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
This is a python simulation of a MIMO communication system, including M-QAM modulation and demodulation.
Partial implementation of the research paper "Sohrabi, Foad, & Yu, Wei (2016). Hybrid Digital and Analog Beamforming Design for Large-Scale Antenna Arrays" in Python.
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.
NR 3GPP CSI codebook typeII and typeII-rel16 PMI coefficients and precoding matrix calculator
Baseline MATLAB code for Hybrid IRS-aided MU-MISO precoding — Physical Communication (Elsevier, 2026).
DS-CDMA multi-user detection, MIMO water-filling capacity, and SINR-constrained beamforming — built from scratch in MATLAB with interactive App Designer GUIs.
Digital Twin Aided Compressive Sensing: Enabling Site-Specific MIMO Hybrid Precoding
Deep Learning Model Based 1Bit Multiple Input Multiple Output Precoding in Communication Networks like 4G,5G,etc..
MATLAB simulation comparing MRT and Zero Forcing precoding in a Massive MIMO downlink: spectral efficiency vs SNR for 32, 64 and 128 antennas.
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