Hybrid Beamforming for IoT Sensor Communications

This code simulates a hybrid beamforming technique for IoT sensor communication applications.
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Updated 24 Apr 2023

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The code consists of three main steps: channel estimation, hybrid beamforming, and performance evaluation. In the channel estimation step, the code generates a pilot signal, transmits it through a randomly generated channel matrix, and estimates the channel using the received pilot signal. In the hybrid beamforming step, the input signal is processed by applying analog and digital beamforming sequentially. Analog beamforming weights are computed based on the desired direction and applied to the input signal. Then, digital beamforming weights are calculated using the estimated channel matrix and desired direction, and applied to the analog beamformed signal. The performance evaluation step computes and visualizes the signal-to-noise ratio (SNR) of the received digital beamformed signal. The code also includes functions for channel estimation, analog beamforming, and digital beamforming, which provide modular and reusable components for implementing the hybrid beamforming technique.

Cite As

Ardavan Rahimian (2024). Hybrid Beamforming for IoT Sensor Communications (https://www.mathworks.com/matlabcentral/fileexchange/128413-hybrid-beamforming-for-iot-sensor-communications), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2023a
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Version Published Release Notes
1.0