Taylan Sahin

According to our database, Taylan Sahin authored at least 15 papers between 2017 and 2023.

Collaborative distances:

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

2023

ToA and TDoA Estimation Using Artificial Neural Networks for High-Accuracy Ranging.

Anil Kirmaz, Taylan Sahin, Diomidis S. Michalopoulos, Wolfgang H. Gerstacker

IEEE J. Sel. Areas Commun., December, 2023

Resource allocation for vehicle-to-vehicle communications under intermittent cellular coverage (Ressourcenallokation für Fahrzeug-zu-Fahrzeug-Kommunikation bei intermittierender Mobilfunkabdeckung)

Taylan Sahin

PhD thesis, 2023

Time of Arrival Error Estimation for Positioning Using Convolutional Neural Networks.

Anil Kirmaz, Taylan Sahin, Diomidis S. Michalopoulos, Muhammad Ikram Ashraf, Wolfgang H. Gerstacker

Proceedings of the IEEE Wireless Communications and Networking Conference, 2023

Time-based vs. Fingerprinting-based Positioning Using Artificial Neural Networks.

Anil Kirmaz, Taylan Sahin, Diomidis S. Michalopoulos, Wolfgang H. Gerstacker

Proceedings of the 13th International Conference on Indoor Positioning and Indoor Navigation, 2023

Performance Evaluation of 5G Sidelink Positioning.

Taylan Sahin, Leonardo Chiarello, Diomidis S. Michalopoulos, Berthold Panzner

Proceedings of the IEEE Conference on Standards for Communications and Networking, 2023

2022

Scheduling Out-of-Coverage Vehicular Communications Using Reinforcement Learning.

Taylan Sahin, Ramin Khalili, Mate Boban, Adam Wolisz

IEEE Trans. Veh. Technol., 2022

2021

A Tutorial on 5G NR V2X Communications.

Mario Hernán Castañeda García, Alejandro Molina-Galan, Mate Boban, Javier Gozálvez, Baldomero Coll-Perales, Taylan Sahin, Apostolos Kousaridas

IEEE Commun. Surv. Tutorials, 2021

iVRLS: In-coverage Vehicular Reinforcement Learning Scheduler.

Taylan Sahin, Mate Boban, Ramin Khalili, Adam Wolisz

Proceedings of the 93rd IEEE Vehicular Technology Conference, 2021

2019

VRLS: A Unified Reinforcement Learning Scheduler for Vehicle-to-Vehicle Communications.

Taylan Sahin, Ramin Khalili, Mate Boban, Adam Wolisz

Proceedings of the IEEE 2nd Connected and Automated Vehicles Symposium, 2019

A Hybrid Sensing and Reinforcement Learning Scheduler for Vehicle-to-Vehicle Communications.

Taylan Sahin, Mate Boban, Ramin Khalili, Adam Wolisz

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018

Virtual Cells for 5G V2X Communications.

Taylan Sahin, Markus Klugel, Chan Zhou, Wolfgang Kellerer

IEEE Commun. Stand. Mag., 2018

Radio Resource Allocation for Reliable Out-of-Coverage V2V Communications.

Taylan Sahin, Mate Boban

Proceedings of the 87th IEEE Vehicular Technology Conference, 2018

Reinforcement Learning Scheduler for Vehicle-to-Vehicle Communications Outside Coverage.

Taylan Sahin, Ramin Khalili, Mate Boban, Adam Wolisz

Proceedings of the 2018 IEEE Vehicular Networking Conference, 2018

2017

Flexible Network Deployment in 5G: Performance of Vehicular Nomadic Nodes.

Taylan Sahin, Ömer Bulakci, Panagiotis Spapis, Alexandros Kaloxylos

Proceedings of the 85th IEEE Vehicular Technology Conference, 2017

Multi-user-centric virtual cell operation for V2X communications in 5G networks.

Taylan Sahin, Markus Klugel, Chan Zhou, Wolfgang Kellerer

Proceedings of the IEEE Conference on Standards for Communications and Networking, 2017