ABSTRACT This study analyzes the architecture of the beyond 5G‐NTN (Non‐terrestrial Network) integrated network and presents the technical, legal, and regulatory challenges and considerations for expanding the Artificial Intelligence of Things (AIoT) ecosystem.
Byung Woon Kim, Ga Eun Choi
wiley +1 more source
Open-source, low-cost 3D-printable testbed for in-body optical wireless communications research. [PDF]
Fuada S +4 more
europepmc +1 more source
A Polarization-Modulated Information Metasurface for Encryption Wireless Communications. [PDF]
Wang HL, Ma HF, Cui TJ.
europepmc +1 more source
ABSTRACT As non‐terrestrial networks (NTNs) become integral to future 6G systems, ensuring seamless connectivity and service continuity over low Earth orbit (LEO) satellite constellations is essential. This work investigates the impact of open radio access network (RAN) functional splits on handover performance in NTNs, focusing on minimizing service ...
Siva Satya Sri Ganesh Seeram +3 more
wiley +1 more source
Protocol-Agnostic Meta Key Distribution for Encrypted Wireless Communications Enabled by Space-Time-Coding Metasurface. [PDF]
Li X +7 more
europepmc +1 more source
Superdirective Wideband Array of Circular Monopoles with Loaded Patches for Wireless Communications. [PDF]
Lu P, Liu Z, Lei E, Huang K, Song C.
europepmc +1 more source
Three‐Year Propagation Experiment at Ku‐, Ka‐, and Q‐Band in French West Indies
ABSTRACT From January 2021 to December 2023, the Office National d'Etudes et de Recherches Aérospatiales (ONERA) and the Centre National d'Etudes Spatiales (CNES) conducted a three‐year Earth‐space propagation measurement campaign in Guadeloupe. The experiment used beacon receivers deployed in Pointe‐à‐Pitre airport to record signals at 11.2, 19.7, and
Jean‐Pascal Monvoisin +3 more
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Recent Advances in Metasurfaces: From THz Biosensing to Microwave Wireless Communications. [PDF]
Wang Y +11 more
europepmc +1 more source
Comparison of different New Radio (NR) waveforms for wireless communications. [PDF]
Baki AKM.
europepmc +1 more source
Path‐Based Deep Reinforcement Learning for On‐Board Routing in Satellite Constellation Networks
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

