Results 81 to 90 of about 10,056 (178)
Joint User Scheduling and MU-MIMO Hybrid Beamforming Algorithm for mmWave FDMA Massive MIMO System
The large bandwidth and multipath in millimeter wave (mmWave) cellular system assure the existence of frequency selective channels; it is necessary that mmWave system remains with frequency division multiple access (FDMA) and user scheduling. But for the
Jing Jiang, Deting Kong
doaj +1 more source
A review on underwater beamforming: Techniques, challenges, and future directions
This paper comprehensively reviews recent advancements in Underwater Beamforming (UWB) systems, highlighting its pivotal role in underwater communication, sensing, and environmental monitoring.
Ruba Zaheer +6 more
doaj +1 more source
Joint temporal-spatial reference beamforming: EIG beamforming
Traditional methods for beamforming can be grouped in two families, the time reference beamformer and the spatial reference beamforming. Nevertheless, the increasing demand on receivers for location systems and high bandwidth over frequency selective fading able to properly manage multipath and co-channel interference motivates the need for versatile ...
Lagunas Hernandez, Miguel A. +2 more
openaire +1 more source
Breast cancer is a global health concern, emphasizing the need for early detection. However, current mammography struggles to effectively image dense breasts.
Zuoxun Hou +6 more
doaj +1 more source
Graph Neural Network-Based Unified Beamforming and User Selection for MU-MISO
Classical beamforming algorithms face challenges such as increased complexity with more users and base station antennas (BSAs), as well as the requirement of accurate channel state information (CSI).
Wooseok Woo +3 more
doaj +1 more source
To achieve robust detection on small-scale platforms like unmanned undersea vehicles(UUVs), which are characterized by their limited maneuverability and array apertures, various beamforming algorithms were designed by leveraging U-shaped conformal planar
Shiyu GONG, Erzheng FANG, Jianing ZHANG
doaj +1 more source
Deep learning approach for hybrid beamforming design in MU-MISO mmWave systems
Hybrid beamforming is a promising approach to alleviate hardware complexity in multi-user multiple-input single-output (MU-MISO) systems while maintaining high data rate performance.
Ebrahim Ghaith +3 more
doaj +1 more source
Enhancing Spectral Efficiency of 6G Downlink Beamforming via Cooperative Multi-Agent Deep Reinforcement Learning. [PDF]
Al Janaby A, Al-Rizzo H, Qassim Y.
europepmc +1 more source
BeamNet: Unsupervised Beamforming for ISAC Systems Under Imperfect CSI. [PDF]
Nimnaka H +4 more
europepmc +1 more source
Modified prioritized DDPG algorithm for joint beamforming and RIS phase optimization in MISO downlink systems. [PDF]
Shukry S, Fahmy Y.
europepmc +1 more source

