Results 51 to 60 of about 39,121 (219)

Location‐Assisted Graph‐Based User Scheduling in Multi‐User MIMO LEO NTN Systems

International Journal of Satellite Communications and Networking, EarlyView.
ABSTRACT This paper addresses user clustering and scheduling for multi‐user MIMO low Earth orbit nonterrestrial network systems in full frequency reuse. Since the number of on‐ground user terminals is usually much higher than the number of on‐board LEO satellite antennas, user scheduling becomes a fundamental task.
Bilal Ahmad, Daniel Gaetano Riviello, Bruno De Filippo, Alessandro Guidotti, Alessandro Vanelli‐Coralli   +4 more
wiley   +1 more source

Joint Noniterative Beamforming Schemes for BER Minimization in Next-Generation Wireless Sensor Networks

Journal of Electrical and Computer Engineering
This research paper proposes three joint transmit and receive (TX/RX) beamforming schemes for minimizing the bit error rates of next-generation wireless sensor networks. Based on minimizing the optimization problem of the total mean squared error between
Mohamed S. Abouzeid, Heba A. El-Khobby, Mahmoud A. A. Ali, Mohamed E. Nasr   +3 more
doaj   +1 more source

Robust beamforming design for UAV communications based on integrated sensing and communication

EURASIP Journal on Wireless Communications and Networking, 2023
Integrated sensing and communication (ISAC) has been a promising technique in various wireless communication applications. In this paper, we investigate a beamforming design method based on ISAC waveforms in unmanned aerial vehicle (UAV) communications ...
Haolin Zhang, Tao Yang, Xiaofeng Wu, Ziyu Guo, Bo Hu   +4 more
doaj   +1 more source

Beyond 5G and Non‐terrestrial Network (NTN) Integrated Architecture: Access Challenges for Expanding Artificial Intelligence of Things (AIoT)

International Journal of Satellite Communications and Networking, EarlyView.
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

Movable Antenna-Enhanced Multiuser Communication: Optimal Discrete Antenna Positioning and Beamforming [PDF]

, 2023
Yifei Wu, Dongfang Xu, Derrick Wing Kwan Ng, Wolfgang Gerstacker, Robert Schober   +4 more
openalex   +1 more source

Digital Twin‐Based Optimization of Service Availability in LEO Mega Constellations Considering Handover Delays in Open RAN

International Journal of Satellite Communications and Networking, EarlyView.
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, Luca Feltrin, Mustafa Ozger, Cicek Cavdar   +3 more
wiley   +1 more source

On the Construction of Moho Reflected Shear Wave Phases From Ambient Noise

Geophysical Research Letters, Volume 53, Issue 3, 16 February 2026.
Abstract Shear waves reflected from the Moho (SmS) are frequently identified in ambient noise cross‐correlation functions. Despite their consistent appearance across various arrays and studies, the physical origin and generation mechanisms of these SmS phases remain poorly understood.
Jinyun Xie, Yinhe Luo, Yingjie Yang, Ping Tong, Yanan Xie   +4 more
wiley   +1 more source

Holographic Beamforming

, 2023
This chapter presents the fundamentals of the holography technique to form the beam in electromagnetic (EM) structures. The application of holography in leaky-wave antennas, metasurface reflectors, and reconfigurable intelligent surfaces (RISs) is explained. Consequently, different methods to analyze and realize an EM hologram are presented.
Ali, Araghi,, Mohsen, Khalily,
openaire   +2 more sources

Predicting Atmospheric Effective Sound Speed Using Synthetic Infrasound and Machine Learning

Geophysical Research Letters, Volume 53, Issue 3, 16 February 2026.
Abstract We introduce a machine learning (ML) model that reconstructs atmospheric conditions at the location of an explosive source using regionally recorded synthetic infrasound. A convolutional neural network (CNN) processes full waveforms and source‐receiver geometries to estimate the vertical profile of effective sound speed.
Alex Witsil, Stefan Awender, David Fee, Roger Waxler, Mark Leidig   +4 more
wiley   +1 more source

Position Accuracy and Distributed Beamforming Performance in WSNs: A Simulation Study

Future Internet
This work investigates the performance of distributed beamforming in Wireless Sensor Networks (WSNs), focusing on the impact of node position errors. A comprehensive simulation testbed was developed to assess how varying network topologies and position ...
José Casca, Prabhat Gupta, Marco Gomes, Vitor Silva, Rui Dinis   +4 more
doaj   +1 more source