42 citations · 49 across the 9 of their papers we have counts for
5 papers · 1 filter
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…