Algorithm for Resource Allocation and Computing Offloading in 6G Networks: Deep Reinforcement Learning-based
Mamoon M. Saeed, Rashid A. Saeed, Elmustafa Sayed Ali, Rania A. Mokhtar, Othman Omran Khalifa
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.