Results 1 to 10 of about 51,610 (211)
A Novel Approach to the Job Shop Scheduling Problem Based on the Deep Q-Network in a Cooperative Multi-Access Edge Computing Ecosystem. [PDF]
Sensors (Basel), 2021 In this study, based on multi-access edge computing (MEC), we provided the possibility of cooperating manufacturing processes. We tried to solve the job shop scheduling problem by applying DQN (deep Q-network), a reinforcement learning model, to this ...
Moon J, Yang M, Jeong J.
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Multi-Access Edge Computing (MEC) Based on MIMO: A Survey. [PDF]
Sensors (Basel), 2023 With the rapid development of wireless communication technology and the emergence of intelligent applications, higher requirements have been put forward for data communication and computing capacity.
Zhu M, Gao S, Tu G, Chen D.
europepmc +2 more sources
Programmability of Connectivity Control
Elektronika ir Elektrotechnika, 2021 Network programmability and edge computing as key features of next generation communications enable innovative services. While the programmability is focused on the core network of the fifth-generation system, the edge computing moves the network ...
Ivaylo I. Atanasov, Evelina N. Pencheva
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Multi-Access Edge Computing: A Survey
IEEE Access, 2020 Multi-access Edge Computing (MEC) is a key solution that enables operators to open their networks to new services and IT ecosystems to leverage edge-cloud benefits in their networks and systems. Located in close proximity from the end users and connected
Abderrahime Filali +4 more
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Mobile Personal Multi-Access Edge Computing Architecture Composed of Individual User Devices
Applied Sciences, 2020 The Multi-Access Edge Computing (MEC) paradigm provides a promising solution to solve the resource-insufficiency problem in user mobile devices by offloading computation-intensive and delay-sensitive computing services to nearby edge nodes.
Juyong Lee, Jeong-Weon Kim, Jihoon Lee
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Comparative Analysis of 5G Mobile Communication Network Architectures
Applied Sciences, 2020 Mobile communication technology is evolving from 4G to 5G. Compared to previous generations, 5G has the capability to implement latency-critical services, such as autonomous driving, real-time AI on handheld devices and remote drone control. Multi-access
Woosik Lee +3 more
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Deep Reinforcement Learning Based Computation Offloading in UAV-Assisted Edge Computing
Drones, 2023 Traditional multi-access edge computing (MEC) often has difficulty processing large amounts of data in the face of high computationally intensive tasks, so it needs to offload policies to offload computation tasks to adjacent edge servers.
Peiying Zhang +6 more
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Intelligent task migration with deep Qlearning in multi‐access edge computing
IET Communications, 2022 Multi‐access edge computing provides computation and network resources in proximity to user applications in mobile environments. Deploying edge servers in network boundary can not only offload the heavy task loading on the cloud, but also alleviate ...
Sheng‐Zhi Huang +2 more
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Edge Computing Technology Enablers: A Systematic Lecture Study
IEEE Access, 2022 With the increasing stringent QoS constraints (e.g., latency, bandwidth, jitter) imposed by novel applications (e.g., e-Health, autonomous vehicles, smart cities, etc.), as well as the rapidly increasing number of connected IoT (Internet of Things ...
Salmane Douch +4 more
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Attribute-Based Encryption Scheme for Edge Computing [PDF]
Jisuanji gongcheng, 2021 When existing Attribute-Based Encryption(ABE) schemes for traditional cloud environment determine the access rights of users,they consider only general attributes such as occupation and age,ignoring time and location constraints,which makes them fail to ...
PENG Hongyan, LING Jiao, QIN Shaohua, DENG Jianfeng
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