Search Results - "Mobile Edge Computing"
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1
Authors:
Source: Cluster Computing. 28(9)
Subject Terms: Virtual reality, Mobile edge computing, QoE, VR, QoS, XR
File Description: electronic
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2
Authors:
Source: ACM Computing Surveys. 58(3)
Subject Terms: Mobile edge computing, resource management, resource allocation, scheduling, Internet of Things (IoT), mission-critical applications, latency-aware applications
File Description: electronic
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3
Authors:
Source: Results in Engineering (RINENG). 25
Subject Terms: Cloud platforms, Computation offloading, Mobile edge computing, Optimization algorithms, Particle swarm optimization (PSO), Cloud layers, Cloud-computing, Customized operator, Edge computing, Gridding, Particle swarm, Particle swarm optimization, Swarm optimization, Task offloading, Task orders, Genetic algorithms, Computer Science, Datavetenskap
File Description: electronic
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4
Authors:
Source: Data-driven Latency-sensitive Mobile Services for a Digitalized Society (DRIVE) IEEE Access. 12:70707-70718
Subject Terms: online task scheduling, simulated annealing, mobile edge computing, task offloading, Computer Science, Datavetenskap
File Description: electronic
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5
Authors: et al.
Source: Nguyen, H V, Bui, V-P, Le, M T P, Nguyen-Duy-Nhat, V, Nguyen-Le, H & Tran, N H 2025, 'Latency Fairness for MEC-Enabled Cell-free massive MIMO : ICA-and AI-based Approaches', IEEE Communications Letters, vol. 29, no. 8, pp. 1963-1967. https://doi.org/10.1109/LCOMM.2025.3581730
Subject Terms: Optimization, Artificial intelligence, Resource management, Cell-free, Scalability, resource allocation, Fading channels, Servers, Vectors, Convolutional neural networks, obile edge computing, ICA, mobile edge computing, Massive MIMO, CNN, Data communication, latency
File Description: application/pdf
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6
Authors: et al.
Source: IEEE Transactions on Vehicular Technology. 74:11249-11263
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7
Authors: et al.
Source: IEEE Transactions on Vehicular Technology. 74:10869-10880
Subject Terms: task offloading, multiobjective, neural combinatorial optimization, mobile edge computing, encoder-decoder model
File Description: Print-Electronic
Access URL: https://bura.brunel.ac.uk/handle/2438/30986
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8
Authors: et al.
Source: Huang, W, Wang, K, Lin, Y & Ding, Z 2025, 'Energy Efficiency in Hybrid NOMA-MEC Networks', IEEE Transactions on Wireless Communications, vol. 24, no. 7. https://doi.org/10.1109/TWC.2025.3547252
Subject Terms: Energy efficiency, offloading strategy, resource allocation, non-orthogonal multiple access (NOMA), mobile edge computing (MEC)
File Description: application/pdf
Access URL: https://research.manchester.ac.uk/en/publications/0cd49d4c-9865-450d-a698-0702a45be7c6
https://doi.org/10.1109/TWC.2025.3547252
https://research.manchester.ac.uk/en/publications/0cd49d4c-9865-450d-a698-0702a45be7c6
https://doi.org/10.1109/TWC.2025.3547252
https://pure.manchester.ac.uk/ws/files/1343441283/Energy_Efficiency_in_Hybrid_NOMA-MEC_Networks.pdf -
9
Authors:
Source: IEEE INFOCOM 2025 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS). :1-6
Subject Terms: Mobile-edge computing, Resource sharing, Age of Information, Internet of Things, Data acquisition
Access URL: https://elib.dlr.de/213857/
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10
Authors: et al.
Source: RIUMA. Repositorio Institucional de la Universidad de Málaga
Universidad de MálagaSubject Terms: Optimization, Handover, Learning agent, Optimal network, Deep reinforcement learning algorithm, Network capacity, Federated learning, Heterogeneous network, Deep neural network, Small step, Deep reinforcement learning agent, Key performance indicators, Aprendizaje automático (Inteligencia artificial), Reinforcement learning algorithm, Training, Heuristic algorithms, Training phase, Training cell, Individual agency, Neighboring cells, Long term evolution, Deep reinforcement learning, 5 G NSA, Telecomunicaciones, Multi party computation, Hysteresis, Cell clusters, Rest of the cells, Reinforcement learning agent, Event B 1, Cellular networks, Deep learning, RAN Optimization, Rate of network, Throughput, 5 G Mobile communication, User equipment, Mobile edge computing
Access URL: https://hdl.handle.net/10630/38565
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11
Authors: et al.
Source: IEEE Transactions on Intelligent Transportation Systems. 26:5804-5815
Subject Terms: Optimization, Autonomous aerial vehicles, deep reinforcement learning, Satellites, UMBC Security and Optimization for Networked Globe Laboratory (SONG Lab), Resource management, Processor scheduling, Computational modeling, mobile edge computing (MEC), Disasters, Low earth orbit satellites, Space-Air-Ground integrated network (SAGIN), deep Q network (DQN), Space-air-ground integrated networks, Delays
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12
Authors: et al.
Source: Digital Communications and Networks, Vol 11, Iss 2, Pp 377-386 (2025)
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13
Authors: et al.
Source: Tehnika, Vol 80, Iss 2, Pp 185-191 (2025)
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14
Authors: et al.
Source: Computing and Informatics; Vol. 44 No. 2 (2025): Computing and Informatics; 245–271
Subject Terms: resource constraint, task offloading, improved DDPG, Mobile edge computing, resource allocation, mobile edge computing
File Description: application/pdf
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15
Authors:
Source: 2025 IEEE Wireless Communications and Networking Conference (WCNC). :1-6
Subject Terms: DASH, multi-access edge computing, bitrate delivery, transcoding, Multi-access edge computing, Simulation, Bit rate, Transcoding, Deep reinforcement learning, Mobile video, Quality of experience, Resource management, Standards, Optimization, Deep Reinforcement Learning, Simulation Results, Quality Of Experience, Deterministic Policy Gradient, Resource Constraints, Computational Resources, K-nearest Neighbor, Base Station, Simulation Setup, Actor Network, Reward Function, Critic Network, Edge Server, Mobile Edge Computing, Popular Video, Caching Scheme, Macro Base Station, Least Significant Bit, DASH, multi-access edge computing, bitrate delivery, transcoding
File Description: application/pdf
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16
Authors:
Source: Journal of Communications Software and Systems, Vol 21, Iss 4, Pp 436-446 (2025)
Subject Terms: device-to-device communication, d2d, multi-access mobile edge computing, mec, handover, proactive, 5g., Computer software, QA76.75-76.765
File Description: electronic resource
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17
Authors: Pei Lin
Source: Scientific Reports, Vol 15, Iss 1, Pp 1-20 (2025)
Subject Terms: Mobile edge computing, Scheduling, Greedy algorithms, Fuzzy logic, Energy consumption, Latency, Medicine, Science
File Description: electronic resource
Relation: https://doaj.org/toc/2045-2322
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18
Authors:
Source: Dianxin kexue, Vol 41, Pp 102-121 (2025)
Subject Terms: mobile edge computing, resource allocation, task offloading, maritime communication, twin-delayed deep deterministic policy gradient, Telecommunication, TK5101-6720, Technology
File Description: electronic resource
Relation: https://doaj.org/toc/1000-0801
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19
Distributed Intelligent Framework for Remote Area Observation on Multilayer Non-Terrestrial Networks
Authors: et al.
Source: 2024 IEEE International Mediterranean Conference on Communications and Networking (MeditCom). :1-6
Subject Terms: Training, Image quality, Accuracy, Satellites, Scalability, Transfer learning, Nonhomogeneous media, Remote Observations, Non-terrestrial Networks, Image Quality, Data Privacy, Transfer Learning, Unmanned Aerial Vehicles, Training Performance, Earth Observation, Multilayer Network, Edge Computing, Reliable Services, Federated Learning, Accurate Application, Distributed Learning, Satellite Networks, Numerous Insights, Security Training, Raw Data, Deep Neural Network, Gap In The Literature, Mobile Edge Computing, Communication Overhead, 6G Networks, Data Security, Ground Station, Local Data, Disaster Management, Communication Distance, Import Demand, Network Space, Split Learning, Non-Terrestrial Networks, Training, Image quality, Accuracy, Satellites, Scalability, Transfer learning, Nonhomogeneous media, Remote Observations, Non-terrestrial Networks, Image Quality, Data Privacy, Transfer Learning, Unmanned Aerial Vehicles, Training Performance, Earth Observation, Multilayer Network, Edge Computing, Reliable Services, Federated Learning, Accurate Application, Distributed Learning, Satellite Networks, Numerous Insights, Security Training, Raw Data, Deep Neural Network, Gap In The Literature, Mobile Edge Computing, Communication Overhead, 6G Networks, Data Security, Ground Station, Local Data, Disaster Management, Communication Distance, Import Demand, Network Space, Distributed Learning, Federated Learning, Transfer Learning, Split Learning, Earth Observation, Non-Terrestrial Networks
File Description: application/pdf
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20
Authors:
Source: ICT Express, Vol 11, Iss 1, Pp 41-46 (2025)
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