In recent years, multi-access edge computing (MEC) has become a promising technology used in 5G networks based on its ability to offload computational tasks from mobile devices …
S Zhong, S Guo, H Yu, Q Wang - Computer Networks, 2021 - Elsevier
Multi-access edge computing (MEC) as an emerging and promising paradigm can alleviate the physical resource bottlenecks for smart mobile devices, involving storage and …
Q Li, J Zhao, Y Gong - IET communications, 2019 - Wiley Online Library
Mobile edge computing (MEC) is an innovative computing paradigm to enhance the computing capacity of mobile devices (MDs) by offloading computation‐intensive tasks to …
Y Wang, P Lang, D Tian, J Zhou, X Duan… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
Multiaccess edge computing (MEC) is a new paradigm to meet the requirements for low latency and high reliability of applications in vehicular networking. More computation …
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 …
J Zhang, W Xia, F Yan, L Shen - IEEE Access, 2018 - ieeexplore.ieee.org
In this paper, we propose a distributed joint computation offloading and resource allocation optimization (JCORAO) scheme in heterogeneous networks with mobile edge computing …
W Zhan, C Luo, G Min, C Wang, Q Zhu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Mobile Edge Computing (MEC) is a new computing paradigm with great potential to enhance the performance of user equipment (UE) by offloading resource-hungry …
X Yang, X Yu, H Huang, H Zhu - IEEE Access, 2019 - ieeexplore.ieee.org
With the rapid growth of computation demands from mobile applications, mobile-edge computing (MEC) provides a new method to meet requirement of high data rate and high …
In this paper, we consider latency-minimization resource allocation for a multi-user mobile edge computation offloading (MECO) system. First, we develop a novel partial computation …