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Wireless Powered Mobile Edge Computing Networks: A Survey
ACM Computing Surveys, 2023Wireless Powered Mobile Edge Computing (WPMEC) is an integration of Mobile Edge Computing (MEC) and Wireless Power Transfer (WPT) technologies, to both improve computing capabilities of mobile devices and energy compensation for their limited battery ...
Xiaojie Wang+6 more
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Heterogeneous Computational Resource Allocation for NOMA: Toward Green Mobile Edge-Computing Systems
IEEE Transactions on Services Computing, 2023Mobile Edge Computing (MEC) is a viable solution in response to the growing demand for broadband services in the new-generation heterogeneous systems. The dense deployment of small cell networks is a key feature of next-generation radio access networks ...
A. Mohajer+5 more
semanticscholar +1 more source
Priority-Aware Resource Scheduling for UAV-Mounted Mobile Edge Computing Networks
IEEE Transactions on Vehicular Technology, 2023In this paper, we investigate the joint impact of task priority and mobile computing service on the mobile edge computing (MEC) networks, in which one unmanned aerial vehicle (UAV) provides mobile computing service to help compute the tasks from users in
Wenqi Zhou+6 more
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AoI-Aware Scheduling for Air-Ground Collaborative Mobile Edge Computing
IEEE Transactions on Wireless Communications, 2023As a way of providing users flexible computing services, networks exist that can make full use of air and ground computing resources. Such networks are called air-ground collaborative mobile edge computing (AGC-MEC) networks.
Zhen Qin+6 more
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Mobile Edge Computing and Machine Learning in the Internet of Unmanned Aerial Vehicles: A Survey
ACM Computing Surveys, 2023Unmanned Aerial Vehicles (UAVs) play an important role in the Internet of Things and form the paradigm of the Internet of UAVs, due to their characteristics of flexibility, mobility, and low costs.
Zhaolong Ning+6 more
semanticscholar +1 more source
Auction-Based Cluster Federated Learning in Mobile Edge Computing Systems
IEEE Transactions on Parallel and Distributed Systems, 2023Federated Learning (FL), allowing data owners to conduct model training without sending their raw data to third-party servers, can enhance data privacy in Mobile Edge Computing (MEC) which brings data processing closer to the data sources.
Renhao Lu+6 more
semanticscholar +1 more source
Middleware for Edge Devices in Mobile Edge Computing [PDF]
In mobile edge computing, edge devices collect data, and an edge server performs computational or data processing tasks that need real-time processing. Depending upon the requested task's complexity, an edge server executes it locally or remotely in the cloud. When an edge server needs to offload its computational tasks, there could be a sudden failure
Manish Pandey, Young-Woo Kwon
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Unmanned-Aerial-Vehicle-Aided Integrated Sensing and Computation With Mobile-Edge Computing
IEEE Internet of Things Journal, 2023Integrated sensing and communication (ISAC), which enables the joint radar sensing and data communications, shows its great potential in many intelligent applications.
Ning Huang+5 more
semanticscholar +1 more source
ACM Transactions on Embedded Computing Systems, 2023
As the computing resources and the battery capacity of mobile devices are usually limited, it is a feasible solution to offload the computation-intensive tasks generated by mobile devices to edge servers (ESs) in mobile edge computing (MEC).
Ying Chen+4 more
semanticscholar +1 more source
As the computing resources and the battery capacity of mobile devices are usually limited, it is a feasible solution to offload the computation-intensive tasks generated by mobile devices to edge servers (ESs) in mobile edge computing (MEC).
Ying Chen+4 more
semanticscholar +1 more source
Quantum Particle Swarm Optimization for Task Offloading in Mobile Edge Computing
IEEE Transactions on Industrial Informatics, 2023Mobile edge computing (MEC) deploys servers on the edge of the mobile network to reduce the data transmission delay between servers and mobile devices, and can meet the computing demand of mobile computing tasks.
Shi Dong, Yuanjun Xia, J. Kamruzzaman
semanticscholar +1 more source