Joint Power Allocation and LED Transmission Angle Tuning in NOMA-Enabled VLC Networks

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Visible light communication (VLC) has been envisaged as a key enabler for high-data rate wireless services in future wireless communication networks. On the other hand, it was also demonstrated recently that non-orthogonal multiple access (NOMA) can further improve the spectral efficiency of multiuser VLC systems. In this context, we propose an efficient deep Q-learning based algorithm that maximizes the average sum rate of the downlink in the NOMA-VLC network. This is achieved by jointly optimizing the power allocation and the transmission angle of the LEDs. The obtained results demonstrate that our algorithm offers a noticeable performance enhancement in terms of average sum rate, while maintaining the minimum convergence time.

Original languageBritish English
Title of host publication2022 1st International Conference on 6G Networking, 6GNet 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665467636
DOIs
StatePublished - 2022
Event1st International Conference on 6G Networking, 6GNet 2022 - Paris, France
Duration: 6 Jul 20228 Jul 2022

Publication series

Name2022 1st International Conference on 6G Networking, 6GNet 2022

Conference

Conference1st International Conference on 6G Networking, 6GNet 2022
Country/TerritoryFrance
CityParis
Period6/07/228/07/22

Keywords

  • Deep reinforcement learning
  • Multiple access
  • Resource allocation
  • Sum-rate
  • Visible light communications

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