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MATLAB Code for Semiblind Sparse Channel Estimation in 5G and Beyond Wireless Networks
"Advanced wireless communication systems operating in millimeter-wave (mmWave) and massive Multiple-Input Multiple-Output (MIMO) environments require precise channel state information (CSI) for beamforming and signal detection. Because these propagation channels are characterized by high path loss and limited scatterers, they exhibit a strong physical property known as sparsity. Leveraging this sparsity via compressive sensing frameworks significantly reduces the training overhead traditionally consumed by pilot symbols. In 2026, engineers and researchers increasingly rely on semiblind estimation techniques to balance the efficiency of blind m..."
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