Passive Radar at the Roadside Unit to Configure Millimeter Wave Vehicle-to-Infrastructure Links
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Abstract (arXiv)
Millimeter wave (mmWave) vehicular channels are highly dynamic, and the communication link needs to be reconfigured frequently. In this work, we propose to use a passive radar receiver at the roadside unit to reduce the training overhead of establishing an mmWave communication link. Specifically, the passive radar will tap the transmissions from the automotive radars of the vehicles on the road. The spatial covariance of the received radar signals will be estimated and used to establish the communication link. We propose a simplified radar receiver that does not require the transmitted waveform as a reference. To leverage the radar information for beamforming, the radar azimuth power spectrum (APS) and the communication APS should be similar. We outline a radar covariance correction strategy to increase the similarity between the radar and communication APS. We also propose a metric to compare the similarity of the radar and communication APS that has a connection with the achievable rate. We present simulation results based on ray-tracing data. The results show that: (i) covariance correction improves the similarity of radar and communication APS, and (ii) the radar-assisted strategy significantly reduces the training overhead, being particularly useful in non-line-of-sight scenarios.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). First posted on arXiv 23 Oct 2019.
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Citing papers per year: 2022: 1; 2023: 0; 2024: 0; 2025: 1; 2026: 1.
3 papers.
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- 2025Vehicle-to-Infrastructure Collaborative Spatial Perception via Multimodal Large Language Modelscited by 0
- 2026Multi-Modal Data-Enhanced Foundation Models for Prediction and Control in Wireless Networks: A Survey6 Jan 2026
- 2025Vehicle-to-Infrastructure Collaborative Spatial Perception via Multimodal Large Language Models4 Sep 2025
- 2022DeepSense 6G: A Large-Scale Real-World Multi-Modal Sensing and Communication Dataset17 Nov 2022