Category Ranking
98%
Total Visits
921
Avg Visit Duration
2 minutes
Citations
20
Article Abstract
Terahertz (THz) wireless communications can support ultra-high data rates and secure wireless links with miniaturized devices for unmanned aerial vehicle (UAV) communications. In this paper, a three-dimensional (3D) non-stationary geometry-based stochastic channel model (GSCM) is proposed for multiple-input multiple-output (MIMO) communication links between the UAVs in the THz band. The proposed channel model considers not only the 3D scattering and reflection scenarios (i.e., reflection and scattering fading) but also the atmospheric molecule absorption attenuation, arbitrary 3D trajectory, and antenna arrays of both terminals. In addition, the statistical properties of the proposed GSCM (i.e., the time auto-correlation function (T-ACF), space cross-correlation function (S-CCF), and Doppler power spectrum density (DPSD)) are derived and analyzed under several important UAV-related parameters and different carrier frequencies, including millimeter wave (mmWave) and THz bands. Finally, the good agreement between the simulated results and corresponding theoretical ones demonstrates the correctness of the proposed GSCM, and some useful observations are provided for the system design and performance evaluation of UAV-based air-to-air (A2A) THz-MIMO wireless communications.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12385914 | PMC |
| http://dx.doi.org/10.3390/e27080788 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Interictal Epileptiform Discharge Detection using Dual-domain Features and GAN.
IEEE J Biomed Health Inform
September 2025
Interictal Epileptiform Discharge is essential for identifying epilepsy. However, the unpredictable and non-stationary nature of electroencephalogram (EEG) patterns poses considerable challenges for reliable identification. Manual interpretation of EEG is subjective and time-consuming.
View Article and Find Full Text PDFThree-Dimensional Non-Stationary MIMO Channel Modeling for UAV-Based Terahertz Wireless Communication Systems.
Entropy (Basel)
July 2025
The 93135 Armed Force of China PLA, Beijing, China.
Terahertz (THz) wireless communications can support ultra-high data rates and secure wireless links with miniaturized devices for unmanned aerial vehicle (UAV) communications. In this paper, a three-dimensional (3D) non-stationary geometry-based stochastic channel model (GSCM) is proposed for multiple-input multiple-output (MIMO) communication links between the UAVs in the THz band. The proposed channel model considers not only the 3D scattering and reflection scenarios (i.
View Article and Find Full Text PDFReal-time respiratory motion forecasting with online learning of recurrent neural networks for accurate targeting in externally guided radiotherapy.
Comput Methods Programs Biomed
September 2025
National Institutes for Quantum and Radiological Science and Technology, 263-8555 Chiba, Japan.
Background And Objective: In lung radiotherapy, infrared cameras can track reflective objects on the chest to estimate tumor motion due to breathing. However, treatment system latencies hinder radiation beam precision. Real-time recurrent learning (RTRL), the conventional online learning approach for training recurrent neural networks (RNNs), is a potential solution that can learn patterns within non-stationary respiratory data but has high complexity.
View Article and Find Full Text PDFNon-stationary components in Electrograms localize arrhythmogenic substrates in a 3D model of human atria.
Comput Biol Med
June 2025
MATBIOM, Universidad de Medellín, Medellin, Colombia. Electronic address:
Catheter ablation, as a treatment for atrial fibrillation (AF), often yields low success rates in the advanced stages of the arrhythmia. Ablation procedures are guided by atrial mapping using electrogram (EGM) signals, which reflect local electrical activations. The primary goal is to identify arrhythmogenic mechanisms, such as rotors, to serve as ablation targets.
View Article and Find Full Text PDFGeometric uncertainty of patient-specific blood vessels and its impact on aortic hemodynamics: A computational study.
Comput Biol Med
May 2025
Institute of Structural Analysis, Graz University of Technology, Lessingstrasse 25, 8010 Graz, Austria. Electronic address:
In the context of numerical simulations of the vascular system, local geometric uncertainties have not yet been examined in sufficient detail due to model complexity and the associated large numerical effort. Such uncertainties are related to geometric modeling errors resulting from computed tomography imaging, segmentation and meshing. This work presents a methodology to systematically induce local modifications and perform a sufficient number of blood flow simulations to draw statistically relevant conclusions on the most commonly employed quantities of interest, such as flow rates or wall shear stress.
View Article and Find Full Text PDF