Results 61 to 70 of about 656 (174)
Path Selection‐Based Beamforming Design for RIS‐Aided mmWave Massive MIMO Systems
IET Communications, Volume 20, Issue 1, January/December 2026.This paper investigates the beamforming design for reconfigurable intelligent surface (RIS)‐aided millimetre‐wave (mmWave) massive MIMO systems. The key idea is a subspace‐oriented dominant path selection strategy that explicitly accounts for inter‐path correlation and improves the conditioning of the resulting reduced‐dimensional effective channel ...
Ye Wang +4 more
wiley +1 more source
PSO Algorithm on PAPR Reduction Performance of Asymmetrically Clipped Optical‐OFDM
Applied Computational Intelligence and Soft Computing, Volume 2026, Issue 1, 2026.This research presents a novel hybrid optimization framework combining artificial neural networks (ANN) and particle swarm optimization (PSO) to mitigate the high peak‐to‐average power ratio (PAPR) in asymmetrically clipped optical‐orthogonal frequency division multiplexing (ACO‐OFDM) systems. While conventional PTS effectively reduces PAPR, it suffers
Hermansyah Alam +5 more
wiley +1 more source
Journal of Electrical and Computer Engineering, Volume 2026, Issue 1, 2026.The integration of reconfigurable intelligent surfaces (RIS) into multiple‐input multiple‐output (MIMO) systems offers transformative potential for enhancing spectral efficiency and mitigating channel impairments. However, efficient and accurate channel estimation (CE) remains a critical challenge due to multipath propagation, high dimensionality, and ...
Kevin M. Mwongera +3 more
wiley +1 more source
RIS‐Assisted Beam Selection System Using CNN for 6G Wireless Communications
Journal of Electrical and Computer Engineering, Volume 2026, Issue 1, 2026.Reconfigurable intelligent surfaces (RISs) are a promising technology for improving mobile communication performance due to their ability to shape the propagation environment. In this paper, an RIS‐assisted beamforming framework is proposed with low computational complexity.
M. F. Ghanim +2 more
wiley +1 more source
Machine Learning Inspired Hybrid Precoding for Wideband Millimeter-Wave Massive MIMO Systems
IEEE Access, 2019 Millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) has already been considered as a promising solution to meet the requirement of the higher data rate for the future Internet of Things (IoTs). Hybrid precoding is an effective solution
Talha Mir +4 more
doaj +1 more source
Journal of Tropical Medicine, Volume 2026, Issue 1, 2026.Background Rotavirus A remains a leading cause of acute gastroenteritis in children under 5 years of age across Asia, despite expanding vaccination programs. This study systematically synthesizes available evidence on rotavirus A detection among pediatric populations in Asian countries.
Ali A. Rabaan +21 more
wiley +1 more source
Hybrid Precoding Design for MIMO System With One-Bit ADC Receivers
IEEE Access, 2018 When wireless transmission is performed over the bandwidth in the order of a gigahertz, high-resolution analog-to-digital converters (ADCs), and the large number of radio frequency chains significantly increase the power consumption.
Qitong Hou +3 more
doaj +1 more source
Adaptive Beam Splitting-Based Broadband Hybrid Precoding for Terahertz Massive MIMO. [PDF]
Sensors (Basel), 2023 Xu L, Liu Y, Chang J, Fang H, Li X.
europepmc +1 more source
Low Complexity Hybrid Precoding Designs for Multiuser mmWave/THz Ultra Massive MIMO Systems. [PDF]
Sensors (Basel), 2021 Pavia JP +6 more
europepmc +1 more source
Machine Learning-Inspired Hybrid Precoding for mmWave MU-MIMO Systems with Domestic Switch Network. [PDF]
Sensors (Basel), 2021 Li X, Huang Y, Heng W, Wu J.
europepmc +1 more source