{"title":"A comprehensive study on indoor VLC systems using advanced equalization techniques employing CAP modulation in SISO, SMP, and SM configurations","authors":"Saeed Ashouri, Gholamreza Baghersalimi, Hossein Goorani","doi":"10.1016/j.rio.2026.101033","DOIUrl":null,"url":null,"abstract":"<div><div>Indoor visible light communication (VLC) using light-emitting diodes (LEDs) faces critical performance challenges due to LED nonlinearity, limited modulation bandwidth, and multipath-induced inter-symbol interference. This study evaluates carrierless amplitude and phase (CAP) modulation across single-input single-output (SISO), spatial multiplexing (SMP), and spatial modulation (SM) configurations, employing linear least mean square (LMS) and nonlinear Legendre functional link artificial neural network (Le-FLANN) and Volterra equalization techniques. Under realistic LED operating conditions and spatial misalignment, Le-FLANN achieves significant signal-to-noise-ratio per bit (<em>E</em><sub>b</sub>/<em>N</em><sub>0</sub>) improvements at bit error rate (BER) = 10<sup>−4</sup>: 0.9 dB in SISO, 2.9 dB in SMP, and 1.5 dB in SM, compared to LMS. SMP delivers an aggregate throughput of 24 Mbps by transmitting two independent 12 Mbps CAP streams in parallel over a 4.5 MHz LED bandwidth. These findings demonstrate the practical value of structured nonlinear equalization in bandwidth-constrained VLC links, offering enhanced resilience to LED-induced distortion and spatial channel impairments.</div></div>","PeriodicalId":21151,"journal":{"name":"Results in Optics","volume":"24 ","pages":"Article 101033"},"PeriodicalIF":3.3000,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Results in Optics","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666950126000775","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/5/11 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"Physics and Astronomy","Score":null,"Total":0}
引用次数: 0
Abstract
Indoor visible light communication (VLC) using light-emitting diodes (LEDs) faces critical performance challenges due to LED nonlinearity, limited modulation bandwidth, and multipath-induced inter-symbol interference. This study evaluates carrierless amplitude and phase (CAP) modulation across single-input single-output (SISO), spatial multiplexing (SMP), and spatial modulation (SM) configurations, employing linear least mean square (LMS) and nonlinear Legendre functional link artificial neural network (Le-FLANN) and Volterra equalization techniques. Under realistic LED operating conditions and spatial misalignment, Le-FLANN achieves significant signal-to-noise-ratio per bit (Eb/N0) improvements at bit error rate (BER) = 10−4: 0.9 dB in SISO, 2.9 dB in SMP, and 1.5 dB in SM, compared to LMS. SMP delivers an aggregate throughput of 24 Mbps by transmitting two independent 12 Mbps CAP streams in parallel over a 4.5 MHz LED bandwidth. These findings demonstrate the practical value of structured nonlinear equalization in bandwidth-constrained VLC links, offering enhanced resilience to LED-induced distortion and spatial channel impairments.