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2020 – today
- 2025
[j6]Nurettin Turan
, Michael Baur, Jianqing Li, Wolfgang Utschick:
Feedback Design With VQ-VAE for Robust Precoding in Multi-User FDD Systems. IEEE Wirel. Commun. Lett. 14(2): 390-394 (2025)- 2024
- [j5]Benedikt Fesl, Nurettin Turan, Benedikt Böck, Wolfgang Utschick:
Channel Estimation for Quantized Systems Based on Conditionally Gaussian Latent Models. IEEE Trans. Signal Process. 72: 1475-1490 (2024) - [j4]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): 6251-6265 (2024) - [j3]Benedikt Böck, Michael Baur, Nurettin Turan, Dominik Semmler, Wolfgang Utschick:
A Statistical Characterization of Wireless Channels Conditioned on Side Information. IEEE Wirel. Commun. Lett. 13(12): 3508-3512 (2024) - [c23]Franz Weißer, Nurettin Turan, Dominik Semmler, Wolfgang Utschick:
Data-Aided Channel Estimation Utilizing Gaussian Mixture Models. ICASSP 2024: 8886-8890 - [c22]Michael Baur, Nurettin Turan, Benedikt Fesl, Wolfgang Utschick:
Channel Estimation in Underdetermined Systems Utilizing Variational Autoencoders. ICASSP 2024: 9031-9035 - [c21]Franz Weißer, Dominik Semmler, Nurettin Turan, Wolfgang Utschick:
Data-Aided MU-MIMO Channel Estimation Utilizing Gaussian Mixture Models. ICC 2024: 6684-6689 - [c20]Nurettin Turan, Benedikt Fesl, Michael Joham, Zhengxiang Ma, Baoling Sheen, Weimin Xiao, Anthony C. K. Soong, Wolfgang Utschick:
Limited Feedback on Measurements: Sharing a Codebook or a Generative Model? VTC Spring 2024: 1-7 - [c19]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: 1-5 - [c18]Michael Baur, Benedikt Böck, Nurettin Turan, Wolfgang Utschick:
Variational Autoencoder for Channel Estimation: Real-World Measurement Insights. WSA 2024: 117-122 - [i20]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 abs/2401.01721 (2024) - [i19]Benedikt Böck, Michael Baur, Nurettin Turan, Dominik Semmler, Wolfgang Utschick:
A Statistical Characterization of Wireless Channels Conditioned on Side Information. CoRR abs/2406.04282 (2024) - [i18]Michael Baur, Nurettin Turan, Simon Wallner, Wolfgang Utschick:
Evaluation Metrics and Methods for Generative Models in the Wireless PHY Layer. CoRR abs/2408.00634 (2024) - [i17]Nurettin Turan, Benedikt Böck, Benedikt Fesl, Michael Joham, Deniz Gündüz, Wolfgang Utschick:
A Versatile Pilot Design Scheme for FDD Systems Utilizing Gaussian Mixture Models. CoRR abs/2408.03756 (2024) - [i16]Nurettin Turan, Michael Baur, Jianqing Li, Wolfgang Utschick:
Feedback Design with VQ-VAE for Robust Precoding in Multi-User FDD Systems. CoRR abs/2408.04505 (2024) - [i15]Nurettin Turan, Srikar Allaparapu, Donia Ben Amor, Benedikt Böck, Michael Joham, Wolfgang Utschick:
Statistical Precoder Design in Multi-User Systems via Graph Neural Networks and Generative Modeling. CoRR abs/2412.07519 (2024) - 2023
- [j2]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): 1066-1070 (2023) - [c17]Nurettin Turan, Benedikt Fesl, Wolfgang Utschick:
Enhanced Low-Complexity FDD System Feedback with Variable Bit Lengths via Generative Modeling. ACSSC 2023: 363-369 - [c16]Benedikt Fesl, Nurettin Turan, Wolfgang Utschick:
Low-Rank Structured MMSE Channel Estimation with Mixtures of Factor Analyzers. ACSSC 2023: 375-380 - [c15]Nurettin Turan, Benedikt Fesl, Benedikt Böck, Michael Joham, Wolfgang Utschick:
Channel-Adaptive Pilot Design for FDD-MIMO Systems Utilizing Gaussian Mixture Models. ISWCS 2023: 1-6 - [c14]Benedikt Fesl, Andreas Faika, Nurettin Turan, Michael Joham, Wolfgang Utschick:
Channel Estimation with Reduced Phase Allocations in RIS-Aided Systems. SPAWC 2023: 161-165 - [i14]Benedikt Fesl, Nurettin Turan, Michael Joham, Wolfgang Utschick:
Learning a Gaussian Mixture Model from Imperfect Training Data for Robust Channel Estimation. CoRR abs/2301.06488 (2023) - [i13]Nurettin Turan, Benedikt Fesl, Michael Koller, Michael Joham, Wolfgang Utschick:
A Versatile Low-Complexity Feedback Scheme for FDD Systems via Generative Modeling. CoRR abs/2304.14373 (2023) - [i12]Nurettin Turan, Benedikt Fesl, Wolfgang Utschick:
Enhanced Low-Complexity FDD System Feedback with Variable Bit Lengths via Generative Modeling. CoRR abs/2305.03427 (2023) - [i11]Michael Baur, Nurettin Turan, Benedikt Fesl, Wolfgang Utschick:
Channel Estimation in Underdetermined Systems Utilizing Variational Autoencoders. CoRR abs/2309.08411 (2023) - [i10]Michael Baur, Benedikt Böck, Nurettin Turan, Wolfgang Utschick:
Variational Autoencoder for Channel Estimation: Real-World Measurement Insights. CoRR abs/2312.03450 (2023) - 2022
- [j1]Michael Koller, Benedikt Fesl, Nurettin Turan, Wolfgang Utschick:
An Asymptotically MSE-Optimal Estimator Based on Gaussian Mixture Models. IEEE Trans. Signal Process. 70: 4109-4123 (2022) - [c13]Nurettin Turan, Michael Koller, Benedikt Fesl, Samer Bazzi, Wen Xu, Wolfgang Utschick:
GMM-based Codebook Construction and Feedback Encoding in FDD Systems. IEEECONF 2022: 37-42 - [c12]Benedikt Fesl, Michael Joham, Sha Hu, Michael Koller, Nurettin Turan, Wolfgang Utschick:
Channel Estimation based on Gaussian Mixture Models with Structured Covariances. IEEECONF 2022: 533-537 - [c11]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: 5268-5272 - [c10]Nurettin Turan, Benedikt Fesl, Moritz Grundei, Michael Koller, Wolfgang Utschick:
Evaluation of a Gaussian Mixture Model-based Channel Estimator using Measurement Data. ISWCS 2022: 1-6 - [i9]Benedikt Fesl, Michael Joham, Sha Hu, Michael Koller, Nurettin Turan, Wolfgang Utschick:
Channel Estimation based on Gaussian Mixture Models with Structured Covariances. CoRR abs/2205.03634 (2022) - [i8]Nurettin Turan, Michael Koller, Benedikt Fesl, Samer Bazzi, Wen Xu, Wolfgang Utschick:
GMM-based Codebook Construction and Feedback Encoding in FDD Systems. CoRR abs/2205.12002 (2022) - [i7]Nurettin Turan, Benedikt Fesl, Moritz Grundei, Michael Koller, Wolfgang Utschick:
Evaluation of a Gaussian Mixture Model-based Channel Estimator using Measurement Data. CoRR abs/2207.14150 (2022) - 2021
- [c9]Nurettin Turan, Michael Koller, Samer Bazzi, Wen Xu, Wolfgang Utschick:
Unsupervised Learning of Adaptive Codebooks for Deep Feedback Encoding in FDD Systems. ACSCC 2021: 1464-1469 - [c8]Valentina Rizzello, Nurettin Turan, Michael Joham, Wolfgang Utschick:
Two-Sample Tests for Validating the UL-DL Conjecture in FDD Systems. ISWCS 2021: 1-6 - [c7]Nurettin Turan, Michael Koller, Wolfgang Utschick:
One-Bit Quantized Channel Prediction with Neural Networks. PIMRC 2021: 604-609 - [c6]Benedikt Fesl, Nurettin Turan, Michael Koller, Wolfgang Utschick:
A Low-Complexity MIMO Channel Estimator with Implicit Structure of a Convolutional Neural Network. SPAWC 2021: 11-15 - [c5]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: 1-6 - [c4]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: 1-6 - [i6]Benedikt Fesl, Nurettin Turan, Michael Koller, Wolfgang Utschick:
A Low-Complexity MIMO Channel Estimator with Implicit Structure of a Convolutional Neural Network. CoRR abs/2104.12667 (2021) - [i5]Nurettin Turan, Michael Koller, Samer Bazzi, Wen Xu, Wolfgang Utschick:
Unsupervised Learning of Adaptive Codebooks for Deep Feedback Encoding in FDD Systems. CoRR abs/2105.09125 (2021) - [i4]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 abs/2105.10746 (2021) - [i3]Michael Koller, Benedikt Fesl, Nurettin Turan, Wolfgang Utschick:
An Asymptotically Optimal Approximation of the Conditional Mean Channel Estimator based on Gaussian Mixture Models. CoRR abs/2111.11064 (2021) - 2020
- [c3]Benedikt Fesl, Michael Koller, Nurettin Turan, Wolfgang Utschick:
Learning a Low-Complexity Channel Estimator for One-Bit Quantization. ACSSC 2020: 393-397 - [c2]Nurettin Turan, Wolfgang Utschick:
Learning the MMSE Channel Predictor. ICC Workshops 2020: 1-6 - [c1]Nurettin Turan, Wolfgang Utschick:
Reproducible Evaluation of Neural Network based Channel Estimators and Predictors Using a Generic Dataset. WSA 2020: 1-6
2010 – 2019
- 2019
- [i2]Nurettin Turan, Wolfgang Utschick:
Learning The MMSE Channel Predictor. CoRR abs/1911.07256 (2019) - [i1]Nurettin Turan, Wolfgang Utschick:
Reproducible Evaluation of Neural Network Based Channel Estimators And Predictors Using A Generic Dataset. CoRR abs/1912.00005 (2019)
Coauthor Index
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last updated on 2025-03-10 20:50 CET by the dblp team
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