Cognitive radio application for vehicular ad hoc networks (VANETS) [PDF]
This paper presents the application of cognitive radio technology in vehicular ad-hoc networks aimed to improve the communications between vehicles themselves as well as between vehicles and roadside infrastructure.
Miladić Suzana D. +2 more
doaj +1 more source
Artificial Intelligence in Open-Radio Access Network
This tutorial seeks to outline the proposed Open Radio Access Network (O-RAN) deployment for Fifth generation (5G) wireless networks. O-RAN seeks to supplant hardware-specific Radio Access Network (RAN) components (e.g., the mobility management entity (MME) or base station (gNB)) with generic hardware, specialized software, and open signaling ...
Paul H. Masur +2 more
openaire +2 more sources
Structure‐forward targeting of claudins with synthetic binders
Claudins form the paracellular barriers between epithelial and endothelial tissues at tight junctions and are targets for molecular binders with the goal of modulating barrier permeability. Claudin‐binding molecules are relevant in drug delivery or in altering claudin interactions with disease‐causing proteins.
Alex J. Vecchio
wiley +1 more source
Mobility-aware QoS assurance in software-defined radio access networks: an analytical study [PDF]
Software-defined networking (SDN) has gained a tremendous attention in the recent years, both in academia and industry. This revolutionary networking paradigm is an attempt to bring the advances in computer science and software engineering into the ...
Andreas Bontozoglou +8 more
core +1 more source
Liver organoids: modelling complexity in homeostasis and disease
Studying liver in vitro has been challenging because simple 2D cell cultures fail to capture liver's cellular and architectural complexity. To bridge this gap, scientists increasingly use organoids, 3D liver models which better mimic liver composition and function. This review examines recent advances in liver organoid complexity and realism, discusses
Anna M. Dowbaj, Meritxell Huch
wiley +1 more source
Emerging experimental and computational methods for studying redox‐regulated structural transitions
Redox reactions can reshape proteins and alter how they behave in cells, with important consequences for health and disease. This review explores emerging experimental and computational approaches for discovering these redox‐sensitive protein switches, revealing their structural effects, and predicting their behavior, opening new opportunities to ...
Tasneem Rass +2 more
wiley +1 more source
Towards 5G:heterogeneous cellular network architecture design based on intelligent SDN paradigm
To enrich the SDN(software defined networking)with intelligence and learning capability,an intelligent SDN paradigm was proposed for the first time.Combining it with the traditional cellular networks,5G-oriented heterogeneous cellular network ...
Yifan ZHOU, Zhifeng ZHAO, Honggang ZHANG
doaj +2 more sources
Artificial molecular machines and motors—Design and control of nanoscale motion
Molecules are constantly moving because of thermal fluctuations, but random motion alone cannot be exploited to perform directional tasks. Artificial molecular machines use chemical, electrical, or light energy to bias this motion. Molecular shuttles, rotary motors, and supramolecular pumps illustrate how nanoscale movement can be controlled and ...
Leonardo Andreoni, Alberto Credi
wiley +1 more source
Social-Aware Edge Caching in Fog Radio Access Networks
Fog radio access networks (F-RANs) are becoming an emerging and promising paradigm for fifth generation cellular communication systems. In F-RANs, distributed edge caching techniques among remote radio heads (RRHs) and user equipment (UE) can effectively
Xiang Wang, Supeng Leng, Kun Yang
doaj +1 more source
ML-Assisted UE Positioning: Performance Analysis and 5G Architecture Enhancements
Artificial intelligence and data-driven networks will be integral part of 6G systems. In this article, we comprehensively discuss implementation challenges and need for architectural changes in 5G radio access networks for integrating machine learning ...
Muhammad Majid Butt +2 more
doaj +1 more source

