13 citations · 13 across the 5 of their papers we have counts for
5 papers
Performance Analysis of Fronthaul Compression in Massive MIMO Receiver
Roman Bychkov, Andrey Dergachev, Alexander Osinsky +2
Future generations of cellular systems presume to use an extremely high number of antennas to enable mm waves. Increasing the number of antennas requires a growth in connections be…
Probabilistic Examination of Least Squares Error in Low-bitwidth Cholesky Decomposition
Alexander Osinsky, Roman Bychkov, Mikhail Trefilov +2
In this paper, we propose a new approach to justify a round-off error impact on the accuracy of the linear least squares (LS) solution using Cholesky decomposition. This decomposit…
Virtual Sectorization to Enable Hybrid Beamforming in mm-Wave mMIMO
Roman Bychkov, Andrey Dergachev, Alexander Osinsky +2
Hybrid beamforming (HBF) is a key technology to enable mm-wave Massive multiple-input multiple-output (mMIMO) receivers for future-generation wireless communications. It combines b…
Trainable Least Squares to Reduce PAPR in OFDM-based Hybrid Beamforming Systems
Andrey Ivanov, Alexander Osinsky, Roman Bychkov +2
In this paper, we propose a trainable least squares (LS) approach for reducing the peak-to-average power ratio (PAPR) of orthogonal frequency division multiplexing (OFDM) signals i…
Data-Aided LS Channel Estimation in Massive MIMO Turbo-Receiver
Alexander Osinsky, Andrey Ivanov, Dmitry Lakontsev +2
In this paper, we propose a new algorithm of iterative least squared (LS) channel estimation for 64 antennas Massive Multiple Input, Multiple Output (MIMO) turbo-receiver. The algo…