Dynamic priority-based computation scheduling and offloading for interdependent tasks: Leveraging parallel transmission and execution
R Chai, M Li, T Yang, Q Chen - IEEE Transactions on Vehicular …, 2021 - ieeexplore.ieee.org
Mobile edge computing (MEC) has recently emerged as an effective paradigm to enhance
the computing capability of capability-limited mobile devices (MDs). In this article, we …
the computing capability of capability-limited mobile devices (MDs). In this article, we …
Reinforcement Learning for Intelligent Healthcare Systems: A Review of Challenges, Applications, and Open Research Issues
The rise of chronic disease patients and the pandemic pose immediate threats to healthcare
expenditure and mortality rates. This calls for transforming healthcare systems away from …
expenditure and mortality rates. This calls for transforming healthcare systems away from …
[HTML][HTML] A review on edge analytics: Issues, challenges, opportunities, promises, future directions, and applications
Edge technology aims to bring cloud resources (specifically, the computation, storage, and
network) to the closed proximity of the edge devices, ie, smart devices where the data are …
network) to the closed proximity of the edge devices, ie, smart devices where the data are …
Deep learning-based computer vision for surveillance in its: Evaluation of state-of-the-art methods
Intelligent transportation system (ITS) collects numerous data for analysis of the
transportation system. The data can be used for providing services for travellers and traffic …
transportation system. The data can be used for providing services for travellers and traffic …
AI-based network-aware service function chain migration in 5G and beyond networks
While the 5G network technology is maturing and the number of commercial deployments is
growing, the focus of the networking community is shifting to services and service delivery …
growing, the focus of the networking community is shifting to services and service delivery …
Wild networks: Exposure of 5G network infrastructures to adversarial examples
G Apruzzese, R Vladimirov… - … on Network and …, 2022 - ieeexplore.ieee.org
Fifth Generation (5G) networks must support billions of heterogeneous devices while
guaranteeing optimal Quality of Service (QoS). Such requirements are impossible to meet …
guaranteeing optimal Quality of Service (QoS). Such requirements are impossible to meet …
Energy efficient relay selection and resource allocation in D2D-enabled mobile edge computing
In order to improve resource utilization and network capacity, we propose the Device-to-
Device (D2D) enabled Mobile Edge Computing (MEC) system, where multiple Smart …
Device (D2D) enabled Mobile Edge Computing (MEC) system, where multiple Smart …
Security enhancement with a hybrid cooperative NOMA scheme for MEC system
B Li, W Wu, W Zhao, H Zhang - IEEE Transactions on Vehicular …, 2021 - ieeexplore.ieee.org
This article investigates how to exploit the cooperative mechanism between non-orthogonal
multiple access (NOMA) user pairs to enhance the security of the mobile-edge computing …
multiple access (NOMA) user pairs to enhance the security of the mobile-edge computing …
In-network placement of delay-constrained computing tasks in a softwarized intelligent edge
Abstract Future sixth-generation (6G) networks will rely on the synergies of edge computing
and machine learning (ML) to build an intelligent edge, where communication and …
and machine learning (ML) to build an intelligent edge, where communication and …
Auction mechanism for dynamic bandwidth allocation in multi-tenant edge computing
Inspired by the shared infrastructure of colocation data centers and the growth of Mobile
Edge Computing (MEC), colocation MEC businesses have thrived to offer an economical …
Edge Computing (MEC), colocation MEC businesses have thrived to offer an economical …