matlab-deep-learning/CSINet-Channel-Compression-in-MATLAB-Using-Keras

This example shows how to co-execute MATLAB and Python to simulate the effect of channel estimate compression on precoding in a MIMO OFDM channel.

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This project helps wireless engineers evaluate how compressing channel state information (CSI) affects signal quality in 5G wireless systems. It takes raw channel estimates, processes them through a pre-trained or fine-tuned deep learning model, and outputs visualizations of the signal constellation and performance metrics. This allows wireless communication system designers to understand the trade-offs of using deep learning for CSI feedback.

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Use this if you are a wireless communication engineer or researcher working with MATLAB and Python, and need to simulate and visualize the impact of deep learning-based channel estimate compression on precoding in a MIMO OFDM system.

Not ideal if you primarily need to build deep learning models from scratch in MATLAB or require advanced deep learning code generation capabilities, as this focuses on co-execution with existing Python/Keras models.

5G-wireless-design MIMO-OFDM channel-estimation signal-processing telecommunications-engineering
Stale 6m No Package No Dependents
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MATLAB

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Last pushed

Sep 17, 2024

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