activity
20202026
most citedHigh Performance Interference Suppression in Multi-User Massive MIMO Detector

23 citations · 54 across the 8 of their papers we have counts for

collaborators

8 papers

eess.SP2026

Multi-Domain Iterative Detection for Massive Connectivity in LEO Satellite Networks

Xinhua Liu, Yueqing Wang, Keke Ying +7

Grant-Free (GF) random access is promising for low Earth orbit satellite Internet due to its reduced access latency. However, existing schemes suffer from poor performance in massi…

cs.IT2024

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…

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…

cs.OH2020★ 23 cited

High Performance Interference Suppression in Multi-User Massive MIMO Detector

Andrey Ivanov, Alexander Osinsky, Dmitry Lakontsev +1

In this paper, we propose a new nonlinear detector with improved interference suppression in Multi-User Multiple Input, Multiple Output (MU-MIMO) system. The proposed detector is a…

eess.SP2020★ 13 cited

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…

eess.SP2020★ 18 cited

Theoretical Performance Bound of Uplink Channel Estimation Accuracy in Massive MIMO

Alexander Osinsky, Andrey Ivanov, Dmitry Yarotsky

In this paper, we present a new performance bound for uplink channel estimation (CE) accuracy in the Massive Multiple Input Multiple Output (MIMO) system. The proposed approach is…