Results 91 to 100 of about 17,864 (295)

Waveform Flexibility for Network Slicing

Wireless Communications and Mobile Computing, 2019
We discuss the idea of waveform flexibility and resource allocation in future wireless networks as a promising tool for network slicing implementation down to the lowest layers of the OSI (Open Systems Interconnection) models. In particular, we consider the possibility of cognitively adjusting the shape of the waveform to the requirements associated ...
Lukasz Kulacz, Pawel Kryszkiewicz, Adrian Kliks   +2 more
openaire   +1 more source

Prediction of Surface Topography Parameters in Direct Laser Interference Patterning of Stainless Steel Using Infrared Monitoring and Convolutional Neural Networks

Advanced Engineering Materials, EarlyView.
This study presents an infrared monitoring approach for direct laser interference patterning (DLIP) combined with a convolutional neural network (CNN). Thermal emission data captured during structuring are used to predict surface topography parameters.
Lukas Olawsky, Marcelo Sallese, Leander Kläber, Clemens Kuhn, Keming Du, Andrés Fabián Lasagni   +5 more
wiley   +1 more source

RAN Runtime Slicing System for Flexible and Dynamic Service Execution Environment

IEEE Access, 2018
Network slicing is one key enabler to provide the required flexibility and to realize the service-oriented 5G vision. Unlike the core network slicing, radio access network (RAN) slicing is still at its infancy and several works just start to investigate ...
Chia-Yu Chang, Navid Nikaein
doaj   +1 more source

Resource allocation and management techniques for network slicing in WiFi networks [PDF]

, 2020
© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new ...
Serrat Fernández, Juan, Richart Gutiérrez, Matías Mario, Gorricho Moreno, Juan Luis, Baliosian, Javier   +3 more
core   +1 more source

Additive Gaussian Process Regression for Predictive Design of High‐Performance, Printable Silicones

Advanced Engineering Materials, EarlyView.
A chemistry‐aware design framework for tuning printable polydimethylsiloxane (PDMS) for vat photopolymerization (VPP) is developed using additive Gaussian process (GP) modeling. Polymer network mechanics informs variable groupings, feasible formulation constraints, and interaction variables.
Roxana Carbonell, Martha Leach, Hongtao Song, Carolyn Seepersad   +3 more
wiley   +1 more source

Toward Slicing-Enabled Multi-Access Edge Computing in 5G

, 2020
Multi-access Edge Computing (MEC) and Network Slicing are two key enablers for 5G, particularly to empower low-latency services, known as Ultra-Reliable Low Latency Communications (URLLC).
Ksentini, Adlen, Frangoudis, Pantelis A.
core   +1 more source

Tailored Hierarchical Porous Copper Architectures via Three Dimensional Printing and Pressure‐less Sintering for Next‐Generation Lithium‐Metal Batteries

Advanced Engineering Materials, EarlyView.
A hierarchical porous copper current collector is fabricated via three‐dimensional printing combined with pressureless sintering to stabilize lithium metal anodes. The interconnected architecture lowers local current density, guides uniform Li deposition within pores, and suppresses dendrite growth.
Alok Kumar Mishra, Mukul Shukla
wiley   +1 more source

End-to-end network slicing for 5G mobile networks

, 2017
| openaire: EC/H2020/723172/EU//5GPagodaThe research and development (R&D) and the standardization of the 5th Generation (5G) mobile networking technologies are proceeding at a rapid pace all around the world.
Kiriha, Yoshiaki, Gebremariam, Anteneh Atumo, Ping Du, Akihiro Nakao, Nakao, Akihiro, Fabrizio Granelli, Taleb, Tarik, Anteneh Atumo Gebremariam, Granelli, Fabrizio, Du, Ping, Miloud Bagaa, Tarik Taleb, Bagaa, Miloud, Yoshiaki Kiriha   +13 more
core   +1 more source

Low‐Angle Grain Boundaries and Re‐Segregation in Single‐Crystalline Ni‐Base Superalloys

Advanced Engineering Materials, EarlyView.
This work demonstrates that Re‐segregation at low‐angle grain boundaries (LAGBs) in Ni‐base superalloys is influenced by misorientation angle. Advanced microscopy and atom probe tomography reveal that higher misorientation angles increases Re‐segregation.
Alireza B. Parsa, Aparna Saksena, Alesander Kostka, Pascal Thome, Felicitas Scholz, Alexandre Mussi, Christoph Somsen, Baptiste Gault, Jan Frenzel, Gunther Eggeler   +9 more
wiley   +1 more source

Artificial Intelligence-Driven Network Slicing

ARO-The Scientific Journal of Koya University
Utilizing the artificial intelligence (AI) supported by software-defined networking and network function virtualization has a significant impact on the performance, flexibility, and efficiency in the development of 6G network slicing.
Ahmad B. Al-Khalil
doaj   +1 more source