Çagkan Yapar

According to our database, Çagkan Yapar authored at least 20 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

The First Indoor Pathloss Radio Map Prediction Challenge.

Stefanos Bakirtzis, Çagkan Yapar, Kehai Qiu, Ian J. Wassell, Jie Zhang

CoRR, January, 2025

2024

Empowering Wireless Network Applications with Deep Learning-based Radio Propagation Models.

Stefanos Bakirtzis, Çagkan Yapar, Marco Fiore, Jie Zhang, Ian J. Wassell

CoRR, 2024

Demucs for Data-Driven RF Signal Denoising.

Çagkan Yapar, Fabian Jaensch, Jan Christian Hauffen, Francesco Pezone, Peter Jung, Saeid K. Dehkordi, Giuseppe Caire

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Real-Time Outdoor Localization Using Radio Maps: A Deep Learning Approach.

Çagkan Yapar, Ron Levie, Gitta Kutyniok, Giuseppe Caire

IEEE Trans. Wirel. Commun., December, 2023

Deep learning-based pathloss radio map estimation and its application to RSS fingerprint-based localization (Tiefes-Lernen-basierte Pfadverlust-Radio-Map-Schätzung und ihre Anwendung auf die RSS-Fingerabdruck-basierte Lokalisierung)

Çagkan Yapar

PhD thesis, 2023

Overview of the Urban Wireless Localization Competition.

Çagkan Yapar, Fabian Jaensch, Ron Levie, Gitta Kutyniok, Giuseppe Caire

Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

The First Pathloss Radio Map Prediction Challenge.

Çagkan Yapar, Fabian Jaensch, Ron Levie, Gitta Kutyniok, Giuseppe Caire

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Dataset of Pathloss and ToA Radio Maps with Localization Application.

Çagkan Yapar, Ron Levie, Gitta Kutyniok, Giuseppe Caire

Dataset, December, 2022

Dataset of Pathloss and ToA Radio Maps With Localization Application.

Çagkan Yapar, Ron Levie, Gitta Kutyniok, Giuseppe Caire

CoRR, 2022

On the Effective Usage of Priors in RSS-based Localization.

Çagkan Yapar, Fabian Jaensch, Ron Levie, Giuseppe Caire

CoRR, 2022

LocUNet: Fast Urban Positioning Using Radio Maps and Deep Learning.

Çagkan Yapar, Ron Levie, Gitta Kutyniok, Giuseppe Caire

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

RadioUNet: Fast Radio Map Estimation With Convolutional Neural Networks.

Ron Levie, Çagkan Yapar, Gitta Kutyniok, Giuseppe Caire

IEEE Trans. Wirel. Commun., 2021

2020

Real-time Localization Using Radio Maps.

Çagkan Yapar, Ron Levie, Gitta Kutyniok, Giuseppe Caire

CoRR, 2020

Pathloss Prediction using Deep Learning with Applications to Cellular Optimization and Efficient D2D Link Scheduling.

Ron Levie, Çagkan Yapar, Gitta Kutyniok, Giuseppe Caire

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

On the Optimality of D2D Coded Caching With Uncoded Cache Placement and One-Shot Delivery.

Çagkan Yapar, Kai Wan, Rafael F. Schaefer, Giuseppe Caire

IEEE Trans. Commun., 2019

On D2D Caching with Uncoded Cache Placement.

Çagkan Yapar, Kai Wan, Rafael F. Schaefer, Giuseppe Caire

Proceedings of the IEEE International Symposium on Information Theory, 2019

2018

Spatially Scalable Lossy Coded Caching.

Mozhgan Bayat, Çagkan Yapar, Giuseppe Caire

Proceedings of the 15th International Symposium on Wireless Communication Systems, 2018

2015

Compressive phase retrieval of sparse bandlimited signals.

Çagkan Yapar, Volker Pohl, Holger Boche

CoRR, 2015

Fast compressive phase retrieval from Fourier measurements.

Çagkan Yapar, Volker Pohl, Holger Boche

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014

A phase retrieval method for signals in modulation-invariant spaces.

Volker Pohl, Çagkan Yapar, Holger Boche, Fanny Yang

Proceedings of the IEEE International Conference on Acoustics, 2014