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Books and Theses
- 2023
[b1]Taylan Sahin:
Resource allocation for vehicle-to-vehicle communications under intermittent cellular coverage (Ressourcenallokation für Fahrzeug-zu-Fahrzeug-Kommunikation bei intermittierender Mobilfunkabdeckung). TU Berlin, Germany, 2023
Journal Articles
- 2023
- [j4]Anil Kirmaz
, Taylan Sahin, Diomidis S. Michalopoulos, Wolfgang H. Gerstacker:
ToA and TDoA Estimation Using Artificial Neural Networks for High-Accuracy Ranging. IEEE J. Sel. Areas Commun. 41(12): 3816-3830 (2023) - 2022
- [j3]Taylan Sahin, Ramin Khalili, Mate Boban, Adam Wolisz:
Scheduling Out-of-Coverage Vehicular Communications Using Reinforcement Learning. IEEE Trans. Veh. Technol. 71(10): 11103-11119 (2022) - 2021
- [j2]Mario Hernán Castañeda García, Alejandro Molina-Galan, Mate Boban, Javier Gozálvez, Baldomero Coll-Perales, Taylan Sahin, Apostolos Kousaridas:
A Tutorial on 5G NR V2X Communications. IEEE Commun. Surv. Tutorials 23(3): 1972-2026 (2021) - 2018
- [j1]Taylan Sahin, Markus Klugel, Chan Zhou, Wolfgang Kellerer:
Virtual Cells for 5G V2X Communications. IEEE Commun. Stand. Mag. 2(1): 22-28 (2018)
Conference and Workshop Papers
- 2023
- [c10]Taylan Sahin, Leonardo Chiarello, Diomidis S. Michalopoulos, Berthold Panzner:
Performance Evaluation of 5G Sidelink Positioning. CSCN 2023: 177-182 - [c9]Anil Kirmaz, Taylan Sahin, Diomidis S. Michalopoulos, Wolfgang H. Gerstacker:
Time-based vs. Fingerprinting-based Positioning Using Artificial Neural Networks. IPIN 2023: 1-6 - [c8]Anil Kirmaz, Taylan Sahin, Diomidis S. Michalopoulos, Muhammad Ikram Ashraf, Wolfgang H. Gerstacker:
Time of Arrival Error Estimation for Positioning Using Convolutional Neural Networks. WCNC 2023: 1-6 - 2021
- [c7]Taylan Sahin, Mate Boban, Ramin Khalili, Adam Wolisz:
iVRLS: In-coverage Vehicular Reinforcement Learning Scheduler. VTC Spring 2021: 1-7 - 2019
- [c6]Taylan Sahin, Mate Boban, Ramin Khalili, Adam Wolisz:
A Hybrid Sensing and Reinforcement Learning Scheduler for Vehicle-to-Vehicle Communications. ACSSC 2019: 1136-1143 - [c5]Taylan Sahin, Ramin Khalili, Mate Boban, Adam Wolisz:
VRLS: A Unified Reinforcement Learning Scheduler for Vehicle-to-Vehicle Communications. CAVS 2019: 1-7 - 2018
- [c4]Taylan Sahin, Ramin Khalili, Mate Boban, Adam Wolisz:
Reinforcement Learning Scheduler for Vehicle-to-Vehicle Communications Outside Coverage. VNC 2018: 1-8 - [c3]Taylan Sahin, Mate Boban:
Radio Resource Allocation for Reliable Out-of-Coverage V2V Communications. VTC Spring 2018: 1-5 - 2017
- [c2]Taylan Sahin, Markus Klugel, Chan Zhou, Wolfgang Kellerer:
Multi-user-centric virtual cell operation for V2X communications in 5G networks. CSCN 2017: 84-90 - [c1]Taylan Sahin, Ömer Bulakci, Panagiotis Spapis, Alexandros Kaloxylos:
Flexible Network Deployment in 5G: Performance of Vehicular Nomadic Nodes. VTC Spring 2017: 1-6
Informal and Other Publications
- 2022
- [i5]Taylan Sahin, Ramin Khalili, Mate Boban, Adam Wolisz:
Scheduling Out-of-Coverage Vehicular Communications Using Reinforcement Learning. CoRR abs/2207.06537 (2022) - 2021
- [i4]Mario Hernán Castañeda García, Alejandro Molina-Galan, Mate Boban, Javier Gozálvez, Baldomero Coll-Perales, Taylan Sahin, Apostolos Kousaridas:
A Tutorial on 5G NR V2X Communications. CoRR abs/2102.04538 (2021) - 2019
- [i3]Taylan Sahin, Ramin Khalili, Mate Boban, Adam Wolisz:
Reinforcement Learning Scheduler for Vehicle-to-Vehicle Communications Outside Coverage. CoRR abs/1904.12653 (2019) - [i2]Taylan Sahin, Mate Boban:
Radio Resource Allocation for Reliable Out-of-coverage V2V Communications. CoRR abs/1904.12710 (2019) - [i1]Taylan Sahin, Ramin Khalili, Mate Boban, Adam Wolisz:
VRLS: A Unified Reinforcement Learning Scheduler for Vehicle-to-Vehicle Communications. CoRR abs/1907.09319 (2019)
Coauthor Index
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