Results 21 to 30 of about 41,325 (264)
Random beamforming OFDMA for future generation cellular communication systems [PDF]
, 2007 This paper presents a downlink performance analysis of a Layered Random Beamforming (LRB) - MIMO-OFDMA Physical Layer (PHY) as applicable to future generation wireless communication systems.
Joe McGeehan +9 more
core +1 more source
Reducing feedback requirements of the multiple weight opportunistic beamforming scheme via selective multiuser diversity [PDF]
, 2008 Opportunistic beamforming (OB) relies on the transmission of Channel State Information (CSI) in the form of instantaneous Signal to Noise Ratio (SNR) from Mobile Stations (MSs) back to the Base Station (BS) for scheduling purposes that increase ...
Nicolaou, M +5 more
core +1 more source
Robust Beamforming for Ultrasonic Imaging using Wavelet-based Thresholding and Coherence Weighting [PDF]
International Journal of Industrial Electronics, Control and OptimizationThe delay-and-sum (DS) beamforming and delay-weight-and-sum (DWS) beamforming are primary methods in ultrasonic imaging with phased arrays. Total focusing method (TFM) and Minimum Variance (MV) based adaptive beamforming are well-known methods within DS ...
Mozhgan Ehsani +2 more
doaj +1 more source
Advanced Hybrid Beamforming Technique in MU-MIMO Systems
Applied Sciences, 2020 This paper proposes a high performance wireless commmunication technology in MU-MIMO systems. The millimeter wave (mmWave) communication technology was considered for the future wireless communication systems such as the fifth-generation new radio (5G NR)
Seong-Joon Shim +5 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
, 2012 Beamforming is one of the most commonly used methods for estimating the active neural sources from the MEG or EEG sensor readings. The basic assumption in beamforming is that the sources are uncorrelated, which allows for estimating each source independent of the others.
Ali Bahramisharif +4 more
openaire +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
Adaptive beamforming for large arrays in satellite communications systems with dispersed coverage [PDF]
, 2011 Conventional multibeam satellite communications systems ensure coverage of wide areas through multiple fixed beams where all users inside a beam share the same bandwidth. We consider a new and more flexible system where each user is assigned his own beam,
Larue de Tournemine, Cécile +5 more
core +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
An Efficient Scheme for Broadband Adaptive Beamforming [PDF]
, 1999 This paper introduces an oversampled subband approach to linearly constrained minimum variance adaptive broadband beamforming. This method is motivated by the considerable reduction in computation over fullband implementation and resulting large ...
S. Weiss +18 more
core +1 more source