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Multi‐Dimensional Physical‐Layer Security via Digitally Mediated Space–Time Modulation [PDF]
Advanced Science, EarlyView.Digitally mediated space–time modulation moves radiation control beyond hardware‐bound switching. Multiple information‐bearing and masking waveforms are jointly synthesized at baseband and coherently coupled to simple periodic time modulation, enabling programmable, independently directed multi‐beam radiation without increasing switching‐state ...
Kejin Chen +8 more
wiley +2 more sources
A deep learning driven hybrid beamforming method for millimeter wave MIMO system
Digital 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
Hybrid Beamforming in Massive MIMO for Next-Generation Communication Technology
Sensors, 2023 Hybrid beamforming is a viable method for lowering the complexity and expense of massive multiple-input multiple-output systems while achieving high data rates on track with digital beamforming.
Shahid Hamid +7 more
doaj +1 more source
Machine Learning-Based Beamforming in K-User MISO Interference Channels
IEEE 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
Assessment of multi-target distinguishing using deconvolved conventional beamforming [PDF]
MATEC Web of Conferences, 2019 Multi-target distinguishing based on beamforming is a popular topic in array signal processing. Conventional beamforming as a frequently used method is robust but constrained by the Rayleigh limit.
Lan Hualin +4 more
doaj +1 more source
IEEE Journal of Microwaves, 2021 Orthogonality in multibeam antennas is revisited. The difference between orthogonal beamforming and zero-forced beamforming is highlighted. The intriguing relation between orthogonality, reciprocity and losses is recapitulated.
Yanki Aslan +4 more
doaj +1 more source
Distributed beamforming with one‐bit feedback and clustering for multi‐node wireless energy transfer
ETRI Journal, 2021 To resolve energy depletion issues in massive Internet of Things sensor networks, we developed a set of distributed energy beamforming methods with one‐bit feedback and clustering for multi‐node wireless energy transfer, where multiple single‐antenna ...
Jonghyeok Lee +4 more
doaj +1 more source
, 2023 <p><strong>Full Changelog</strong>: https://github.com/jdassink/beamforming/commits/beamforming</p ...
Jelle Assink
core +1 more source
A Review of the State of the Art and Future Challenges of Deep Learning-Based Beamforming
IEEE 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
Broadband Beamforming Using the Least Square Method Improved via Adaptive Diagonal Loading [PDF]
Journal of Electromagnetic Engineering and Science, 2023 The least square method (LSM) is a commonly used beamforming method. However, it limits the beamforming frequency bandwidth and is vulnerable to noise; therefore, diagonal loading is used to overcome these limitations.
Euiho Shin +4 more
doaj +1 more source