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Distributed Task Offloading and Resource Purchasing in NOMA-Enabled Mobile Edge Computing: Hierarchical Game Theoretical Approaches

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

Towards Flying Mobile Edge Computing

2020 International Conference on Information Networking (ICOIN), 2020
With the development of mobile edge computing (MEC), many approaches are proposed to improve the computation performances, such as network congestion, transmission latency, and quality of Internet of Things (IoTs) services. Although ground MEC system architectures are developed, there are still unsolved problems, such as depending on the ground ...
VanDung Nguyen   +5 more
openaire   +1 more source

Com-DDPG: Task Offloading Based on Multiagent Reinforcement Learning for Information-Communication-Enhanced Mobile Edge Computing in the Internet of Vehicles

IEEE Transactions on Vehicular Technology
The emergence of the Internet of Vehicles (IoV) introduces challenges regarding computation-intensive and time-sensitive related services for data processing and communication.
Honghao Gao   +4 more
semanticscholar   +1 more source

Dynamic Task Scheduling in Cloud-Assisted Mobile Edge Computing

IEEE Transactions on Mobile Computing, 2023
The cloud-assisted mobile edge computing system is a critical architecture to process computation-intensive and delay-sensitive mobile applications in close proximity to mobile users with high resource efficiency. Due to the heterogenous dynamics of task
Xiao Ma   +5 more
semanticscholar   +1 more source

Location Privacy-Aware Task Offloading in Mobile Edge Computing

IEEE Transactions on Mobile Computing
In mobile edge computing (MEC), users can offload tasks to nearby MEC servers to reduce computation cost. Considering that the size of offloaded tasks could disclose user location information, several location privacy-preserving task offloading ...
Zhibo Wang   +6 more
semanticscholar   +1 more source

OL-EUA: Online User Allocation for NOMA-Based Mobile Edge Computing

IEEE Transactions on Mobile Computing, 2023
Mobile edge computing (MEC) raises a variety of new challenges for app vendors, including the Edge User Allocation (EUA) problem. EUA aims to allocate as many app users as possible in an MEC system to minimum edge servers in the system. In non-orthogonal
Guangming Cui   +6 more
semanticscholar   +1 more source

Profit Maximization for Cache-Enabled Vehicular Mobile Edge Computing Networks

IEEE Transactions on Vehicular Technology, 2023
In this paper, we investigate a multiuser cache-enabled vehicular mobile edge computing (MEC) network, where one edge server (ES) has some caching and computing capabilities to assist the task computing from the vehicular users.
Wenqi Zhou   +6 more
semanticscholar   +1 more source

Edge server placement in mobile edge computing

Journal of Parallel and Distributed Computing, 2019
Abstract With the rapid increase in the development of the Internet of Things and 5G networks in the smart city context, a large amount of data (i.e., big data) is expected to be generated, resulting in increased latency for the traditional cloud computing paradigm.
Shangguang Wang   +4 more
openaire   +1 more source

Digital Twin-Assisted, SFC-Enabled Service Provisioning in Mobile Edge Computing

IEEE Transactions on Mobile Computing
Mobile Edge Computing (MEC) has been identified as a desirable computing paradigm that provides efficient and effective services for various applications, while meeting stringent service delay requirements.
Jing Li   +6 more
semanticscholar   +1 more source

Joint Optimization of Service Deployment and Request Routing for Microservices in Mobile Edge Computing

IEEE Transactions on Services Computing
Microservices as an emerging architecture are creating new opportunities to enable superior network services in Mobile Edge Computing (MEC). In the presence of huge amounts of user requests, the massive communications among microservices have become ...
Kai Peng   +4 more
semanticscholar   +1 more source

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