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This content will become publicly available on January 10, 2026

Title: LiDAR-Aided NLoS Path Identification for Enhanced Indoor mmWave Communication
Not AvailableThis paper presents a Light Detection and Ranging (LiDAR) based technique for identifying non-line-of-sight (NLoS) communication paths in indoor millimeter-wave (mmWave) environments. This is achieved by using LiDAR distance and backscattered intensity measurements to i) create a map of the communication environment, and ii) identify a set of potential reflective surfaces for NLoS communication. Experimental results demonstrate that the proposed technique, which combines environmental geometry and LiDAR scatter data for ray-tracing, achieves performance comparable to traditional exhaustive search beam training methods, particularly for first-ranked (top- 1) alternative NLoS paths. This offers a promising solution for enhancing indoor mmWave communications in dynamic environments prone to line-of-sight link blockages without the need for a fully dedicated beam training stage.  more » « less
Award ID(s):
2243089
PAR ID:
10640655
Author(s) / Creator(s):
 ;  ;  ;  
Corporate Creator(s):
Editor(s):
IEEE
Publisher / Repository:
IEEE
Date Published:
Edition / Version:
1
Volume:
1
Issue:
1
ISSN:
979-8-3315-0805-0
ISBN:
979-8-3315-0805-0
Page Range / eLocation ID:
1 to 4
Subject(s) / Keyword(s):
mmWave, indoor, LiDAR, LiDAR point cloud, ray-tracing, non-line-of-sight (NLoS), beam alignment, beam prediction
Format(s):
Medium: X Size: 1 Other: 1
Size(s):
1
Location:
979-8-3315-0805-0
Sponsoring Org:
National Science Foundation
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