Multi-User SLNR-Based Precoding With Gold Nanoparticles in Vehicular VLC Systems

Fuente: arXiv
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Autori principali: Han, Geonho, Choi, Hyuckjin, Cho, Hyesang, Han, Jeong Hyeon, Nam, Ki Tae, Choi, Junil
Natura: Preprint
Pubblicazione: 2025
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author Han, Geonho
Choi, Hyuckjin
Cho, Hyesang
Han, Jeong Hyeon
Nam, Ki Tae
Choi, Junil
author_facet Han, Geonho
Choi, Hyuckjin
Cho, Hyesang
Han, Jeong Hyeon
Nam, Ki Tae
Choi, Junil
contents Visible spectrum is an emerging frontier in wireless communications for enhancing connectivity and safety in vehicular environments. The vehicular visible light communication (VVLC) system is a key feature in leveraging existing infrastructures, but it still has several critical challenges. Especially, VVLC channels are highly correlated due to the small gap between light emitting diodes (LEDs) in each headlight, making it difficult to increase data rates by spatial multiplexing. In this paper, we exploit recently synthesized gold nanoparticles (GNPs) to reduce the correlation between LEDs, i.e., the chiroptical properties of GNPs for differential absorption depending on the azimuth angle of incident light are used to mitigate the LED correlation. In addition, we adopt a signal-to-leakage-plus-noise ratio (SLNR)-based precoder to support multiple users. The ratio of RGB light sources in each LED also needs to be optimized to maximize the sum SLNR satisfying a white light constraint for illumination since the GNPs can vary the color of transmitted light by the differential absorption across wavelength. The nonconvex optimization problems for precoders and RGB ratios can be solved by the generalized Rayleigh quotient with the approximated shot noise and successive convex approximation (SCA). The simulation results show that the SLNR-based precoder with the optimized RGB ratios significantly improves the sum rate in a multi-user vehicular environment and the secrecy rate in a wiretapping scenario. The proposed SLNR-based precoding verifies that the decorrelation between LEDs and the RGB ratio optimization are essential to enhance the VVLC performance.
format Preprint
id arxiv_https___arxiv_org_abs_2508_16075
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Multi-User SLNR-Based Precoding With Gold Nanoparticles in Vehicular VLC Systems
Han, Geonho
Choi, Hyuckjin
Cho, Hyesang
Han, Jeong Hyeon
Nam, Ki Tae
Choi, Junil
Information Theory
Signal Processing
Visible spectrum is an emerging frontier in wireless communications for enhancing connectivity and safety in vehicular environments. The vehicular visible light communication (VVLC) system is a key feature in leveraging existing infrastructures, but it still has several critical challenges. Especially, VVLC channels are highly correlated due to the small gap between light emitting diodes (LEDs) in each headlight, making it difficult to increase data rates by spatial multiplexing. In this paper, we exploit recently synthesized gold nanoparticles (GNPs) to reduce the correlation between LEDs, i.e., the chiroptical properties of GNPs for differential absorption depending on the azimuth angle of incident light are used to mitigate the LED correlation. In addition, we adopt a signal-to-leakage-plus-noise ratio (SLNR)-based precoder to support multiple users. The ratio of RGB light sources in each LED also needs to be optimized to maximize the sum SLNR satisfying a white light constraint for illumination since the GNPs can vary the color of transmitted light by the differential absorption across wavelength. The nonconvex optimization problems for precoders and RGB ratios can be solved by the generalized Rayleigh quotient with the approximated shot noise and successive convex approximation (SCA). The simulation results show that the SLNR-based precoder with the optimized RGB ratios significantly improves the sum rate in a multi-user vehicular environment and the secrecy rate in a wiretapping scenario. The proposed SLNR-based precoding verifies that the decorrelation between LEDs and the RGB ratio optimization are essential to enhance the VVLC performance.
title Multi-User SLNR-Based Precoding With Gold Nanoparticles in Vehicular VLC Systems
topic Information Theory
Signal Processing
url https://arxiv.org/abs/2508.16075