Results 71 to 80 of about 7,523 (232)
Dynamic Cell Division for Interference Management in Satellite Direct‐to‐Cell Systems
ABSTRACT Direct‐to‐cell (D2C) connectivity enables future non‐terrestrial networks to provide service directly to standard terrestrial user equipment (UE) when terrestrial networks (TN) are unavailable. In this work, the satellite system is considered as a secondary network that supplements existing TN coverage while minimizing interference to the ...
Satya Chan +3 more
wiley +1 more source
Adaptive beamforming assisted receiver
Adaptive beamforming is capable of separating user signals transmitted on the same carrier frequency, and thus provides a practical means of supporting multiusers in a space-division multiple-access scenario.
Sheng Chen, Chen, Sheng
core
DFT-based Beamforming Weight-Vector Codebook Design for Spatially Correlated Channels in the Unitary Precoding Aided Multiuser Downlink [PDF]
—The DFT-based beamforming weight-vector code-book is considered as an effective design for spatially correlated channels. In this paper, we demonstrate that when the antenna elements are uniformly spaced as well as linearly arranged, and the channels ...
Yang, Lie-Liang +5 more
core +1 more source
Distributionally Robust Adaptive Beamforming
As a fundamental technique in array signal processing, beamforming plays a crucial role in amplifying signals of interest (SoI) while mitigating interference plus noise (IPN). When uncertainties exist in the signal model or the data size of snapshots is limited, the performance of beamformers significantly degrades.
Shixiong Wang +2 more
openaire +2 more sources
Aerial and Space‐Borne Seismology on Venus: Viability and Design Implications for Future Missions
Abstract Venus' evolution remains a mystery because of the lack of in situ geophysical data to constrain its interior structure. Recently‐selected planetary missions VERITAS (NASA), DAVINCI+ (NASA), and EnVision (ESA) will investigate the planet's interior, surface, and atmospheric chemistry.
Quentin Brissaud +9 more
wiley +1 more source
Enhancing Adaptive Beamforming in 3-D Space Through Self-Improving Neural Network Techniques
In the rapidly evolving domain of wireless networks, adaptive beamforming stands as a cornerstone for achieving higher data rates, enhanced network capacity, and reduced latency.
Ioannis Mallioras +4 more
doaj +1 more source
Adapting Deep Learning Phase Detectors for Seismic Array Processing
Abstract Deep learning (DL) has considerably advanced single‐station seismic phase detection, but its integration into seismic array processing remains largely unexplored. We evaluate three strategies for adapting the previously developed TPhaseNet detector for regional phase detection to array data: (a) ensemble detection through stacking of single ...
A. Köhler +3 more
wiley +1 more source
A minimum approximate-BER beamforming approach for PSK modulated wireless systems
A beamforming algorithm is introduced based on the general objective function that approximates the bit error rate for the wireless systems with binary phase shift keying and quadrature phase shift keying modulation schemes.
Hong, Xia +3 more
core +1 more source
Model-Switched Beamformer with Large Dynamic Range
The strong desired signal will be mitigated due to “self-nulling” for the adaptive beamformer, even if the array calibration is used. The proposed methodology switches the models between phased array and adaptive array.
Zeng Hao +3 more
doaj +1 more source
Adaptive beamforming in the ocean. [PDF]
In the nonstationary ocean acoustic environment, the temporal coherence of the noise field may be substantially shorter than the time required to calculate the weights in frequency-domain adaptive beamformers with large numbers of degrees of freedom.
John M. Davies +3 more
openaire +1 more source

