Nurettin Turan

Orcid: 0000-0003-1428-6399

According to our database1, Nurettin Turan authored at least 21 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Limited Feedback on Measurements: Sharing a Codebook or a Generative Model?
CoRR, 2024

2023
Learning a Gaussian Mixture Model From Imperfect Training Data for Robust Channel Estimation.
IEEE Wirel. Commun. Lett., 2023

Variational Autoencoder for Channel Estimation: Real-World Measurement Insights.
CoRR, 2023

Channel Estimation in Underdetermined Systems Utilizing Variational Autoencoders.
CoRR, 2023

Enhanced Low-Complexity FDD System Feedback with Variable Bit Lengths via Generative Modeling.
CoRR, 2023

A Versatile Low-Complexity Feedback Scheme for FDD Systems via Generative Modeling.
CoRR, 2023

Channel Estimation with Reduced Phase Allocations in RIS-Aided Systems.
Proceedings of the 24th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2023

2022
An Asymptotically MSE-Optimal Estimator Based on Gaussian Mixture Models.
IEEE Trans. Signal Process., 2022

Evaluation of a Gaussian Mixture Model-based Channel Estimator using Measurement Data.
Proceedings of the 18th International Symposium on Wireless Communication Systems, 2022

An Asymptotically Optimal Approximation of the Conditional Mean Channel Estimator Based on Gaussian Mixture Models.
Proceedings of the IEEE International Conference on Acoustics, 2022

GMM-based Codebook Construction and Feedback Encoding in FDD Systems.
Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

Channel Estimation based on Gaussian Mixture Models with Structured Covariances.
Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2021
On Distributional Invariances between Downlink and Uplink MIMO Channels.
Proceedings of the 25th International ITG Workshop on Smart Antennas, 2021

Centralized Learning of the Distributed Downlink Channel Estimators in FDD Systems using Uplink Data.
Proceedings of the 25th International ITG Workshop on Smart Antennas, 2021

A Low-Complexity MIMO Channel Estimator with Implicit Structure of a Convolutional Neural Network.
Proceedings of the 22nd IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2021

One-Bit Quantized Channel Prediction with Neural Networks.
Proceedings of the 32nd IEEE Annual International Symposium on Personal, 2021

Two-Sample Tests for Validating the UL-DL Conjecture in FDD Systems.
Proceedings of the 17th International Symposium on Wireless Communication Systems, 2021

Unsupervised Learning of Adaptive Codebooks for Deep Feedback Encoding in FDD Systems.
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020
Reproducible Evaluation of Neural Network based Channel Estimators and Predictors Using a Generic Dataset.
Proceedings of the 24th International ITG Workshop on Smart Antennas, 2020

Learning the MMSE Channel Predictor.
Proceedings of the 2020 IEEE International Conference on Communications Workshops, 2020

Learning a Low-Complexity Channel Estimator for One-Bit Quantization.
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020


  Loading...