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Zero touch management: A survey of network automation solutions for 5G and 6G networks
Mobile networks are facing an unprecedented demand for high-speed connectivity
originating from novel mobile applications and services and, in general, from the adoption …
originating from novel mobile applications and services and, in general, from the adoption …
A comprehensive survey on collaborative data-access enablers in the IIoT
The scope of the Industrial Internet of Things (IIoT) has stretched beyond manufacturing to
include energy, healthcare, transportation, and all that tomorrow's smart cities will entail. The …
include energy, healthcare, transportation, and all that tomorrow's smart cities will entail. The …
Metaheuristic optimization-based resource allocation technique for cybertwin-driven 6G on IoE environment
Rapid advancements of sixth-generation (6G) network and Internet of Everything (IoE)
supports numerous emerging services and application. Increasing mobile internet traffic and …
supports numerous emerging services and application. Increasing mobile internet traffic and …
Dynamic beam pattern and bandwidth allocation based on multi-agent deep reinforcement learning for beam hop** satellite systems
Due to the non-uniform geographic distribution and time-varying characteristics of the
ground traffic request, how to make full use of the limited beam resources to serve users …
ground traffic request, how to make full use of the limited beam resources to serve users …
TCDA: Truthful combinatorial double auctions for mobile edge computing in industrial Internet of Things
Mobile edge computing (MEC) emerges as an appealing paradigm to provide time-sensitive
computing services for industrial Internet of Things (IIoT) applications. How to guarantee …
computing services for industrial Internet of Things (IIoT) applications. How to guarantee …
Deep reinforcement learning-based methods for resource scheduling in cloud computing: A review and future directions
With the acceleration of the Internet in Web 2.0, Cloud computing is a new paradigm to offer
dynamic, reliable and elastic computing services. Efficient scheduling of resources or …
dynamic, reliable and elastic computing services. Efficient scheduling of resources or …
Applications of auction and mechanism design in edge computing: A survey
Edge computing as a promising technology provides lower latency, more efficient
transmission, and faster speed of data processing since the edge servers are closer to the …
transmission, and faster speed of data processing since the edge servers are closer to the …
Possible applications of edge computing in the manufacturing industry—systematic literature review
K Kubiak, G Dec, D Stadnicka - Sensors, 2022 - mdpi.com
This article presents the results of research with the main goal of identifying possible
applications of edge computing (EC) in industry. This study used the methodology of …
applications of edge computing (EC) in industry. This study used the methodology of …
Reinforcement learning-empowered mobile edge computing for 6G edge intelligence
Mobile edge computing (MEC) is considered a novel paradigm for computation-intensive
and delay-sensitive tasks in fifth generation (5G) networks and beyond. However, its …
and delay-sensitive tasks in fifth generation (5G) networks and beyond. However, its …
AuctionWhisk: Using an auction‐inspired approach for function placement in serverless fog platforms
Abstract The Function‐as‐a‐Service (FaaS) paradigm has a lot of potential as a computing
model for fog environments comprising both cloud and edge nodes, as compute requests …
model for fog environments comprising both cloud and edge nodes, as compute requests …