Path Loss of Virtual V2V Link via Flying Reconfigurable Intelligent Surface: With and Without Orientation Control Using Q-Learning

This dataset contains path loss values for a virtual Vehicle-to-Vehicle (V2V) communication link established through a Reconfigurable Intelligent Surface (RIS) mounted on a drone. The drone’s position and height are optimized at each time step to improve signal strength (reduce path loss), by moving toward the best point as described in the referenced publication. Two versions of the results are included: (1) without orientation control (no adjustment of yaw), and (2) with orientation control using a Q-Learning approach also explained in the paper. The optimized.npy file show lower path loss values, highlighting the benefit of the proposed method and the impact of orientation control.