基于WPT-MEC 的动态自适应卸载方法
苏麟， 党小超， 郝占军， 汝春瑞， 尚旭 - 物联网学报 - infocomm-journal.com
针对动态衰落时变的信道状态信息, 为解决多用户的任务卸载和资源优化问题,
将无线电能传输(WPT, wireless power transmission) 技术和移动边缘计算(MEC, mobile edge …
将无线电能传输(WPT, wireless power transmission) 技术和移动边缘计算(MEC, mobile edge …
[HTML][HTML] ArticlesWireless Power Assisted Computation Offloading in Mobile Edge Computing: A Deep Reinforcement Learning Approach
One of the missions of mobile edge computing (MEC) is to develop innovative applications
in closer proximity while preserving latency constraints. Integration of MEC with the …
in closer proximity while preserving latency constraints. Integration of MEC with the …
iCOS: A deep reinforcement learning scheme for wireless-charged MEC networks
Computation offloading is an effective method in mobile edge computing (MEC) to relieve
user equipment (UE) from the limited computation resource and battery capacity …
user equipment (UE) from the limited computation resource and battery capacity …
Deep reinforcement learning based computation offloading in SWIPT-assisted MEC networks
Computation offloading is an effective method to relieve user equipment (UE) from the
limited battery capacity and computation resource in mobile edge computing (MEC) …
limited battery capacity and computation resource in mobile edge computing (MEC) …
[PDF][PDF] Wireless Power Assisted Computation Offloading in Mobile Edge Computing: A Deep Reinforcement Learning Approach
One of the missions of mobile edge computing (MEC) is to develop innovative applications
in closer proximity while preserving latency constraints. Integration of MEC with the …
in closer proximity while preserving latency constraints. Integration of MEC with the …
Learning-based computation offloading for IoT devices with energy harvesting
Internet of Things (IoT) devices can apply mobile edge computing (MEC) and energy
harvesting (EH) to provide high-level experiences for computational intensive applications …
harvesting (EH) to provide high-level experiences for computational intensive applications …
A continuous policy learning approach for hybrid offloading in backscatter communication
In wireless powered communication networks (WPCNs), wireless devices (WDs) can offload
tasks to edge server by both passive backscatter and active transmission with low or even …
tasks to edge server by both passive backscatter and active transmission with low or even …
Energy-Delay Tradeoff for Online Offloading Based on Deep Reinforcement Learning in Wireless Powered Mobile-Edge Computing Networks.
W Zhonglin, CAO Hankai, Z Ping… - Journal of Donghua …, 2020 - search.ebscohost.com
Benefited from wireless power transfer (WPT) and mobile-edge computing (MEC), wireless
powered MEC systems have attracted widespread attention. Specifically, we design an …
powered MEC systems have attracted widespread attention. Specifically, we design an …
Deep Q-Learning for Minimum Task Drop in SWIPT-Enabled Mobile-Edge Computing
M Bolourian, H Shah-Mansouri - IEEE Wireless …, 2024 - ieeexplore.ieee.org
In this letter, we study mobile-edge computing (MEC) systems empowered with
simultaneous wireless information and power transfer (SWIPT). This holds promise to meet …
simultaneous wireless information and power transfer (SWIPT). This holds promise to meet …
[HTML][HTML] 基于SWIPT 的D2D 通信辅助移动边缘计算任务卸载策略
杜利俊， 李陶深， 黄翊芯， 漆治君 - 2023 - gxkx.ijournals.cn
为解决5G 移动通信系统中移动用户计算能力不足, 能量消耗多, 无线资源缺乏等问题,
本文构建一种基于无线携能通信(Simultaneous Wireless Information and Power Transfer …
本文构建一种基于无线携能通信(Simultaneous Wireless Information and Power Transfer …