Algorithm for resource allocation and computing offloading in 6G networks: deep reinforcement learning-based

Saeed, Mamoon M and Saeed, Rashid A and Ali, Elmustafa Sayed and Mokhtar, Rania A and Khalifa, Othman Omran (2024) Algorithm for resource allocation and computing offloading in 6G networks: deep reinforcement learning-based. In: 9th International Conference on Mechatronics Engineering (ICOM 2024), 13th - 14th August 2024, Kuala Lumpur, Malaysia.

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Abstract

The emergence of the sixth generation (6G) wireless networks brings new challenges and opportunities for efficient computing offloading and resource allocation. This paper proposes a novel Deep Reinforcement Learning-based Computing Offloading and Resource Allocation (DRL-CORA) algorithm for 6G networks. The algorithm leverages the power of deep reinforcement learning to dynamically determine the optimal computing offloading decisions and resource allocation strategies. The Deep Reinforcement Learning-based DCORA algorithm for computation offloading and resource allocation is effective, as demonstrated by our simulations. When compared directly, the suggested DCORA algorithm performs 15% better than other baseline systems.

Item Type:	Proceeding Paper (Plenary Papers)
Additional Information:	4119/114447
Uncontrolled Keywords:	Deep reinforcement learning, resource allocation, network of 6G, computer offloading, mobile edge computing
Subjects:	T Technology > T Technology (General) T Technology > T Technology (General) > T10.5 Communication of technical information T Technology > TK Electrical engineering. Electronics Nuclear engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Electrical and Computer Engineering Kulliyyah of Engineering
Depositing User:	Prof. Dr Othman O. Khalifa
Date Deposited:	17 Sep 2024 14:23
Last Modified:	18 Sep 2024 16:48
URI:	http://irep.iium.edu.my/id/eprint/114447

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