Optimization algorithms for hybrid precoding in mmWave MIMO systems: Version 1.1.0
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Updated
Jan 5, 2023 - MATLAB
Optimization algorithms for hybrid precoding in mmWave MIMO systems: Version 1.1.0
Linear and Nonlinear precoding in downlink Multi-user Massive MIMO systems
Low-Complexity Precoding for Extremely Large-Scale MIMO Over Non-Stationary Channels
Matlab codes for the paper "Deep-Learning Based Linear Precoding for MIMO Channels with Finite-Alphabet Signaling" by Max Girnyk, Physical Communication, vol. 48, 101402, Oct. 2021.
This is a python simulation of a MIMO communication system, including M-QAM modulation and demodulation.
Partial implementaition of the paper "Sohrabi, Foad, & Yu, Wei (2016). Hybrid Digital and Analog Beamforming Design for Large-Scale Antenna Arrays" in python.
Digital Twin Aided Compressive Sensing: Enabling Site-Specific MIMO Hybrid Precoding
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