42 citations · 49 across the 9 of their papers we have counts for
9 papers
Mapper Side Geometric Shaping for QAM Constellations in 5G MIMO Wireless Channel with Realistic LDPC Codes
Daniil Yudakov, Dmitrii Kolosov, Evgeny Bobrov
In wireless communication systems, there are many stages for signal transmission. Among them, mapping and demapping convert a sequence of bits into a sequence of complex numbers an…
On Probability Shaping for 5G MIMO Wireless Channel with Realistic LDPC Codes
Evgeny Bobrov, Adyan Dordzhiev
Probability Shaping (PS) is a method to improve a Modulation and Coding Scheme (MCS) in order to increase reliability of data transmission. It is already implemented in some modern…
On the Interference Cancellation by Reduced Channel Zero Forcing Class of Precodings in Massive MIMO Systems
Dmitry Mineev, Evgeny Bobrov, Viktor Kuznetsov
In this paper, we study the interference cancellation capabilities of receivers and transmitters in multiple-input-multiple-output (MIMO) systems using theoretical calculations and…
Power Allocation Algorithms for Massive MIMO Systems with Multi-Antenna Users
Evgeny Bobrov, Boris Chinyaev, Viktor Kuznetsov +2
Modern 5G wireless cellular networks use massive multiple-input multiple-output (MIMO) technology. This concept entails using an antenna array at a base station to concurrently ser…
Machine Learning Methods for Spectral Efficiency Prediction in Massive MIMO Systems
Evgeny Bobrov, Sergey Troshin, Nadezhda Chirkova +4
Channel decoding, channel detection, channel assessment, and resource management for wireless multiple-input multiple-output (MIMO) systems are all examples of problems where machi…
Variational Autoencoders for Precoding Matrices with High Spectral Efficiency
Evgeny Bobrov, Alexander Markov, Sviatoslav Panchenko +1
Neural networks are used for channel decoding, channel detection, channel evaluation, and resource management in multi-input and multi-output (MIMO) wireless communication systems.…
Study on Precoding Optimization Algorithms in Massive MIMO System with Multi-Antenna Users
Evgeny Bobrov, Dmitry Kropotov, Sergey Troshin +1
The paper studies the multi-user precoding problem as a non-convex optimization problem for wireless multiple input and multiple output (MIMO) systems. In our work, we approximate…
Adaptive Regularized Zero-Forcing Beamforming in Massive MIMO with Multi-Antenna Users
Evgeny Bobrov, Boris Chinyaev, Viktor Kuznetsov +5
Modern wireless cellular networks use massive multiple-input multiple-output (MIMO) technology. This technology involves operations with an antenna array at a base station that sim…
Massive MIMO Adaptive Modulation and Coding Using Online Deep Learning Algorithm
Evgeny Bobrov, Dmitry Kropotov, Hao Lu +1
The paper describes an online deep learning algorithm (ODL) for adaptive modulation and coding in massive MIMO. The algorithm is based on a fully connected neural network, which is…