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Rastogi, E, Maheshwari, MK and Jeong, JP (2024) Intelligent O-RAN-Based Proactive Handover in Vehicular Networks. In: 2023 14th International Conference on Information and Communication Technology Convergence (ICTC) . pp. 481-486. (2023 14th International Conference on Information and Communication Technology Convergence (ICTC), 11th Oct - 13th Oct 2023, Jeju Island, Republic of Korea).
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Intelligent_O_RAN_based_Proactive_Handover_20230516_v1.pdf - Accepted Version Download (258kB) | Preview |
Abstract
The ongoing efforts of wireless service providers to build a Radio Access Network (RAN) architecture have been noted in recent years. The primary goal was to design an operator-defined RAN architecture capable of providing intelligent radio control for Fifth-Generation (5G) wireless networks as well as Beyond 5G (B5G). The Open Radio Access Network (O-RAN) Alliance was formed to transform the telecommunications ecosystem. In this paper, we propose an intelligent O-RAN framework for vehicle communication. We propose a Machine Learning (ML)-based model to predict the compatibility time during which a vehicle remains within communication range with another vehicle to establish a connection. We compare the performance of Gaussian Naive Bayes (GNB), K Nearest Neighbor (KNN), and Neural Networks (NN) in terms of training and testing accuracy. We believe compatibility time estimation helps to implement proactive forwarding for optimal network performance. Finally, we conclude our work by providing directions for future research.
| Item Type: | Conference or Workshop Item (Paper) |
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| Additional Information: | © 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Computer Science & Mathematics |
| Publisher: | IEEE |
| SWORD Depositor: | A Symplectic |
| Date Deposited: | 24 Sep 2024 14:13 |
| Last Modified: | 24 Sep 2024 14:13 |
| DOI or ID number: | 10.1109/ictc58733.2023.10392738 |
| URI: | https://researchonline.ljmu.ac.uk/id/eprint/24204 |
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