Latency optimization for cellular assisted mobile edge computing via non-orthogonal multiple access

L Qian, Y Wu, J Ouyang, Z Shi, B Lin… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
… frequency channel for the NOMA-transmission. We firstly characterize the transmit-… paradigm
of mobile edge computing (MEC) provides an efficient scheme for mobile terminals to obtain …

Multi-access edge computing: A survey

A Filali, A Abouaomar, S Cherkaoui, A Kobbane… - IEEE …, 2020 - ieeexplore.ieee.org
… If a wired link fails, the SDN controller activates a backup … This work could be extended to
include resource scaling, … over its fronthaul link to FRS and the transmission power of FRS over …

A survey of multi-access edge computing in 5G and beyond: Fundamentals, technology integration, and state-of-the-art

QV Pham, F Fang, VN Ha, MJ Piran, M Le, LB Le… - IEEE …, 2020 - ieeexplore.ieee.org
… disadvantages, eg, low scalability, high latency, privacy and … The cloudlet and fog
computing are similar in that cloudlets … , subchannel assignment, power control, and computing …

A stochastic geo-partitioning problem for mobile edge computing

DA Tran, TT Do, T Zhang - … on Emerging Topics in Computing, 2020 - ieeexplore.ieee.org
… migration and improving transmission delay via Transmission Power Control. When there are
cloudlet activation problem (how to add cloudnet) [33] to increase the scalability of an edge

A deep learning approach for energy efficient computational offloading in mobile edge computing

Z Ali, L Jiao, T Baker, G Abbas, ZH Abbas… - IEEE Access, 2019 - ieeexplore.ieee.org
… and cost of offloading to the Cloudlet [10] under varying network … transmission overhead
as compared to total offloading … scaling for real-time video encoding on mobile devices,’’ …

Deep reinforcement learning for shared offloading strategy in vehicle edge computing

X Peng, Z Han, W Xie, C Yu, P Zhu, J Xiao… - IEEE Systems …, 2022 - ieeexplore.ieee.org
… Temma, “Cloudlets activation scheme for scalable mobile edge computing with
transmission power control and virtual machine migration,” IEEE Trans. Comput., vol. 67, no. …

Non-functional requirements elicitation for edge computing

S Gupta - Internet of Things, 2022 - Elsevier
… as micro datacenter, cloudlets, or fog nodes are provisioned at the Internet’s edge in close …
RADDS) scheme that supports scalability for edge storage. The scheme supports Edge nodes …

Computation offloading and resource allocation based on distributed deep learning and software defined mobile edge computing

Z Wang, T Lv, Z Chang - Computer Networks, 2022 - Elsevier
… Given the transmission power, the integer optimization … a novel software defined edge
cloudlet based reinforcement … We invoke the ReLU function as the activation function, ie, g δ k …

Convergence of edge computing and deep learning: A comprehensive survey

X Wang, Y Han, VCM Leung, D Niyato… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
… Unlike Cloudlet, MDCs and MEC, fog computing is more … number of services in a scalable
and straightforward fashion [70]. … , is directly passed to and activated by neurons belong to the …

A survey on mobile edge computing for video streaming: Opportunities and challenges

MA Khan, E Baccour, Z Chkirbene, A Erbad… - IEEE …, 2022 - ieeexplore.ieee.org
… improve scalability due to the fact that any attack on an edge … The concept of edge,
cloudlet and fog computing are … adjusting transmission power for remote computing (edge/cloud) …