications Society2644-125X2024-01-015647010.1109/OJCOMS.2023.333785410335921Deep Learning for Intelligent and Automated Network Slicing in 5G Open RAN (ORAN) DeploymentShu-Ping Yeh0https://orcid.org/0000-0001-5255-2681Sonia Bhattacharya1https://orcid.org/0009-0003-4307-5491Rashika Sharma2Hassnaa Moustafa3https://orcid.org/0000-0001-8097-5059Intel Labs, Intel Corporation, Santa Clara, CA, USANetwork and Edge Group, Intel Corporation, Bengaluru, IndiaNetwork and Edge Group, Intel Corporation, Bengaluru, IndiaIntel Labs, Intel Corporation, Santa Clara, CA, USA5G and beyond networks are considered a catalyst for emerging IoT applications and services by providing ultra-reliable connectivity and massive connections to billions of IoT sensors and devices. However, the scalable deployment of such services requires reduced cost, an open ecosystem for IoT application developers and service providers, and a multi-tenant deployment model enabling the 5G and beyond network infrastructure to host multiple IoT services while preserving the service level agreement (SLA) requirements. AI brings intelligence to the network infrastructure to automate several network functions and predict the service’s workload to ensure network function scaling and adaptation. 5G brings AI to the radio access network (RAN) to reduce the operation cost, decrease power consumption and boost service quality. With this evolution towards AI-based features in the network, the Open RAN (ORAN) specification expanded the network functions virtualization to the RAN intelligence by introducing RAN Intelligent Controller (RIC) to enable AI applications for the network functions. This paper focuses on the RAN intelligence ecosystem and presents an intelligent network application (xApp) for network slicing for the RAN using AI and Deep Learning techniques. We evaluated the xApp with a near Real-Time RAN Intelligent Controller (near-RT RIC) and showed the network slicing functionality in an automated and intelligent fashion. We show how intelligent network slicing enables emerging IoT services to co-exist while meeting the required SLAs.https://ieeexplore.ieee.org/document/10335921/5GAIIoTnetwork slicingO-RANRAN intelligence |
| spellingShingle | Shu-Ping Yeh Sonia Bhattacharya Rashika Sharma Hassnaa Moustafa Deep Learning for Intelligent and Automated Network Slicing in 5G Open RAN (ORAN) Deployment IEEE Open Journal of the Communications Society 5G AI IoT network slicing O-RAN RAN intelligence |
| title | Deep Learning for Intelligent and Automated Network Slicing in 5G Open RAN (ORAN) Deployment |
| title_full | Deep Learning for Intelligent and Automated Network Slicing in 5G Open RAN (ORAN) Deployment |
| title_fullStr | Deep Learning for Intelligent and Automated Network Slicing in 5G Open RAN (ORAN) Deployment |
| title_full_unstemmed | Deep Learning for Intelligent and Automated Network Slicing in 5G Open RAN (ORAN) Deployment |
| title_short | Deep Learning for Intelligent and Automated Network Slicing in 5G Open RAN (ORAN) Deployment |
| title_sort | deep learning for intelligent and automated network slicing in 5g open ran oran deployment |
| topic | 5G AI IoT network slicing O-RAN RAN intelligence |
| url | https://ieeexplore.ieee.org/document/10335921/ |
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