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 Reinforcement Learning-Based Adaptive Offloading Algorithm for Wireless Power Transfer-Aided Mobile Edge Computing
X Wu, X Yan, S Yuan, C Li - 2024 IEEE Wireless …, 2024 - ieeexplore.ieee.org
Mobile Edge Computing (MEC), as a real-time computing paradigm extended to the network
edge, has been widely adopted. In recent years, Wireless Power Transfer-Aided Mobile …
edge, has been widely adopted. In recent years, Wireless Power Transfer-Aided Mobile …
[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 …
[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 …
Online learning for distributed computation offloading in wireless powered mobile edge computing networks
A novel paradigm named Wireless Powered Mobile Edge Computing (WP-MEC) emerges
recently, which integrates Mobile Edge Computing (MEC) and Wireless Power Transfer …
recently, which integrates Mobile Edge Computing (MEC) and Wireless Power Transfer …
Reinforcement learning for intelligent online computation offloading in wireless powered edge networks
The method of charging mobile devices with wireless power transfer (WPT) from the base
station (BS) integrated with mobile edge computing (MEC) increases the potential of MEC …
station (BS) integrated with mobile edge computing (MEC) increases the potential of MEC …
Deep reinforcement learning empowers wireless powered mobile edge computing: Towards energy-aware online offloading
Deep integration of wireless power transmission and mobile edge computing (MEC)
promotes wireless powered MEC to become a new research hotspot in the field of Internet of …
promotes wireless powered MEC to become a new research hotspot in the field of Internet of …
DRL based partial offloading for maximizing sum computation rate of FDMA-based wireless powered mobile edge computing
Abstract Since most Internet of Things (IoT) nodes are powered by small-capacity batteries
and equipped with small computing units, it is difficult for them to process computing …
and equipped with small computing units, it is difficult for them to process computing …
Task delay minimization in wireless powered mobile edge computing networks: A deep reinforcement learning approach
With the emergence of a large number of intelligent terminals, the network is facing severe
challenges such as insufficient resources, limited bandwidth and environmental pollution …
challenges such as insufficient resources, limited bandwidth and environmental pollution …
Deep reinforcement learning for online computation offloading in wireless powered mobile-edge computing networks
Wireless powered mobile-edge computing (MEC) has recently emerged as a promising
paradigm to enhance the data processing capability of low-power networks, such as …
paradigm to enhance the data processing capability of low-power networks, such as …