Results 31 to 40 of about 4,802 (233)

A Survey on Mobile Edge Computing Infrastructure: Design, Resource Management, and Optimization Approaches

open access: yesIEEE Access, 2022
Emerging 5G cellular networks are expected to face a dramatic increase in the volume of mobile traffic and IoT user requests due to the massive growth in mobile devices and the emergence of new compute-intensive applications.
Lina A. Haibeh   +2 more
doaj   +1 more source

Distributed wireless network resource optimisation method based on mobile edge computing

open access: yesIET Networks, EarlyView., 2022
This paper mainly compares the network ranking leader, consumption amount and network signal reception of the three algorithms. The study found that in terms of network sort captain, there are significant differences between the CPLEX algorithm, the CCST algorithm, and edge computing methods. The CCST algorithm and edge computing have little difference
Jiongting Jiang   +4 more
wiley   +1 more source

Joint power control and user grouping mechanism for efficient uplink non‐orthogonal multiple access‐based 5G communication: Utilising the Lèvy‐flight firefly algorithm

open access: yesIET Networks, EarlyView., 2023
We utilise a metaheuristic optimisation method, inspired by nature, called the Lévy‐flight firefly algorithm (LFA), to tackle the power regulation and user grouping in the NOMA systems. Abstract The non‐orthogonal multiple access strategies have shown promise to boost fifth generation and sixth generation wireless networks' spectral efficiency and ...
Zaid Albataineh   +4 more
wiley   +1 more source

Edge Computing Assisted Adaptive Mobile Video Streaming [PDF]

open access: yes, 2019
Nearly all bitrate adaptive video content delivered today is streamed using protocols that run a purely client based adaptation logic. The resulting lack of coordination may lead to suboptimal user experience and resource utilization.
Yla-Jaaski, A   +5 more
core   +1 more source

Modelling task offloading mobile edge computing [PDF]

open access: yes, 2022
With the rapid growth of mobile devices (such as smart phones and IoT devices) and the upcoming 5G era, it has been considered that edge computing will play a significant role, which together with the Cloud server forms the Mobile Edge Computing (MEC ...
He, Ligang, Chen, Zhiyan
core   +1 more source

Stochastic Model Driven Performance and Availability Planning for a Mobile Edge Computing System [PDF]

open access: yes, 2021
Mobile Edge Computing (MEC) has emerged as a promising network computing paradigm associated with mobile devices at local areas to diminish network latency under the employment and utilization of cloud/edge computing resources.
Dugki Min   +7 more
core   +1 more source

IEEE Access Special Section Editorial: Mobile Edge Computing

open access: yesIEEE Access, 2020
Mobile edge computing (MEC) is emerging as a promising computing architecture by pushing computation and storage closer to end-users with both strategically deployed edge servers and opportunistic available resources.
Yan Zhang   +6 more
doaj   +1 more source

Computing and relaying : utilizing mobile edge computing for P2P communications [PDF]

open access: yes, 2020
Besides increasing the computing capacity of edge devices, mobile edge computing (MEC) can also be utilized to help communication. This paper proposes an MEC-assisted computing and relaying scheme to enhance the throughput of uncompressed data for mobile
Zhao, Nan   +5 more
core   +1 more source

Joint Offloading and Energy Harvesting Design in Multiple Time Blocks for FDMA Based Wireless Powered MEC [PDF]

open access: yes, 2021
The combination of mobile edge computing (MEC) and wireless power transfer (WPT) is recognized as a promising technology to solve the problem of limited battery capacities and insufficient computation capabilities of mobile devices.
Long Li   +4 more
core   +1 more source

Multi-objective Optimization of D2D Collaborative MEC Based on Improved NSGA-III [PDF]

open access: yesJisuanji kexue
In the current mobile edge computing(MEC),since tasks are directly uploaded to the MEC server for execution,there are problems such as high computing pressure on the edge server and insufficient utilization of resources on idle mobile devices.Using idle ...
WANG Zhihong, WANG Gaocai, ZHAO Qifei
doaj   +1 more source

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