Joint DNN partition and resource allocation optimization for energy-constrained hierarchical edge-cloud systems

Y Su, W Fan, L Gao, L Qiao, Y Liu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Hierarchical edge-cloud systems collaboratively utilize the resources of both the edge server
and central cloud, enabling deep neural network (DNN) partition between the edge and …

Deep reinforcement learning for time-energy tradeoff online offloading in MEC-enabled industrial Internet of Things

X Jiao, H Ou, S Chen, S Guo, Y Qu… - … on Network Science …, 2023 - ieeexplore.ieee.org
Mobile edge computing (MEC) has recently emerged as a promising technology to boost the
integration ability of sensing, transmission and computation in industrial Internet of Things …

Multi-UAV-assisted computation offloading in DT-based networks: A distributed deep reinforcement learning approach

J Shi, C Li, Y Guan, P Cong, J Li - Computer Communications, 2023 - Elsevier
Abstract In the industrial Internet, Mobile Edge Computing (MEC) can provide the ability to
transfer a large number of delay-sensitive and compute-intensive tasks to MEC servers, thus …

Multi-agent reinforcement learning for distributed resource allocation in cell-free massive MIMO-enabled mobile edge computing network

FD Tilahun, AT Abebe, CG Kang - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
To support the newly introduced multimedia services with ultra-low latency and extensive
computation requirements, resource-constrained end-user devices should utilize the …

Computation offloading and resource allocation in F-RANs: A federated deep reinforcement learning approach

L Zhang, Y Jiang, FC Zheng… - 2022 IEEE international …, 2022 - ieeexplore.ieee.org
The fog radio access network (F-RAN) is a promising technology in which the user mobile
devices (MDs) can offload computation tasks to the nearby fog access points (F-APs). Due to …

[HTML][HTML] Edge intelligence in private mobile networks for next-generation railway systems

SM Asad, A Tahir, RNB Rais, S Ansari… - Frontiers in …, 2021 - frontiersin.org
The integration of Private Mobile Networks (PMN) with edge intelligence is expected to play
an instrumental role in realizing the next generation of industry applications. This …

Selfish-aware and learning-aided computation offloading for edge-cloud collaboration network

P Zhao, Z Yang, Y Mu, G Zhang - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Mobile-edge computing (MEC) raises the problem of selfish user devices that utilize less
computing resources than expected to execute offloading tasks or maliciously discard …

Task offloading and resource allocation for tasks with varied requirements in mobile edge computing networks

L Dong, W He, H Yao - Electronics, 2023 - mdpi.com
Edge computing enables devices with insufficient computing resources to offload their tasks
to the edge for computing, to improve the service experience. Some existing work has …

Health, security and fire safety process optimisation using intelligence at the edge

O D'Souza, SC Mukhopadhyay, M Sheng - Sensors, 2022 - mdpi.com
The proliferation of sensors to capture parametric measures or event data over a myriad of
networking topologies is growing exponentially to improve our daily lives. Large amounts of …

A collaborative task offloading scheme in vehicular edge computing

MS Bute, P Fan, G Liu, F Abbas… - 2021 IEEE 93rd …, 2021 - ieeexplore.ieee.org
The increase of mobile applications in the internet of vehicles (IoVs), necessitates the
demand for higher computation capabilities. Vehicles can transfer related applications to …