Deep Reinforcement Learning-based Edge Discovery within the 3GPP Framework for C- ITS

Malik Muhammad Saad; Muhammad Ashar Tariq; Mahnoor Ajmal; Donghyun Jeon; Jinhong Kim; Kil Taek Lim; Jang Woon Baek; Dongkyun Kim

doi:10.1109/ICUFN61752.2024.10624860

Deep Reinforcement Learning-based Edge Discovery within the 3GPP Framework for C- ITS

Malik Muhammad Saad, Muhammad Ashar Tariq, Mahnoor Ajmal, Donghyun Jeon, Jinhong Kim, Kil Taek Lim, Jang Woon Baek, Dongkyun Kim

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

With the evolution of edge computing, addressing challenges within the framework of the Third Generation Part-nership Project (3GPP) standard has garnered attention. In particular, challenges such as edge discovery and relocation, session management function (SMF) selection, and edge lifecycle man-agement pose significant hurdles in providing seamless services, especially in advanced Cooperative Intelligent Transportation Systems (C- ITS). This paper proposes an intelligent solution for edge discovery tailored to continuously provision C- ITS services to users within the 3G PP framework. Leveraging deep reinforcement learning (DRL), our proposed algorithm facilitates optimal edge discovery based on specific user requirements.

Original language	English
Title of host publication	ICUFN 2024 - 15th International Conference on Ubiquitous and Future Networks
Publisher	IEEE Computer Society
Pages	416-421
Number of pages	6
ISBN (Electronic)	9798350385298
DOIs	https://doi.org/10.1109/ICUFN61752.2024.10624860
State	Published - 2024
Event	15th International Conference on Ubiquitous and Future Networks, ICUFN 2024 - Hybrid, Hungary, Hungary Duration: 2 Jul 2024 → 5 Jul 2024

Publication series

Name	International Conference on Ubiquitous and Future Networks, ICUFN
ISSN (Print)	2165-8528
ISSN (Electronic)	2165-8536

Conference

Conference	15th International Conference on Ubiquitous and Future Networks, ICUFN 2024
Country/Territory	Hungary
City	Hybrid, Hungary
Period	2/07/24 → 5/07/24

Keywords

Cooperative Intelligent Transportation Systems (C-ITS)
Edge Computing
Edge Discovery

Access to Document

10.1109/ICUFN61752.2024.10624860

Cite this

Saad, M. M., Tariq, M. A., Ajmal, M., Jeon, D., Kim, J., Lim, K. T., Baek, J. W., & Kim, D. (2024). Deep Reinforcement Learning-based Edge Discovery within the 3GPP Framework for C- ITS. In ICUFN 2024 - 15th International Conference on Ubiquitous and Future Networks (pp. 416-421). (International Conference on Ubiquitous and Future Networks, ICUFN). IEEE Computer Society. https://doi.org/10.1109/ICUFN61752.2024.10624860

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abstract = "With the evolution of edge computing, addressing challenges within the framework of the Third Generation Part-nership Project (3GPP) standard has garnered attention. In particular, challenges such as edge discovery and relocation, session management function (SMF) selection, and edge lifecycle man-agement pose significant hurdles in providing seamless services, especially in advanced Cooperative Intelligent Transportation Systems (C- ITS). This paper proposes an intelligent solution for edge discovery tailored to continuously provision C- ITS services to users within the 3G PP framework. Leveraging deep reinforcement learning (DRL), our proposed algorithm facilitates optimal edge discovery based on specific user requirements.",

keywords = "Cooperative Intelligent Transportation Systems (C-ITS), Edge Computing, Edge Discovery",

author = "Saad, {Malik Muhammad} and Tariq, {Muhammad Ashar} and Mahnoor Ajmal and Donghyun Jeon and Jinhong Kim and Lim, {Kil Taek} and Baek, {Jang Woon} and Dongkyun Kim",

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doi = "10.1109/ICUFN61752.2024.10624860",

language = "English",

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Saad, MM, Tariq, MA, Ajmal, M, Jeon, D, Kim, J, Lim, KT, Baek, JW & Kim, D 2024, Deep Reinforcement Learning-based Edge Discovery within the 3GPP Framework for C- ITS. in ICUFN 2024 - 15th International Conference on Ubiquitous and Future Networks. International Conference on Ubiquitous and Future Networks, ICUFN, IEEE Computer Society, pp. 416-421, 15th International Conference on Ubiquitous and Future Networks, ICUFN 2024, Hybrid, Hungary, Hungary, 2/07/24. https://doi.org/10.1109/ICUFN61752.2024.10624860

Deep Reinforcement Learning-based Edge Discovery within the 3GPP Framework for C- ITS. / Saad, Malik Muhammad; Tariq, Muhammad Ashar; Ajmal, Mahnoor et al.
ICUFN 2024 - 15th International Conference on Ubiquitous and Future Networks. IEEE Computer Society, 2024. p. 416-421 (International Conference on Ubiquitous and Future Networks, ICUFN).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Saad MM, Tariq MA, Ajmal M, Jeon D, Kim J, Lim KT et al. Deep Reinforcement Learning-based Edge Discovery within the 3GPP Framework for C- ITS. In ICUFN 2024 - 15th International Conference on Ubiquitous and Future Networks. IEEE Computer Society. 2024. p. 416-421. (International Conference on Ubiquitous and Future Networks, ICUFN). doi: 10.1109/ICUFN61752.2024.10624860

Deep Reinforcement Learning-based Edge Discovery within the 3GPP Framework for C- ITS

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