Joint Vehicle Tracking and RSU Selection for V2I Communications With Extended Kalman Filter
@article{Song2022JointVT, title={Joint Vehicle Tracking and RSU Selection for V2I Communications With Extended Kalman Filter}, author={Jihoon Song and Seong-Hwan Hyun and Jong-Ho Lee and Jeongsik Choi and Seong-Cheol Kim}, journal={IEEE Transactions on Vehicular Technology}, year={2022}, volume={71}, pages={5609-5614} }
We develop joint vehicle tracking and road side unit (RSU) selection algorithms suitable for vehicle-to-infrastructure (V2I) communications. We first design an analytical framework for evaluating vehicle tracking systems based on the extended Kalman filter. A simple, yet effective, metric that quantifies the vehicle tracking performance is derived in terms of the angular derivative of a dominant spatial frequency. Second, an RSU selection algorithm is proposed to select a proper RSU that…
One Citation
Sensing-Communication Bandwidth Allocation in Vehicular Links Based on Reinforcement Learning
- Computer ScienceIEEE Wireless Communications Letters
- 2023
A reinforcement-learning-based algorithm of jointly optimizing the bandwidth allocation and BS selection is proposed, where a double deep Q-network agent is adopted and shows performing better than baselines.
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