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 ...
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 ...
Power Efficient User Cooperative Computation to Maximize Completed Tasks in MEC Networks. Resource URI: https://dblp.l3s.de/d2r/resource/publications/conf ...
Abstract: As the extension of cloud computing, multi-access edge computing (MEC) can better support applications to accomplish larger tasks.
Dec 18, 2024 · Thus, D2D collaborative offloading, as a complement to MEC, effectively enhances the performance of edge networks.
Missing: Cooperative Maximize
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.
Oct 22, 2024 · Mobile Edge Computing (MEC) integrated with Wireless Power Transfer (WPT) is emerging as a promising solution to reduce task delays and extend ...