Abstract

Next-generation wireless networks are beset with challenges such as line-of-sight (LoS) shadowing and multipath scattering, significantly impacting service quality and reliability. Despite technological advances aimed at mitigating these issues, achieving consistent quality of service (QoS) standards continues to be an uphill task, particularly within the ever-changing urban landscapes and the intricate process of melding new technologies with pre-existing infrastructures. This paper delves into the integration of light detection and ranging (LiDAR) sensors as a novel solution to these persistent problems. We explore two potential use cases of LiDAR integration in wireless networks, offering detailed insights into the underlying motivation, technical nuances, and performance evaluation. Furthermore, we articulate the prevailing challenges associated with embedding LiDAR technology into wireless frameworks, aiming to provide a comprehensive understanding and pave the way for future advancements in this domain.

Department(s)

Electrical and Computer Engineering

Keywords and Phrases

beamforming; deep-learning; light detection and ranging (LiDAR); reconfigurable intelligent surface (RIS); wireless localization

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2024 Institute of Electrical and Electronics Engineers, All rights reserved.

Publication Date

01 Jan 2024

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