Jun 9, 2020 · In this paper, we propose to design a decentralized coordination scheme to orchestrate MUs and EgSvrs for scheduling computation tasks to their ...

Extensive simulation results demonstrate that our decentralized coordination scheme can improve the performance significantly and converge to a stable state ...

An efficient task-VM matching algorithm that jointly considers task execution time and energy consumption is developed and it is proved the stability of the ...

由于许多此类移动应用程序都是计算密集型的，因此移动边缘计算（MEC）是一种有前途的计算范式，可以提供按需计算资源（即虚拟机（VM）），被认为可以采用来允许MU卸载其 ...

Dec 9, 2024 · To solve the proposed offloading problem, we develop an advanced deep reinforcement learning algorithm using a double-dueling Q-network.

This study aims to maximize the computation power of a mobile edge computing enabled dense network.

In this paper, we propose an intelligent system integrating blockchain technologies, 5G ENs, and FL to create an efficient and secure framework for transactions ...

Simulation results show that compared with the existing schemes, the proposed scheme can significantly reduce the delay of computation offloading and resource ...

Oct 10, 2023 · In this paper, we suggest a new NOMA-based MEC wireless blockchain network to minimize system energy consumption through task offloading decision optimization.

In a fast-changing environment where a UE moves randomly, the authors developed a novel UE-oriented computation offloading strategy to reduce system delay under ...