Results 21 to 30 of about 82,705 (221)
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
Manifold sparse beamforming [PDF]
2013 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2013 We consider the minimum variance distortionless response (MVDR) beamforming problems where the array covariance matrix is rank deficient. The conventional approach handles such rank-deficiencies via diagonal loading on the covariance matrix. In this setting, we show that the array weights for optimal signal estimation can admit a sparse representation ...
Gozcu, Baran +2 more
openaire +1 more source
Deep Learning Based Decentralized Beamforming Methods for Multi-Antenna Interference Channels
IEEE Access, 2023 This paper develops deep learning (DL) based beamforming approaches for multi-antenna interference channels where several base stations (BSs) individually optimize their own beamforming vectors in a decentralized manner.
Minseok Kim +3 more
doaj +1 more source
Cross-correlation beamforming [PDF]
Journal of Seismology, 2016 An areal distribution of sensors can be used for estimating the direction of incoming waves through beamforming. Beamforming may be implemented as a phase-shifting and stacking of data recorded on the different sensors (i.e., conventional beamforming).
Ruigrok, E.N. (author) +2 more
openaire +5 more sources
On the effect of SNR and superdirective beamforming in speaker diarisation in meetings [PDF]
, 2012 This paper examines the effect of sensor performance on speaker diarisation in meetings and investigates the use of more advanced beamforming techniques, beyond the typically employed delay-sum beamformer, for mitigating the effects of poorer sensor ...
Lincoln, M., Renals, S., Zwyssig, E.
core +2 more sources
Precision planter monitoring system based on mobile communication network
IET Networks, EarlyView., 2022 Abstract Sowing is an important link in agricultural production and the basis for ensuring high yields and bumper harvests. Agriculture requires precision plows with good performance and stable work. However, the seeding process is in a completely closed state, and the operator relies mainly on experience to judge the operating state and performance of
Bing Li, Jiyun Li
wiley +1 more source
Beamforming Design for Downlink Non-Orthogonal Multiple Access Systems
IEEE Access, 2018 This paper investigates the beamforming design for multiple-input single-output nonorthogonal multiple access (NOMA) downlink systems. The NOMA beamforming design is formulated as a weighted sum rate maximization (WSRM) problem with decoding order ...
Fusheng Zhu +4 more
doaj +1 more source
Beamforming Technologies for Ultra-Massive MIMO in Terahertz Communications
IEEE Open Journal of the Communications Society, 2023 Terahertz (THz) communications with a frequency band 0.1 – 10 THz are envisioned as a promising solution to future high-speed wireless communication.
Boyu Ning +7 more
doaj +1 more source
True-Time-Delay Receiver IC With Reconfigurable Analog and Digital Beamforming
IEEE Access, 2022 Spatial diversity advantages such as improved signal-to-noise ratio and in-band blocker filtering can be achieved through beamforming in the digital and/or analog domain.
Kalle Spoof +5 more
doaj +1 more source
Performance evaluation of 5G millimeter-wave cellular access networks using a capacity-based network deployment tool [PDF]
, 2017 The next fifth generation (5G) of wireless communication networks comes with a set of new features to satisfy the demand of data-intensive applications: millimeter-wave frequencies, massive antenna arrays, beamforming, dense cells, and so forth.
Deruyck, Margot +4 more
core +3 more sources