Path Loss Modeling for NLoS Ultraviolet Channels Incorporating Scattering and Reflection Effects
Tianfeng Wu, Fang Yang, Fei Li, Renzhi Yuan, Tian Cao, Ling Cheng,, Jian Song, Julian Cheng, and Zhu Han

TL;DR
This paper introduces a novel path loss model for NLoS ultraviolet channels that accounts for scattering and reflection effects, improving accuracy over traditional obstacle-free models.
Contribution
It develops a computationally efficient obstacle-boundary approximation method that incorporates obstacle properties and employs Lambertian radiation patterns for UV channel modeling.
Findings
The model aligns well with Monte-Carlo photon-tracing results.
Obstacle boundary approximation has minimal impact when reflections dominate.
Validation shows improved accuracy over existing models.
Abstract
This paper tackles limitations in existing non-line-of-sight (NLoS) ultraviolet (UV) channel models, where conventional approaches assume obstacle-free propagation or uniform radiation intensity. In this paper, we develop a path loss model incorporating scattering and reflection, and then propose an obstacle-boundary approximation method to achieve computational tractability. Our framework systematically incorporates spatial obstacle properties, including dimensions, coordinates, contours, and orientation angles, while employing the Lambertian radiation pattern for source modeling. Additionally, the proposed path loss model is validated by comparing it with the Monte-Carlo photon-tracing model and analytical integral model via numerical results, which indicate that when obstacle reflection is prominent, an approximation treatment of obstacle boundaries has a negligible influence on the…
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
TopicsMolecular Communication and Nanonetworks · Optical Wireless Communication Technologies · Energy Harvesting in Wireless Networks
