Alexander Osinsky

Orcid: 0000-0002-9956-8223

According to our database1, Alexander Osinsky authored at least 25 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
Round-Off Error Analysis in mMIMO Detector Based on Cholesky Decomposition.
IEEE Wirel. Commun. Lett., January, 2024

Volume-based subset selection.
Numer. Linear Algebra Appl., January, 2024

Low-rank Monte Carlo for Smoluchowski-class equations.
J. Comput. Phys., 2024

Performance Analysis of Fronthaul Compression in Massive MIMO Receiver.
CoRR, 2024

Probabilistic Examination of Least Squares Error in Low-bitwidth Cholesky Decomposition.
CoRR, 2024

Virtual Sectorization to Enable Hybrid Beamforming in mm-Wave mMIMO.
CoRR, 2024

Trainable Least Squares to Reduce PAPR in OFDM-based Hybrid Beamforming Systems.
CoRR, 2024

2023
Regularization for Cholesky Decomposition in Massive MIMO Detection.
IEEE Wirel. Commun. Lett., September, 2023

Training FFT to Select Beams in Massive MIMO.
IEEE Wirel. Commun. Lett., 2023

Close to optimal column approximations with a single SVD.
CoRR, 2023

Beamspace Selection in Multi-User Massive MIMO.
IEEE Access, 2023

2022
Direct simulation Monte Carlo for new regimes in aggregation-fragmentation kinetics.
J. Comput. Phys., 2022

2021
Lower Performance Bound for Beamspace Channel Estimation in Massive MIMO.
IEEE Wirel. Commun. Lett., 2021

Machine Learning-Assisted PAPR Reduction in Massive MIMO.
IEEE Wirel. Commun. Lett., 2021

Efficient Performance Bound for Channel Estimation in Massive MIMO Receiver.
IEEE Trans. Wirel. Commun., 2021

Machine Learning-Assisted Channel Estimation in Massive MIMO Receiver.
Proceedings of the 93rd IEEE Vehicular Technology Conference, 2021

Adaptive Channel Interpolation in High-Speed Massive MIMO.
Proceedings of the 93rd IEEE Vehicular Technology Conference, 2021

Spatial Denoising for Sparse Channel Estimation in Coherent Massive MIMO.
Proceedings of the 94th IEEE Vehicular Technology Conference, 2021

Data-Driven Beams Selection for Beamspace Channel Estimation in Massive MIMO.
Proceedings of the 93rd IEEE Vehicular Technology Conference, 2021

2020
Low-rank method for fast solution of generalized Smoluchowski equations.
J. Comput. Phys., 2020

Bayesian Approach to Channel Interpolation in Massive MIMO Receiver.
IEEE Commun. Lett., 2020

Data-Aided LS Channel Estimation in Massive MIMO Turbo-Receiver.
Proceedings of the 91st IEEE Vehicular Technology Conference, 2020

High Performance Interference Suppression in Multi-User Massive MIMO Detector.
Proceedings of the 91st IEEE Vehicular Technology Conference, 2020

Theoretical Performance Bound of Uplink Channel Estimation Accuracy in Massive MIMO.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Global Optimization Algorithms Using Tensor Trains.
Proceedings of the Large-Scale Scientific Computing - 12th International Conference, 2019


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