Results 21 to 30 of about 4,802 (233)
Array, 2022 The emerging computing paradigms like mobile cloud, mobile edge computing, fog computing, AI, and 5G provide the scope to advance mobile learning (m-learning) performances across educational disciplines.
Khalid Mohiuddin +5 more
doaj +1 more source
Vehicular Computation Offloading for Industrial Mobile Edge Computing [PDF]
, 2021 Due to the limited local computation resource, industrial vehicular computation requires offloading the computation tasks with time-delay sensitive and complex demands to other intelligent devices (IDs) once the data is sensed and collected ...
Song, Houbing +5 more
core +2 more sources
Multi-Objective Computation Sharing in Energy and Delay Constrained Mobile Edge Computing Environments [PDF]
, 2021 In a mobile edge computing (MEC) network, mobile devices, also called edge clients, offload their computations to multiple edge servers that provide additional computing resources.
Bozorgchenani, Arash +7 more
core +1 more source
Context-aware multi-user offloading in mobile edge computing: A federated learning-based approach [PDF]
, 2021 Mobile edge computing (MEC) provides an effective solution to help the Internet of Things (IoT) devices with delay-sensitive and computation-intensive tasks by offering computing capabilities in the proximity of mobile device users.
Farahbakhsh, Fariba +4 more
core +2 more sources
5G-MEC Testbeds for V2X Applications [PDF]
, 2023 Fifth-generation (5G) mobile networks fulfill the demands of critical applications, such as Ultra-Reliable Low-Latency Communication (URLLC), particularly in the automotive industry.
Wadatkar, Prachi Vinod +5 more
core +1 more source
IEEE Access, 2020 With the proliferation of mobile devices and a wealth of rich application services, the Internet of vehicles (IoV) has struggled to handle computationally intensive and delay-sensitive computing tasks.
Hongjing Ji, Osama Alfarraj, Amr Tolba
doaj +1 more source
Research of Mobile Edge Computing for Future Mobile Communications: A Review [PDF]
Zhengzhou Daxue xuebao. Gongxue banMobile edge computing (MEC) has become one of the key technologies for future-oriented communica tions by offloading the computing and storage tasks of mobile terminals from centralized data centers to edge grids to satisfy the diverse device service ...
YANG Shouyi +5 more
doaj +1 more source
Synonym‐based multi‐keyword ranked search with secure k‐NN in 6G network
IET Networks, EarlyView., 2022 Abstract Sixth Generation (6G) integrates the next generation communication systems such as maritime, terrestrial, and aerial to offer robust network and massive device connectivity with ultra‐low latency requirement. The cutting edge technologies such as artificial intelligence, quantum machine learning, and millimetre enable hyper‐connectivity to ...
Deebak Bakkiam David, Fadi Al‐Turjman
wiley +1 more source
Security challenges of Small Cell as a Service in virtualized mobile edge computing environments [PDF]
, 2016 Research on next-generation 5G wireless networks is currently attracting a lot of attention in both academia and industry. While 5G development and standardization activities are still at their early stage, it is widely acknowledged that 5G systems are ...
Haralambos Mouratidis +6 more
core +1 more source
Computation Efficiency Optimization for Millimeter-Wave Mobile Edge Computing Networks with NOMA [PDF]
, 2022 In this paper, by improving the computation efficiency (CE) and ensuring the fairness among users, we study the CE optimization for millimeter-wave mobile edge computing (mmWave-MEC) Networks with NOMA, where both the analog beamforming (ABF) and hybrid ...
Xu, Fangcheng +9 more
core +1 more source