default search action
Nurettin Turan
Person information
SPARQL queries
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j4]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) - [j3]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) - [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 - [i19]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) - [i18]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) - [i17]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) - [i16]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) - [i15]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) - 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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from , , and to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-08 21:30 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint