Algorithm for resource allocation and computing offloading in 6G networks: deep reinforcement learning-based
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 netw...
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| التنسيق: | Proceeding Paper |
| اللغة: | English |
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IEEE
2024
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| الوصول للمادة أونلاين: | http://irep.iium.edu.my/114447/1/114447_Algorithm%20for%20resource%20allocation.pdf http://irep.iium.edu.my/114447/ https://ieeexplore.ieee.org/document/10652281 |
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my.iium.irep.1144472024-09-18T08:48:59Z http://irep.iium.edu.my/114447/ Algorithm for resource allocation and computing offloading in 6G networks: deep reinforcement learning-based Saeed, Mamoon M Saeed, Rashid A Ali, Elmustafa Sayed Mokhtar, Rania A Khalifa, Othman Omran T Technology (General) T10.5 Communication of technical information TK Electrical engineering. Electronics Nuclear engineering 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. IEEE 2024-09-04 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/114447/1/114447_Algorithm%20for%20resource%20allocation.pdf 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. https://ieeexplore.ieee.org/document/10652281 10.1109/ICOM61675.2024.10652281 |
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Universiti Islam Antarabangsa Malaysia |
| building |
IIUM Library |
| collection |
Institutional Repository |
| continent |
Asia |
| country |
Malaysia |
| content_provider |
International Islamic University Malaysia |
| content_source |
IIUM Repository (IREP) |
| url_provider |
http://irep.iium.edu.my/ |
| language |
English |
| topic |
T Technology (General) T10.5 Communication of technical information TK Electrical engineering. Electronics Nuclear engineering |
| spellingShingle |
T Technology (General) T10.5 Communication of technical information TK Electrical engineering. Electronics Nuclear engineering Saeed, Mamoon M Saeed, Rashid A Ali, Elmustafa Sayed Mokhtar, Rania A Khalifa, Othman Omran Algorithm for resource allocation and computing offloading in 6G networks: deep reinforcement learning-based |
| description |
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. |
| format |
Proceeding Paper |
| author |
Saeed, Mamoon M Saeed, Rashid A Ali, Elmustafa Sayed Mokhtar, Rania A Khalifa, Othman Omran |
| author_facet |
Saeed, Mamoon M Saeed, Rashid A Ali, Elmustafa Sayed Mokhtar, Rania A Khalifa, Othman Omran |
| author_sort |
Saeed, Mamoon M |
| title |
Algorithm for resource allocation and computing offloading in 6G networks: deep reinforcement learning-based |
| title_short |
Algorithm for resource allocation and computing offloading in 6G networks: deep reinforcement learning-based |
| title_full |
Algorithm for resource allocation and computing offloading in 6G networks: deep reinforcement learning-based |
| title_fullStr |
Algorithm for resource allocation and computing offloading in 6G networks: deep reinforcement learning-based |
| title_full_unstemmed |
Algorithm for resource allocation and computing offloading in 6G networks: deep reinforcement learning-based |
| title_sort |
algorithm for resource allocation and computing offloading in 6g networks: deep reinforcement learning-based |
| publisher |
IEEE |
| publishDate |
2024 |
| url |
http://irep.iium.edu.my/114447/1/114447_Algorithm%20for%20resource%20allocation.pdf http://irep.iium.edu.my/114447/ https://ieeexplore.ieee.org/document/10652281 |
| _version_ |
1811679641230901248 |
| score |
13.250246 |