The number of completed tasks is maximized while minimizing the total power consumption of the UEs by jointly optimizing the user task offloading decision, the ...
The number of completed tasks is maximized while minimizing the total power consumption of the UEs by jointly optimizing the user task offloading decision, the ...
The simulation results show that the proposed user cooperative computation scheme can achieve a higher completed tasks ratio than the non-cooperative scheme ...
Power Efficient User Cooperative Computation to Maximize Completed Tasks in MEC Networks. Resource URI: https://dblp.l3s.de/d2r/resource/publications/conf ...
Jul 20, 2023 · Mobile edge computing (MEC) can address this challenge by offloading tasks to edge servers with stronger computing capacity and more resources ...
Power Efficient User Cooperative Computation to Maximize Completed Tasks in MEC Networks by Yijin Pan, Cunhua Pan, Kezhi Wang, Huiling Zhu, Jiangzhou.
Mobile edge computing (MEC) is a promising paradigm that helps mobile terminals save energy and increase battery life by offloading tasks to MEC servers.
This study focuses on the problem of maximizing energy efficiency in a user-cooperation WPT-MEC network by jointly considering stochastic task arrival and ...
Aug 3, 2024 · This research introduces a hybrid methodology integrating deep learning with Cybertwin-driven resource allocation to enhance energy-efficient workload ...
Missing: Cooperative | Show results with:Cooperative
The above works illustrate that the combination of MEC and NOMA can significantly improve user offloading efficiency while reducing system energy consumption.