Results 1 to 10 of about 5,008 (117)

Fast Wideband Beamforming Using Convolutional Neural Network

open access: yesRemote Sensing, 2023
With the wideband beamforming approaches, the synthetic aperture radar (SAR) could achieve high azimuth resolution and wide swath. However, the performance of conventional adaptive wideband time-domain beamforming is severely affected as the received ...
Xun Wu   +4 more
doaj   +3 more sources

MMU-STCNN-BDQ: a deep reinforcement learning framework for secure and energy-efficient beamforming in 6G mMIMO networks [PDF]

open access: yesScientific Reports
To achieve energy-efficient and secure beamforming in 6G massive MIMO networks, especially in millimeter-wave (mmWave) bands. This research work introduces a hybrid framework utilizing the Massive Multi-User Spatiotemporal Convolutional Neural Network ...
Kama Ramudu   +5 more
doaj   +2 more sources

A deep learning driven hybrid beamforming method for millimeter wave MIMO system

open access: yesDigital Communications and Networks, 2023
The hybrid beamforming is a promising technology for the millimeter wave MIMO system, which provides high spectrum efficiency, high data rate transmission, and a good balance between transmission performance and hardware complexity.
Jienan Chen   +5 more
doaj   +1 more source

An Efficient Beamforming Architecture to Handle the Trade-Off Between Performance and Hardware Complexity in Multiuser Massive MISO Systems

open access: yesIEEE Access, 2022
Beamforming is the fundamental concept of wireless communications to serve several users through multiple-antenna transceivers. The advent of massive multiple-input multiple-output (MIMO) systems leads to an investigation into beamforming to reach ...
Jamal Beiranvand   +3 more
doaj   +1 more source

Machine Learning-Based Beamforming in K-User MISO Interference Channels

open access: yesIEEE Access, 2021
In this paper, we consider a K-user multiple-input and single-output interference channel and propose a machine learning-based beamforming design. To circumvent the difficulties of beamforming design in interference channels, we consider a beamforming ...
Hyung Jun Kwon, Jung Hoon Lee, Wan Choi
doaj   +1 more source

mmWave self-beam-tilting antenna array with low complexity and wide coverage

open access: yesAlexandria Engineering Journal, 2023
This paper proposes an effective planar mmWave switched beamforming antenna array with low complexity and wide beam coverage. The proposed structure is configured using multiple linearly polarized self-beam-tilting-antenna (SBTA) elements, eliminating ...
Ye-Bon Kim, Junhyuk Cho, Han Lim Lee
doaj   +1 more source

On Energy Efficiency of Wideband RIS-Aided Cell-Free Network

open access: yesIEEE Access, 2022
Cell-free (CF) network is a favorable technique against inter-cell interferences to improve the network capacity. However, to further improve the network capacity, a large number of base stations (BSs) are required to be deployed with high cost and power
Muhammad Zain Siddiqi   +3 more
doaj   +1 more source

ADAPTIVE BEAMFORMING TECHNIQUES FOR IMPROVED COMMUNICATION IN WSNS FOR 5G NETWORKS [PDF]

open access: yesProceedings on Engineering Sciences
The following research focuses on adaptive beamforming techniques to improve communication efficiency in WSNs integrated into 5G networks. Beamforming offers a better Signal-to-Interference-plus-Noise Ratio (SINR), reduces energy consumption, and ...
Aseel Qasim   +2 more
doaj   +1 more source

A Review of the State of the Art and Future Challenges of Deep Learning-Based Beamforming

open access: yesIEEE Access, 2022
The key objective of this paper is to explore the recent state-of-the-art artificial intelligence (AI) applications on the broad field of beamforming. Hence, a multitude of AI-oriented beamforming studies are thoroughly investigated in order to correctly
Haya Al Kassir   +5 more
doaj   +1 more source

A Machine Learning Approach for Beamforming in Ultra Dense Network Considering Selfish and Altruistic Strategy

open access: yesIEEE Access, 2020
Coordinated beamforming is very efficient at managing interference in ultra dense network. However, the optimal strategy remains as a challenge task to obtain due to the coupled nature among densely and autonomously deployed cells.
Changyin Sun, Zhao Shi, Fan Jiang
doaj   +1 more source

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