3 papers
cs.IT2024
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…
cs.OH2024
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…
cs.OH2024
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…