Results 201 to 210 of about 3,316 (273)

Path‐Based Deep Reinforcement Learning for On‐Board Routing in Satellite Constellation Networks

open access: yesInternational Journal of Satellite Communications and Networking, EarlyView.
ABSTRACT Efficient usage of available network resources is a crucial factor for broadband services in interconnected satellite constellations. To meet required quality of service standards under heavy network loads, it is essential to optimize traffic distribution among the intersatellite links. To address this challenge, we propose an adaptive traffic
Manuel M. H. Roth   +4 more
wiley   +1 more source

Generic eigenvalue assignment by memoryless real output feedback.

open access: yes
Schumacher, J.M.   +2 more
core  

Preprocessing Procedure for Propagation Measurements on MEO Satellite Links

open access: yesInternational Journal of Satellite Communications and Networking, EarlyView.
ABSTRACT This paper presents a software tool designed for preprocessing data from an experimental campaign aimed at characterizing the tropospheric propagation channel using Medium Earth Orbit (MEO) satellites. The collected data provide critical insights into the channel in scenarios involving continuous variations in azimuth and elevation, along with
Marlene Brás   +2 more
wiley   +1 more source

Disrupted developmental signaling induces novel transcriptional states. [PDF]

open access: yesProc Natl Acad Sci U S A
Patel AL   +5 more
europepmc   +1 more source

Tracing Three Decades of Low Earth Orbit Satellite Communication Development: A Bibliometric and Main Path Analysis of Network Architectures, Protocol Evolution, and Emerging Intelligent Services

open access: yesInternational Journal of Satellite Communications and Networking, EarlyView.
ABSTRACT Low Earth Orbit (LEO) satellite communication systems have evolved into a critical component of global broadband networks, enabling wide‐area connectivity, IoT services, and intelligent multilayer satellite–terrestrial integration. Despite rapid advancements in constellation deployment, routing mechanisms, resource management, and LEO–5G/6G ...
Wei‐Hao Su   +2 more
wiley   +1 more source

Integrating Image Segmentation and Deep Learning to Improve Radio Frequency Propagation Models

open access: yesInternational Journal of Satellite Communications and Networking, EarlyView.
ABSTRACT This paper proposes a multi‐sensor approach to improve radio frequency (RF) propagation models, which play a key role in the rapidly expanding field of connected vehicle technology. Focusing on the 1‐ to 20‐GHz frequency range, which is critical for both satellite‐to‐vehicle and base station‐to‐vehicle communications, our study introduces a ...
Jonathan Israel   +2 more
wiley   +1 more source

Home - About - Disclaimer - Privacy