Deep reinforcement learning based computation offloading in SWIPT-assisted MEC networks

C Wan, S Guo, Y Yang - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
Computation offloading is an effective method to relieve user equipment (UE) from the
limited battery capacity and computation resource in mobile edge computing (MEC) …

iCOS: A deep reinforcement learning scheme for wireless-charged MEC networks

C Wan, S Guo, J He, G Liu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Computation offloading is an effective method in mobile edge computing (MEC) to relieve
user equipment (UE) from the limited computation resource and battery capacity …

Deep reinforcement learning empowers wireless powered mobile edge computing: Towards energy-aware online offloading

X Jiao, Y Wang, S Guo, H Zhang, H Dai… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
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 …

Deep deterministic policy gradient based computation offloading in wireless-powered MEC networks

R Liu, X Liu, S Wang, C Yin - 2020 IEEE Globecom Workshops …, 2020 - ieeexplore.ieee.org
With the upsurge of Internet of Things (IoT), mobile edge computing (MEC) and wireless
power transfer (WPT) are becoming promising methods to relieve IoT devices from the …

Computation-efficient offloading and power control for MEC in IoT networks by Meta reinforcement learning

MA Hossain, W Liu, N Ansari - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
Due to the proliferation of devices and the availability of computing servers, mobile-edge
computing (MEC) has gained popularity in executing various computational tasks. MEC …

Modeling on energy-efficiency computation offloading using probabilistic action generating

C Wang, W Lu, S Peng, Y Qu… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
Wireless-powered mobile-edge computing (MEC) emerges as a crucial component in the
Internet of Things (IoTs). It can cope with the fundamental performance limitations of low …

Deep reinforcement learning for online computation offloading in wireless powered mobile-edge computing networks

L Huang, S Bi, YJA Zhang - IEEE Transactions on Mobile …, 2019 - ieeexplore.ieee.org
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 …

Deep reinforcement learning for energy-efficient computation offloading in mobile-edge computing

H Zhou, K Jiang, X Liu, X Li… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Mobile-edge computing (MEC) has emerged as a promising computing paradigm in the 5G
architecture, which can empower user equipments (UEs) with computation and energy …

Reinforcement learning for intelligent online computation offloading in wireless powered edge networks

E Mustafa, J Shuja, K Bilal, S Mustafa, T Maqsood… - Cluster …, 2023 - Springer
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 …

[HTML][HTML] ArticlesWireless Power Assisted Computation Offloading in Mobile Edge Computing: A Deep Reinforcement Learning Approach

M Maray, E Mustafa, J Shuja - hcisj.com
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 …