An Asymptotically Optimal Approximation of the Conditional Mean Channel Estimator Based on Gaussian Mixture Models
Author:
Affiliation:
1. Technische Universität München
Funder
Deutsche Forschungsgemeinschaft
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9745891/9746004/09747226.pdf?arnumber=9747226
Reference21 articles.
1. Clustering in the wireless channel with a power weighted statistical mixture model in indoor scenario
2. Information-Theoretic Pilot Design for Downlink Channel Estimation in FDD Massive MIMO Systems
3. On MMSE Estimation: A Linear Model Under Gaussian Mixture Statistics
4. Evaluation of the Spatial Consistency Feature in the 3GPP Geometry-Based Stochastic Channel Model
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2. Channel Estimation based on Gaussian Mixture Models with Structured Covariances;2022 56th Asilomar Conference on Signals, Systems, and Computers;2022-10-31
3. Variational Autoencoder Leveraged MMSE Channel Estimation;2022 56th Asilomar Conference on Signals, Systems, and Computers;2022-10-31
4. GMM-based Codebook Construction and Feedback Encoding in FDD Systems;2022 56th Asilomar Conference on Signals, Systems, and Computers;2022-10-31
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