A Non-Stationary VVLC MIMO Channel Model for Street Corner Scenarios
Qingshan Chen, Cheng-Xiang Wang, Jian Sun, Wensheng Zhang, Qiuming Zhu

TL;DR
This paper introduces a non-stationary VVLC MIMO channel model for street corner scenarios, accounting for vehicle dynamics and scatterers, to aid the design of vehicular optical communication systems.
Contribution
It proposes a novel geometric non-stationary model for vehicular VLC channels that considers vehicle movement and scatterer types, deriving key statistical characteristics.
Findings
Channel gain and RMS delay spread are characterized.
Velocity changes significantly affect channel statistics.
Model supports future V2I and V2V VLC system design.
Abstract
In recent years, the application potential of visible light communication (VLC) technology as an alternative and supplement to radio frequency (RF) technology has attracted people's attention. The study of the underlying VLC channel is the basis for designing the VLC communication system. In this paper, a new non-stationary geometric street corner model is proposed for vehicular VLC (VVLC) multiple-input multiple-output (MIMO) channel. The proposed model takes into account changes in vehicle speed and direction. The category of scatterers includes fixed scatterers and mobile scatterers (MS). Based on the proposed model, we derive the channel impulse response (CIR) and explore the statistical characteristics of the VVLC channel. The channel gain and root mean square (RMS) delay spread of the VVLC channel are studied. In addition, the influence of velocity change on the statistical…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsOptical Wireless Communication Technologies · Power Line Communications and Noise · Advanced Photonic Communication Systems
