Implementation of Software-Defined Adaptive DCO-OFDM for Vehicular Visible Light Communication

Daniel K. Tettey, Mohammed Elamassie, Murat Uysal

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

With its high data rates and electromagnetic interference-free operation capability, visible light communication (VLC), has emerged as a potential candidate for 6G and beyond networks. In this work, we present the preliminary experimental results of our rate-adaptive OFDM vehicular VLC implemented on software-defined platform. The physical layer of the system builds upon direct current biased optical OFDM (DCO-OFDM) and supports adaptive transmission with different modulation schemes/levels including BPSK, 4-QAM, 16-QAM and 64-QAM. For switching between different modulation schemes, a feedback link with on/off keying modulation is used to send channel state information (CSI) to the OFDM transmitter. Based on the CSI, the OFDM transmitter adapts its next transmission by selecting a modulation scheme/level which maximizes the spectral efficiency while satisfying a predefined error performance target of 3.8×10-3

Original languageEnglish (US)
Title of host publicationInternational Conference on 6G Networking, 6GNet 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350306736
DOIs
StatePublished - 2023
Event2nd International Conference on 6G Networking, 6GNet 2023 - Paris, France
Duration: Oct 18 2023Oct 20 2023

Publication series

NameInternational Conference on 6G Networking, 6GNet 2023

Conference

Conference2nd International Conference on 6G Networking, 6GNet 2023
Country/TerritoryFrance
CityParis
Period10/18/2310/20/23

Keywords

  • 6G
  • Intelligent Transportation System
  • OFDM
  • Software Defined Radio
  • Spectral Efficiency
  • USRP
  • VLC

ASJC Scopus subject areas

  • Hardware and Architecture
  • Safety, Risk, Reliability and Quality
  • Artificial Intelligence
  • Computer Networks and Communications

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