Results 31 to 40 of about 1,117,093 (260)
Intent-driven Intelligent Control and Orchestration in O-RAN Via Hierarchical Reinforcement Learning
rApps and xApps need to be controlled and orchestrated well in the open radio access network (O-RAN) so that they can deliver a guaranteed network performance in a complex multi-vendor environment. This paper proposes a novel intent-driven intelligent control and orchestration scheme based on hierarchical reinforcement learning (HRL).
Md Arafat Habib +7 more
openaire +2 more sources
Reinforcement Learning-Based Handover Algorithm for 5G/6G AI-RAN
The increasing number of Base Stations (BSs) and connected devices, coupled with their mobility, poses significant challenges and makes mobility management even more pressing.
Ildar A. Safiullin +4 more
doaj +1 more source
RoboMic is an automated confocal microscopy pipeline for high‐throughput functional imaging in living cells. Demonstrated with fluorescence recovery after photobleaching (FRAP), it integrates AI‐driven nuclear segmentation, ROI selection, bleaching, and analysis.
Selçuk Yavuz +6 more
wiley +1 more source
Proactive AI-and-RAN Workload Orchestration in O-RAN Architectures for 6G Networks
The vision of AI-RAN convergence, as advocated by the AI-RAN Alliance, aims to unlock a unified 6G platform capable of seamlessly supporting AI and RAN workloads over shared infrastructure.
Syed Danial Ali Shah +3 more
doaj +1 more source
Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei +3 more
wiley +1 more source
E2 Service Models in O-RAN: A Specification-Grounded Tutorial and Implementation Analysis
The E2 interface and its associated E2 Service Models (E2SMs) are the primary mechanisms through which the Near-Real-Time RAN Intelligent Controller (Near-RT RIC) observes and controls Radio Access Network (RAN) behavior in O-RAN.
Pratheek Upadhyaya +5 more
doaj +1 more source
Guiding AlphaFold to predict how Munc13‐1 opens Syntaxin‐1
The syntaxin‐1 Habc‐domain (orange), linker (pink) and SNARE motif (yellow) form a closed conformation that binds to Munc18‐1 (violet) and is opened by the Munc13‐1 MUN domain (cyan) to form the SNARE complex that triggers neurotransmitter release.
Madhurima Chattopadhyay +2 more
wiley +1 more source
Multi-Tier Hierarchical Intelligence for Joint RIS–NOMA Optimization in O-RAN-Enabled 6G Networks
The evolution toward sixth-generation (6G) networks demands architectures that integrate intelligence, flexibility, and spectral efficiency beyond the limits of conventional fifth-generation (5G) systems.
Ahmed Abdelreheem +3 more
doaj +1 more source
Research is strongest when conducted alongside patients, not just about them. Patient research organizations help integrate patient perspectives into research priorities, study design, and scientific meetings, leading to meaningful patient outcomes and development of relevant therapies.
Jenica H. Kakadia +9 more
wiley +1 more source
O-RAN-Enabled Adaptive Relaying for Robust V2X Communication in Urban NLOS Scenarios
The Open Radio Access Network (O-RAN) introduces programmability and intelligence into wireless infrastructure, making it a promising enabler of reliable Vehicle-to-Everything (V2X) communication in complex urban environments.
Abdul Rehman +4 more
doaj +1 more source

