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Enhancing millimeter wave NLOS coverage with adaptive beamforming and passive reflectors
Thesis   Open access

Enhancing millimeter wave NLOS coverage with adaptive beamforming and passive reflectors

Raj Sai Sohel Bandari
California State University, Sacramento
Master of Science (MS), California State University, Sacramento
09/18/2025
Handle:
https://hdl.handle.net/20.500.12741/rep:13472

Abstract

Non-line-of-sight Adaptive beamforming Complementary cumulative distribution function Millimeter wave communication Passive reflectors
Indoor millimeter-wave (mmWave) communication faces significant challenges due to environmental clutter that obstructs non-line-of-sight (NLOS) beam paths. This leads to rapid signal fluctuations and potential outages. To address these challenges, this project aims to enhance mmWave signal coverage in NLOS environments through the use passive reflectors (copper, mirror, and silver foil) combined with a LiDAR-aided, adaptive beamforming approach. The proposed solution aims to mitigate mmWave link blockages and extend coverage to NLOS regions, ensuring stable communication channels. The experimental setup includes a fixed transmitter (TX) and a fixed passive reflector positioned at a corridor corner, replicating a controlled indoor environment. LiDAR sensing enables adaptive beam alignment towards the receiver location. RSS measurements are plotted on a grid-based method and a complementary cumulative distribution function (CCDF) graph is employed to evaluate the efficacy of the proposed adaptive TX beam in comparison to a fixed TX beam. The results demonstrate that adaptive beamforming combined with passive reflectors significantly enhances NLOS signal coverage. Experimental results demonstrate the effectiveness of the proposed method in extending coverage, minimize signal loss, and optimize indoor mmWave communication. This enhancement is vital for mmWave communications in indoor environments, contributing to the reliability and feasibility of 6G networks.
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