Feb 17, 2021 � We propose two hybrid approaches that learn offloading strategy with DQN (opt-DQN) or Q-table (opt-QL) at each user equipment (UE).

These observations demonstrate that the hybrid approach that combines the advantages of both QL and convex optimization is a promising design for a multi-user�...

Feb 3, 2021 � To solve this mixed-integer non-convex problem, we propose two hybrid approaches that learn offloading strategy with DQN (opt-DQN) or Q-table (�...

A hybrid DQN and optimization approach for strategy and resource allocation in MEC networks. YC Wu, TQ Dinh, Y Fu, C Lin, TQS Quek. IEEE Transactions on�...

A hybrid DQN and optimization approach for strategy and resource allocation in MEC networks. YC Wu, TQ Dinh, Y Fu, C Lin, TQS Quek. IEEE Transactions on�...

A Hybrid DQN and Optimization Approach for Strategy and Resource Allocation in MEC Networks. Article. Full-text available. Feb 2021. Yi-Chen Wu�...

Sep 24, 2024 � We explore the system with multiple MEC servers and UEs to optimize the task offloading and resource allocation strategy, subject to the task deadline and�...

Apr 20, 2023 � This paper investigates a non-orthogonal multiple access (NOMA)-aided mobile edge computing (MEC) network with multiple sources and one computing access point�...

This work surveys the state of the art in different categorizations of algorithm-based computational task offloading and resource allocation strategies�...

Sep 4, 2024 � We introduce the significance of our proposed hybrid approach integrating Deep Q-Networks (DQN), Bidirectional Long Short-Term Memory Networks (�...