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  1. 1. Sparse Approximation of Spatial Channel Model with Dictionary Learning

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Matilda Zhou; [2022]
    Keywords : Spatial channel model SCM ; dictionary learning; compressive sensing CS ; discrete Fourier transform DFT ; overcomplete discrete Fourier transform ODFT ; Rumslig kanalmodell; ordbokslärning; kompressionsavkänning; diskret Fourier-transform; överkomplett diskret Fourier-transform;

    Abstract : In large antenna systems, traditional channel estimation is costly and infeasible in some situations. Compressive sensing was proposed to estimate the channel with fewer measurements. Most of the previous work uses a predefined discrete Fourier transform matrix or overcomplete Fourier transform matrix to approximate the channel. READ MORE

  2. 2. Applying Machine Learning for Generating Radio Channel Coefficients : Practical insights into the process of selectingand implementing machine learning algorithms for spatial channel modelling

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Adrian Zander; [2021]
    Keywords : Spatial Channel Model; Deep Generative Networks; Variational Autoencoder; Simulation; Spatial Channel Model; Deep Generative Networks; Variational Autoencoder; Simulation;

    Abstract : One cornerstone in building future 5G and beyond wireless systems is to mimic the real-world environment using a simulator. The simulator needs to reflect the experienced propagation environment by the device in different scenarios. READ MORE