Joint offloading decision and resource allocation for mobile edge computing enabled networks

Y Liao, L Shou, Q Yu, Q Ai, Q Liu - Computer Communications, 2020 - Elsevier
Mobile edge computing (MEC) based solutions are essential and of great significance for a
wide range of promising 5G wireless big data services such as remote healthcare systems …

Joint offloading and resource allocation in mobile edge computing systems: An actor-critic approach

Z Zhang, FR Yu, F Fu, Q Yan… - 2018 IEEE global …, 2018 - ieeexplore.ieee.org
Offloading computationally intensive tasks from user equipments (UEs) to mobile edge
computing (MEC) servers is a promising technique to boost up the computational capacity of …

Efficient computation offloading for multi-access edge computing in 5G HetNets

H Guo, J Liu, J Zhang - 2018 IEEE International Conference on …, 2018 - ieeexplore.ieee.org
To meet the mobile devices' surging demands for throughput and computation resources in
5G networks, heterogeneous networks (HetNets) and multi-access edge computing (MEC) …

Joint computation offloading and user association in multi-task mobile edge computing

Y Dai, D Xu, S Maharjan… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Computation intensive and delay-sensitive applications impose severe requirements on
mobile devices of providing required computation capacity and ensuring latency. Mobile …

[PDF][PDF] Energy-efficient task offloading, load balancing, and resource allocation in mobile edge computing enabled IoT networks

S Li, D Zhai, P Du, T Han - Science China. Information Sciences, 2019 - scis.scichina.com
Dear editor, The constraints on energy supply for smart mobile devices (SMDs) have
obstructed the development of IoT. Mobile edge computing (MEC)[1] is a promising way to …

Joint computation offloading and resource allocation under task-overflowed situations in mobile-edge computing

H Tang, H Wu, Y Zhao, R Li - IEEE Transactions on Network …, 2021 - ieeexplore.ieee.org
With the rapid development of Artificial Intelligence (AI) and Internet of Things (IoT), we have
to perform increasingly more resource-hungry and compute-intensive applications on IoT …

Joint channel allocation and resource management for stochastic computation offloading in MEC

J Ren, KM Mahfujul, F Lyu, S Yue… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
To accommodate ever-increasing computational workloads while satisfying the
requirements of delay-sensitive tasks, mobile edge computing (MEC) is proposed to offload …

Joint offloading and resource allocation using deep reinforcement learning in mobile edge computing

X Zhang, X Zhang, W Yang - IEEE Transactions on Network …, 2022 - ieeexplore.ieee.org
Mobile edge computation offloading (MECO) has recently emerged as a promising method
to support computation-intensive and latency-sensitive applications, significantly saving the …

Joint computation offloading and task caching for multi-user and multi-task MEC systems: reinforcement learning-based algorithms

IA Elgendy, WZ Zhang, H He, BB Gupta… - Wireless …, 2021 - Springer
Computation offloading at mobile edge computing (MEC) servers can mitigate the resource
limitation and reduce the communication latency for mobile devices. Thereby, in this study …

Online distributed offloading and computing resource management with energy harvesting for heterogeneous MEC-enabled IoT

S Xia, Z Yao, Y Li, S Mao - IEEE Transactions on Wireless …, 2021 - ieeexplore.ieee.org
With the rapid development and convergence of the mobile Internet and the Internet of
Things (IoT), computing-intensive and delay-sensitive IoT applications (APPs) are …