An Improved Equiangular Division Algorithm for SBR based Ray Tracing Channel Modeling
Yuyang Zhou, Yinghua Wang, Yuxiao Li, Jialing Huang, Jie Huang,, Cheng-Xiang Wang

TL;DR
This paper introduces an iterative equiangular division algorithm that enhances the accuracy of SBR-based ray tracing for channel modeling, achieving precision comparable to image method while maintaining speed.
Contribution
The paper proposes a novel iterative equiangular division algorithm that improves the accuracy of SBR ray tracing for channel modeling, addressing its low-accuracy limitation.
Findings
Error of AOD and AOA below 0.01 degrees
Power delay profile matches image method results
Uniform ray launching improves accuracy
Abstract
Compared with image method (IM) based ray tracing (RT), shooting and bouncing ray (SBR) method is characterized by fast speed but low accuracy. In this paper, an iterative precise algorithm based on equiangular division is proposed to make rough paths accurate, allowing SBR to calculate exact channel information. Different ray launching methods are compared to obtain a better launching method. By using equiangular division, rays are launched more uniformly from transmitter (Tx) compared with the current equidistant division method. With the proposed iterative precise algorithm, error of angle of departure (AOD) and angle of arrival (AOA) is below 0.01 degree. The relationship between the number of iterations and error reduction is also given. It is illustrated that the proposed method has the same accuracy as IM by comparing the power delay profile (PDP) and angle distribution of paths.…
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
TopicsMillimeter-Wave Propagation and Modeling · Telecommunications and Broadcasting Technologies · Video Coding and Compression Technologies
MethodsSPEED: Separable Pyramidal Pooling EncodEr-Decoder for Real-Time Monocular Depth Estimation on Low-Resource Settings
