Results 81 to 90 of about 869,088 (324)
Observer‐Based Adaptive Event‐Triggered Tracking Control for Fuzzy TS Systems With Premise Mismatch
This paper presents an adaptive logistic event‐triggered observer‐based tracking controller for Takagi‐Sugeno fuzzy systems under constrained inputs and network delays. Leveraging a hybrid LMI and Secretary Bird Optimization approach, this strategy significantly minimizes communication overhead and computational burden while ensuring optimal reference ...
Oussama Djadane +3 more
wiley +1 more source
Distributed multi-tenant RAN slicing in 5G networks
International audienceNetwork slicing is a promising technology in 5G networks. The key concept is to divide the physical network into multiple logical networks, that are tailored to fulfill diverse service requirements. In this paper, we propose a multi-
Lahoud, Samer +4 more
core +1 more source
dynoGP: Deep Gaussian Processes for Dynamic System Identification
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli +3 more
wiley +1 more source
Deep Learning for Intelligent and Automated Network Slicing in 5G Open RAN (ORAN) Deployment
5G and beyond networks are considered a catalyst for emerging IoT applications and services by providing ultra-reliable connectivity and massive connections to billions of IoT sensors and devices.
Shu-Ping Yeh +3 more
doaj +1 more source
Resource Allocation for Network Slicing in RAN Using Case-Based Reasoning
As a key technology of 5G, network slicing can meet the diverse needs of users. In this research, we study network slicing resource allocation in radio access networks (RAN) by case-based reasoning (CBR). We treat the user distribution scenario as a case
Dandan Yan, Xu Yang, Laurie Cuthbert
doaj +1 more source
Towards Defect Phase Diagrams: From Research Data Management to Automated Workflows
A research data management infrastructure is presented for the systematic integration of heterogeneous experimental and simulation data required for defect phase diagrams. The approach combines openBIS with a companion application for large‐object storage, automated metadata extraction, provenance tracking and federated data access, thereby supporting ...
Khalil Rejiba +5 more
wiley +1 more source
The advent of the sixth generation (6G) wireless networks envisions an Artificial Intelligence (AI)-native Radio Access Network (AI-RAN), where Deep Reinforcement Learning (DRL) emerges as a key enabler for intelligent and autonomous network slicing ...
Shuaishuai Guo +4 more
doaj +1 more source
RAN Network Slicing in 5G Networks
LAUREA MAGISTRALECon l’evolversi dei tempi, aumenta anche la richiesta da parte delle persone di reti di comunicazione mobile ad alte prestazioni. Il 5G sarà in grado di fornire velocità di trasmissione dei dati paragonabili alle fibre ottiche e il ...
GAO, NAN
core
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch +3 more
wiley +1 more source
Side Channel Attack-Aware Resource Allocation for URLLC and eMBB Slices in 5G RAN
Network slicing is a key enabling technology to realize the provisioning of customized services in 5G paradigm. Due to logical isolation instead of physical isolation, network slicing is facing a series of security issues.
Yajie Li +5 more
doaj +1 more source

