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Robust precoding for multi-user visible light communications with quantized channel information

Authors :
Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
Universitat Politècnica de Catalunya. SPCOM - Processament del Senyal i Comunicacions
Muñoz Medina, Olga
Pascual Iserte, Antonio
San Arranz, Guillermo
Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
Universitat Politècnica de Catalunya. SPCOM - Processament del Senyal i Comunicacions
Muñoz Medina, Olga
Pascual Iserte, Antonio
San Arranz, Guillermo
Publication Year :
2022

Abstract

In this paper, we address the design of multi-user multiple-input single-output (MU-MISO) precoders for indoor visible light communication (VLC) systems. The goal is to minimize the transmitted optical power per light emitting diode (LED) under imperfect channel state information (CSI) at the transmitter side. Robust precoders for imperfect CSI available in the literature include noisy and outdated channel estimation cases. However, to the best of our knowledge, no work has considered adding robustness against channel quantization. In this paper, we fill this gap by addressing the case of imperfect CSI due to the quantization of VLC channels. We model the quantization errors in the CSI through polyhedric uncertainty regions. For polyhedric uncertainty regions and positive real channels, as is the case of VLC channels, we show that the robust precoder against channel quantization errors that minimizes the transmitted optical power while guaranteeing a target signal to noise plus interference ratio (SNIR) per user is the solution of a second order cone programming (SOCP) problem. Finally, we evaluate its performance under different quantization levels through numerical simulations.<br />This work has been funded by the Agencia Estatal de Investigación, Ministerio de Ciencia e Innovación (Gobierno de España), MCIN/AEI/10.13039/501100011033, through the project ROUTE56 PID2019-104945GB-I00.<br />Peer Reviewed<br />Postprint (published version)

Details

Database :
OAIster
Notes :
12 p., application/pdf, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1355842417
Document Type :
Electronic Resource