In this paper, we propose a computation offloading algorithm based on the optimal allocation of satellite resources (CO-SROA) and formulate an objective ...
Therefore, in this paper, we propose a computation offloading algorithm based on the optimal allocation of satellite resources (CO-SROA) and formulate an ...
Jun 1, 2024 · A multi-agent deep reinforcement learning algorithm with global rewards is proposed to optimize the transmit power, CPU frequency, bit allocation, offloading ...
Its computational aspects are analyzed, and a computer program is devised for realizing the algorithm. The method is illustrated by describing the optimal ...
This paper proposes a multi-agent deep reinforcement learning (MADRL) algorithm for making multi-level offloading decisions in LEO satellite networks.
This feature also enables LEO satellites to provide highly flexible and fast FL services. Recently, FL has been widely applied to LEO satellite networks (Chen H ...
Oct 24, 2023 · Therefore, in this paper, we investigate the energy minimization problem for LEO satellite edge computing networks, where a multi-agent deep ...
People also ask
What is computation offloading?
What is the LEO satellite service?
In [19], the authors studied a computation offloading strategy for the SMEC network based on game theory to re- duce the offloading cost of users, where the ...
A deep learning-based offloading algorithm for LEO satellite edge computing networks is proposed to generate offloading decisions through multiple parallel ...
Sep 26, 2024 · The paper presents a comparison between three approaches to solving the length-bounded maximum multicommodity flow problem with unit ...