953 citations · 1k across the 5 of their papers we have counts for
6 papers
Time of Arrival Error Estimation for Positioning Using Convolutional Neural Networks
Anil Kirmaz, Taylan Şahin, Diomidis S. Michalopoulos +2
Wireless high-accuracy positioning has recently attracted growing research interest due to diversified nature of applications such as industrial asset tracking, autonomous driving,…
Scheduling Out-of-Coverage Vehicular Communications Using Reinforcement Learning
Taylan Şahin, Ramin Khalili, Mate Boban +1
Performance of vehicle-to-vehicle (V2V) communications depends highly on the employed scheduling approach. While centralized network schedulers offer high V2V communication reliabi…
A Tutorial on 5G NR V2X Communications
Mario H. Castañeda Garcia, Alejandro Molina-Galan, Mate Boban +4
The Third Generation Partnership Project (3GPP) has recently published its Release 16 that includes the first Vehicle to-Everything (V2X) standard based on the 5G New Radio (NR) ai…
VRLS: A Unified Reinforcement Learning Scheduler for Vehicle-to-Vehicle Communications
Taylan Şahin, Ramin Khalili, Mate Boban +1
Vehicle-to-vehicle (V2V) communications have distinct challenges that need to be taken into account when scheduling the radio resources. Although centralized schedulers (e.g., loca…
Radio Resource Allocation for Reliable Out-of-coverage V2V Communications
Taylan Şahin, Mate Boban
We explore a new approach to radio resource allocation for vehicle-to-vehicle (V2V) communications in case of out-of-coverage areas that are delimited by network infrastructure. By…
Reinforcement Learning Scheduler for Vehicle-to-Vehicle Communications Outside Coverage
Taylan Şahin, Ramin Khalili, Mate Boban +1
Radio resources in vehicle-to-vehicle (V2V) communication can be scheduled either by a centralized scheduler residing in the network (e.g., a base station in case of cellular syste…