Nurettin Turan

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 40

Top Topics

Unsupervised Learning

Channel Estimation

Top Venues

Publications

Benedikt Böck, Michael Baur, Nurettin Turan, Dominik Semmler, Wolfgang Utschick
A Statistical Characterization of Wireless Channels Conditioned on Side Information. CoRR (2024)
Michael Baur, Benedikt Böck, Nurettin Turan, Wolfgang Utschick
Variational Autoencoder for Channel Estimation: Real-World Measurement Insights. WSA (2024)
Franz Weißer, Nurettin Turan, Dominik Semmler, Wolfgang Utschick
Data-Aided Channel Estimation Utilizing Gaussian Mixture Models. ICASSP (2024)
Nurettin Turan, Benedikt Fesl, Michael Joham, Zhengxiang Ma, Anthony C. K. Soong, Baoling Sheen, Weimin Xiao, Wolfgang Utschick
Limited Feedback on Measurements: Sharing a Codebook or a Generative Model? CoRR (2024)
Benedikt Fesl, Nurettin Turan, Benedikt Böck, Wolfgang Utschick
Channel Estimation for Quantized Systems Based on Conditionally Gaussian Latent Models. IEEE Trans. Signal Process. 72 (2024)
Nurettin Turan, Benedikt Böck, Kai-Jie Chan, Benedikt Fesl, Friedrich Burmeister, Michael Joham, Gerhard P. Fettweis, Wolfgang Utschick
Wireless Channel Prediction via Gaussian Mixture Models. WSA (2024)
Michael Baur, Nurettin Turan, Benedikt Fesl, Wolfgang Utschick
Channel Estimation in Underdetermined Systems Utilizing Variational Autoencoders. ICASSP (2024)
Nurettin Turan, Benedikt Fesl, Michael Koller, Michael Joham, Wolfgang Utschick
A Versatile Low-Complexity Feedback Scheme for FDD Systems via Generative Modeling. IEEE Trans. Wirel. Commun. 23 (6) (2024)
Benedikt Fesl, Nurettin Turan, Michael Joham, Wolfgang Utschick
Learning a Gaussian Mixture Model from Imperfect Training Data for Robust Channel Estimation. CoRR (2023)
Nurettin Turan, Benedikt Fesl, Wolfgang Utschick
Enhanced Low-Complexity FDD System Feedback with Variable Bit Lengths via Generative Modeling. CoRR (2023)
Benedikt Fesl, Nurettin Turan, Michael Joham, Wolfgang Utschick
Learning a Gaussian Mixture Model From Imperfect Training Data for Robust Channel Estimation. IEEE Wirel. Commun. Lett. 12 (6) (2023)
Benedikt Fesl, Nurettin Turan, Wolfgang Utschick
Low-Rank Structured MMSE Channel Estimation with Mixtures of Factor Analyzers. ACSSC (2023)
Benedikt Fesl, Andreas Faika, Nurettin Turan, Michael Joham, Wolfgang Utschick
Channel Estimation with Reduced Phase Allocations in RIS-Aided Systems. SPAWC (2023)
Nurettin Turan, Benedikt Fesl, Michael Koller, Michael Joham, Wolfgang Utschick
A Versatile Low-Complexity Feedback Scheme for FDD Systems via Generative Modeling. CoRR (2023)
Michael Baur, Benedikt Böck, Nurettin Turan, Wolfgang Utschick
Variational Autoencoder for Channel Estimation: Real-World Measurement Insights. CoRR (2023)
Nurettin Turan, Benedikt Fesl, Wolfgang Utschick
Enhanced Low-Complexity FDD System Feedback with Variable Bit Lengths via Generative Modeling. ACSSC (2023)
Michael Baur, Nurettin Turan, Benedikt Fesl, Wolfgang Utschick
Channel Estimation in Underdetermined Systems Utilizing Variational Autoencoders. CoRR (2023)
Michael Koller, Benedikt Fesl, Nurettin Turan, Wolfgang Utschick
An Asymptotically Optimal Approximation of the Conditional Mean Channel Estimator Based on Gaussian Mixture Models. ICASSP (2022)
Nurettin Turan, Benedikt Fesl, Moritz Grundei, Michael Koller, Wolfgang Utschick
Evaluation of a Gaussian Mixture Model-based Channel Estimator using Measurement Data. ISWCS (2022)
Nurettin Turan, Michael Koller, Benedikt Fesl, Samer Bazzi, Wen Xu, Wolfgang Utschick
GMM-based Codebook Construction and Feedback Encoding in FDD Systems. IEEECONF (2022)
Benedikt Fesl, Michael Joham, Sha Hu, Michael Koller, Nurettin Turan, Wolfgang Utschick
Channel Estimation based on Gaussian Mixture Models with Structured Covariances. CoRR (2022)
Benedikt Fesl, Michael Joham, Sha Hu, Michael Koller, Nurettin Turan, Wolfgang Utschick
Channel Estimation based on Gaussian Mixture Models with Structured Covariances. IEEECONF (2022)
Michael Koller, Benedikt Fesl, Nurettin Turan, Wolfgang Utschick
An Asymptotically MSE-Optimal Estimator Based on Gaussian Mixture Models. IEEE Trans. Signal Process. 70 (2022)
Nurettin Turan, Benedikt Fesl, Moritz Grundei, Michael Koller, Wolfgang Utschick
Evaluation of a Gaussian Mixture Model-based Channel Estimator using Measurement Data. CoRR (2022)
Nurettin Turan, Michael Koller, Benedikt Fesl, Samer Bazzi, Wen Xu, Wolfgang Utschick
GMM-based Codebook Construction and Feedback Encoding in FDD Systems. CoRR (2022)
Michael Koller, Benedikt Fesl, Nurettin Turan, Wolfgang Utschick
An Asymptotically Optimal Approximation of the Conditional Mean Channel Estimator based on Gaussian Mixture Models. CoRR (2021)
Nurettin Turan, Michael Koller, Valentina Rizzello, Benedikt Fesl, Samer Bazzi, Wen Xu, Wolfgang Utschick
On Distributional Invariances between Downlink and Uplink MIMO Channels. WSA (2021)
Benedikt Fesl, Nurettin Turan, Michael Koller, Michael Joham, Wolfgang Utschick
Centralized Learning of the Distributed Downlink Channel Estimators in FDD Systems using Uplink Data. WSA (2021)
Benedikt Fesl, Nurettin Turan, Michael Koller, Michael Joham, Wolfgang Utschick
Centralized Learning of the Distributed Downlink Channel Estimators in FDD Systems using Uplink Data. CoRR (2021)
Benedikt Fesl, Nurettin Turan, Michael Koller, Wolfgang Utschick
A Low-Complexity MIMO Channel Estimator with Implicit Structure of a Convolutional Neural Network. CoRR (2021)
Valentina Rizzello, Nurettin Turan, Michael Joham, Wolfgang Utschick
Two-Sample Tests for Validating the UL-DL Conjecture in FDD Systems. ISWCS (2021)
Nurettin Turan, Michael Koller, Samer Bazzi, Wen Xu, Wolfgang Utschick
Unsupervised Learning of Adaptive Codebooks for Deep Feedback Encoding in FDD Systems. CoRR (2021)
Nurettin Turan, Michael Koller, Wolfgang Utschick
One-Bit Quantized Channel Prediction with Neural Networks. PIMRC (2021)
Nurettin Turan, Michael Koller, Samer Bazzi, Wen Xu, Wolfgang Utschick
Unsupervised Learning of Adaptive Codebooks for Deep Feedback Encoding in FDD Systems. ACSCC (2021)
Benedikt Fesl, Nurettin Turan, Michael Koller, Wolfgang Utschick
A Low-Complexity MIMO Channel Estimator with Implicit Structure of a Convolutional Neural Network. SPAWC (2021)
Nurettin Turan, Wolfgang Utschick
Learning the MMSE Channel Predictor. ICC Workshops (2020)
Nurettin Turan, Wolfgang Utschick
Reproducible Evaluation of Neural Network based Channel Estimators and Predictors Using a Generic Dataset. WSA (2020)
Benedikt Fesl, Michael Koller, Nurettin Turan, Wolfgang Utschick
Learning a Low-Complexity Channel Estimator for One-Bit Quantization. ACSSC (2020)
Nurettin Turan, Wolfgang Utschick
Reproducible Evaluation of Neural Network Based Channel Estimators And Predictors Using A Generic Dataset. CoRR (2019)
Nurettin Turan, Wolfgang Utschick
Learning The MMSE Channel Predictor. CoRR (2019)