Results 31 to 40 of about 809 (176)

Performance Evaluation of Full-Duplex IAB Multi-Cell and Multi-User Network for FR2 Band

IEEE Access, 2021
One of the approaches to support high data rates in beyond 5G cellular networks is the dense deployment of the small cell millimeter-wave (frequency range 2 (FR2)) ( $>24.5$ GHz) base stations. However, this dense deployment of base stations leads to
A. Bishnu, M. Holm, T. Ratnarajah
doaj   +1 more source

Low‐Complexity Hybrid Beamforming for LEO Satellites: Beam Update Rate Analysis and Advanced Adaptive Precoding

International Journal of Satellite Communications and Networking, EarlyView.
ABSTRACT Low Earth Orbit (LEO) satellite constellations offer unprecedented opportunities for global broadband connectivity but pose significant beamforming challenges due to rapid platform motion and stringent onboard hardware constraints. Fully digital architectures, while optimal in theory, remain impractical for satellite payloads, motivating ...
Mohammad Momani, Thomas Delamotte, Andreas Knopp   +2 more
wiley   +1 more source

End-to-End Simulation of Integrated Access and Backhaul at mmWaves [PDF]

2018 IEEE 23rd International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), 2018
8 pages, 5 figures, 1 table.
Polese, Michele, Giordani, Marco, Roy, Arnab, Goyal, Sanjay, Castor, Douglas, Zorzi, Michele   +5 more
openaire   +3 more sources

Geometric Characterization of LEO–GEO Inter‐Satellite Links for Bidirectional Communications

International Journal of Satellite Communications and Networking, EarlyView.
ABSTRACT Incorporating geosynchronous Earth orbit (GEO) and low Earth orbit (LEO) satellites can extend communication services far beyond the reach of terrestrial infrastructure. A key enabler of such architectures is the establishment of inter‐satellite links (ISLs) between LEOs and GEOs to support bidirectional communications.
Muhammad Furqan, Lingfeng Ye, Yanming Feng   +2 more
wiley   +1 more source

Resource Optimization in Multi-Hop IAB Networks: Balancing Data Freshness and Spectral Efficiency

IEEE Transactions on Machine Learning in Communications and Networking
This work proposes a multi-objective resource optimization framework for integrated access and backhaul (IAB) networks, tackling the dual challenges of timely data updates and spectral efficiency under dynamic wireless conditions.
Sarder Fakhrul Abedin, Aamir Mahmood, Zhu Han, Mikael Gidlund   +3 more
doaj   +1 more source

Mechanism‐Guided Engineering of Upconversion Nanoparticles for Antibacterial Phototherapy: From Photonic Principles to Translational Nanosystems

Small, EarlyView.
This review provides a systematic overview of the field of antibacterial PhotoDynamic Therapy (aPDT) triggered by upconversion nanoparticles (UCNPs), focusing on the mechanisms and the key factors that define their efficacy for generating bactericidal species upon NIR‐light activation.
Zhe Li, Calum Johnston, Barbara Lonetti, Clément Roux   +3 more
wiley   +1 more source

From Architecture to Field Trial: A Scheme of mmWave Based IAB and Small Base Station of Commercial Frequency for the Communication of Subway Tunnel Scenario

IEEE Access, 2023
With the increasing scarcity of spectrum resources and the continuous exploration of high-frequency spectrum resources, millimeter wave (mmWave) has been introduced to 5G deployment scenarios, one of which is the high-speed railway wireless networks ...
Xiaoyin Zhao, Fei Qi, Weiliang Xie
doaj   +1 more source

Airborne Integrated Access and Backhaul Systems: Learning-Aided Modeling and Optimization

IEEE Transactions on Vehicular Technology, 2023
The deployment of millimeter-wave (mmWave) 5G New Radio (NR) networks is hampered by the properties of the mmWave band, such as severe signal attenuation and dynamic link blockage, which together limit the cell range. To provide a cost-efficient and flexible solution for network densification, 3GPP has recently proposed integrated access and backhaul ...
Nikita Tafintsev, Dmitri Moltchanov, Alessandro Chiumento, Mikko Valkama, Sergey Andreev 0001   +4 more
openaire   +5 more sources

Future of edge AI in biodiversity monitoring

Methods in Ecology and Evolution, EarlyView.
Abstract Many ecological decisions are slowed by the gap between collecting and analysing biodiversity information. Edge computing moves data processing closer to the sensor, with edge artificial intelligence (AI) using AI models for data processing and selective data transfer.
Aude Vuilliomenet, Kate E. Jones, Duncan Wilson   +2 more
wiley   +1 more source

Intelligent Backhaul Link Selection for Traffic Offloading in B5G Networks

IEEE Access
Fifth Generation (5G) mobile networks considers an expansive set of heterogeneous services with stringent Quality of Service (QoS) requirements, and traffic demand with inherent spatial-temporal distribution, which places the backhaul network deployment ...
Antonio J. Morgado, Firooz B. Saghezchi, Pablo Fondo-Ferreiro, Felipe Gil-Castineira, Jonathan Rodriguez   +4 more
doaj   +1 more source