Jun 25, 2024 · In this paper, a task type-based task offloading and resource allocation strategy is proposed to reduce delay and energy consumption during task execution.
In this paper, a task type-based task offloading and resource allocation strategy is proposed to reduce delay and energy consumption during task execution.
Jun 30, 2024 · We propose a federated reinforcement learning (FedRL) solution to innovate resource allocation in converged access networks. FedRL lowers ...
We proposed a task offloading method with the power control considering dynamic channel interference and conditions in a vehicular environment.
In this article, we formulate the joint optimization problem of task offloading and resource allocation to minimize the energy consumption of all Internet of ...
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Federated deep reinforcement learning for task offloading and resource allocation in mobile edge computing-assisted vehicular networks.
Oct 3, 2023 · We propose the federated deep reinforcement learning-based online task offloading and resource allocation (FD-OTR) algorithm to address the task offloading in ...
Jan 4, 2024 · The MEC can offload the tasks generated by the vehicle to the MEC server to mitigate the computational constraints on the mobile vehicle.
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Sep 22, 2024 · We propose a fast machine learning assisted capacity optimization in a point-to-point link of an elastic optical network using a reinforcement ...
Vehicular edge computing (VEC) is an emerging technology that enables vehicles to perform high-intensity tasks by executing tasks locally or offloading them to ...