Precoded visible light communications

Jian Chen, Yang Hong, Zixiong Wang, Changyuan Yu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

12 Citations (Scopus)

Abstract

Multiple input multiple output (MIMO) technology appears attractive for indoor visible light communication (VLC) systems as multiple light-emitting diodes (LED) sources are typically deployed for indoor environment. Most of current indoor MIMO VLC systems utilize single user terminal scenario to investigate the performance of the system. However, typical arrangement of a practical indoor environment is comprised of multiple user terminals, which makes it complicated for signal processing. However, reduction of the complexity of a mobile terminal is advantageous to its signal processing capability and battery life extension. This paper investigated the precoded multi-user (MU) MIMO indoor VLC system. Since the main difficulty of MU-MIMO VLC system is to distinguish the received data for decentralized user terminals, precoding method is introduced to eliminate multi-user interference (MUI) in the transmitter of a VLC system, which leads to the reduction of complexity and power consumption of user terminals. Based on a 4 × [2, 2] indoor VLC system at 100 Mbit/s, the proposed system can perform well through numerical simulations.
Original languageEnglish
Title of host publicationICICS 2013 - Conference Guide of the 9th International Conference on Information, Communications and Signal Processing
PublisherIEEE Computer Society
DOIs
Publication statusPublished - 1 Jan 2013
Event9th International Conference on Information, Communications and Signal Processing, ICICS 2013 - Tainan, Taiwan
Duration: 10 Dec 201313 Dec 2013

Conference

Conference9th International Conference on Information, Communications and Signal Processing, ICICS 2013
Country/TerritoryTaiwan
CityTainan
Period10/12/1313/12/13

Keywords

  • Light-emitting diodes
  • precoding
  • visible light communications

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems
  • Signal Processing

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