In this paper, we propose a game theoretic approach for joint offloading and resource allocation optimization (JORAO) problem in mobile edge computing (MEC) ...
Abstract—In this paper, we propose a game theoretic approach for joint offloading and resource allocation optimization (JO-. RAO) problem in mobile edge ...
Jun 29, 2022 · In this work, we aim to minimize the total energy consumption subject to the service latency requirement by jointly optimizing the task offloading ratio and ...
In [61] , the authors proposed a game theoretic scheme for joint computational offloading and resource allocation in mobile edge computing. They formulated an ...
Jan 2, 2024 · This paper presents a deep reinforcement learning (DRL)-based approach for the joint optimization of offloading and resource allocation in hybrid cloud and ...
Mar 15, 2023 · Joint computation offloading and resource allocation for d2d-assisted mobile edge computing. IEEE Trans. Serv. Comput. (2022). Google Scholar.
Joint Offloading and Resource Allocation Optimization for Mobile ...
dl.acm.org › GLOCOM.2017.8254634
Dec 4, 2017 · In this paper, we propose a game theoretic approach for joint offloading and resource allocation optimization (JORAO) problem in mobile edge ...
We propose a lightweight and multi-criteria task offloading decision method, which tackles all elements dynamically based on their current values.
This paper aims to minimize the energy consumption of the entire end-devices while ensuring the task completion delay, by optimizing the devices' offloading ...
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Apr 18, 2022 · This article focuses on solving the problem of computing resource allocation for multiple mobile users of a UAV, an edge server, and a remote ...