Vladimir Lyashev

Orcid: 0000-0002-6993-1589

Affiliations:
  • Moscow Institute of Physics and Technology, Department of Multimedia Technology and Telecommunication, Russia
  • Huawei Research Center, Moscow, Russia


According to our database1, Vladimir Lyashev authored at least 14 papers between 2010 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

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

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

Iterative Channel Estimation and Decoding For Monomial Codes.
Proceedings of the 97th IEEE Vehicular Technology Conference, 2023

2022
Reconfigurable Intelligent Surface MIMO Simulation using Quasi Deterministic Radio Channel Model.
Proceedings of the IEEE International Conference on Advanced Networks and Telecommunications Systems, 2022

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

Application of HBF with Adaptive Port Mapping for LEO Satellite Communication Systems.
Proceedings of the 94th IEEE Vehicular Technology Conference, 2021

2020
CSI Feedback Compression with Limited Downlink Pilots for 5G FDD-NR Massive MIMO Systems.
Proceedings of the IEEE Global Communications Conference, 2020

Doppler Spread Impact Minimization via Terminal Sensors Usage.
Proceedings of the IEEE International Black Sea Conference on Communications and Networking, 2020

2019
Reduced Redundancy Indexing for Beam-Time Delay CSI Compression in 5G FDD Massive MIMO Systems.
Proceedings of the 7th IEEE International Black Sea Conference on Communications and Networking BlackSeaCom 2019, 2019

2018
Reduced Space and Time-Delay Channel State Representation for 5G FDD Massive MIMO Systems.
Proceedings of the IEEE Global Communications Conference, 2018

DFT Based Beam-Time Delay Sparse Channel Representation for Channel State Information (CSI) Compression in 5G FDD Massive MIMO Systems.
Proceedings of the 2018 IEEE International Black Sea Conference on Communications and Networking, 2018

2010
Evaluation of Nonfailure Operation Time of Power System Elements in Virtual Test Bed Environment via Time-Frequency Analysis.
IEEE Trans. Instrum. Meas., 2010


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