Stefanos Bakirtzis

According to our database, Stefanos Bakirtzis authored at least 15 papers between 2022 and 2025.

Collaborative distances:

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

2025

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

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

IEEE Wirel. Commun., August, 2025

iPLAN: Redefining Indoor Wireless Network Planning Through Large Language Models.

Jinbo Hou, Stefanos Bakirtzis, Kehai Qiu, Sichong Liao, Hui Song, Haonan Hu, Kezhi Wang, Jie Zhang

CoRR, July, 2025

The First Indoor Pathloss Radio Map Prediction Challenge.

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

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

Large Language Model-Based Wireless Network Design.

Kehai Qiu, Stefanos Bakirtzis, Ian J. Wassell, Hui Song, Jie Zhang, Kezhi Wang

IEEE Wirel. Commun. Lett., December, 2024

AI-Assisted Indoor Wireless Network Planning With Data-Driven Propagation Models.

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

IEEE Netw., November, 2024

A Joint Optimization Approach for Power-Efficient Heterogeneous OFDMA Radio Access Networks.

Gabriel O. Ferreira, André Felipe Zanella, Stefanos Bakirtzis, Chiara Ravazzi, Fabrizio Dabbene, Giuseppe Carlo Calafiore, Ian James Wassell, Jie Zhang, Marco Fiore

IEEE J. Sel. Areas Commun., November, 2024

Indoor Radio Map Dataset.

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

Dataset, November, 2024

Solving Maxwell's equations with Non-Trainable Graph Neural Network Message Passing.

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

CoRR, 2024

DeepMEND: Reliable and Scalable Network Metadata Geolocation from Base Station Positions.

Orlando E. Martínez-Durive, Stefanos Bakirtzis, Cezary Ziemlicki, Jie Zhang, Ian James Wassell, Marco Fiore

Proceedings of the 21st Annual IEEE International Conference on Sensing, 2024

2023

Characterizing Mobile Service Demands at Indoor Cellular Networks.

Stefanos Bakirtzis, André Felipe Zanella, Stefania Rubrichi, Cezary Ziemlicki, Zbigniew Smoreda, Ian J. Wassell, Jie Zhang, Marco Fiore

Proceedings of the 2023 ACM on Internet Measurement Conference, 2023

Deep Learning-Based Path Loss Prediction for Outdoor Wireless Communication Systems.

Kehai Qiu, Stefanos Bakirtzis, Hui Song, Ian J. Wassell, Jie Zhang

Proceedings of the IEEE International Conference on Acoustics, 2023

IRDM: A Generative Diffusion Model for Indoor Radio Map Interpolation.

Kehai Qiu, Stefanos Bakirtzis, Ian J. Wassell, Hui Song, Kan Lin, Jie Zhang

Proceedings of the IEEE Global Communications Conference, 2023

2022

Pseudo Ray-Tracing: Deep Leaning Assisted Outdoor mm-Wave Path Loss Prediction.

Kehai Qiu, Stefanos Bakirtzis, Hui Song, Jie Zhang, Ian J. Wassell

IEEE Wirel. Commun. Lett., 2022

Deep-Learning-Based Multivariate Time-Series Classification for Indoor/Outdoor Detection.

Stefanos Bakirtzis, Kehai Qiu, Ian J. Wassell, Marco Fiore, Jie Zhang

IEEE Internet Things J., 2022

Stochastic Evaluation of Indoor Wireless Network Performance with Data-Driven Propagation Models.

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

Proceedings of the IEEE Global Communications Conference, 2022