Capacity maximizing power allocation for multi-channel visible light communications

Qian Gao, Sabit Ekin, Khalid Qaraqe, Erchin Serpedin

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

Abstract

Advances in visible light communication (VLC) technology and its smart-city applications have gained great interest, e.g., indoor light-fidelity (LiFi) and outdoor vehicle to vehicle (V2V). In order to fully explore the benefits of VLC under diverse channel/noise environments, it is important to schedule power efficiently so that the capacity is maximized or the error rate is minimized. We propose efficient optical power allocation algorithms for multi-channel single-user VLC capacity bounds maximization and error rate minimization for multi-user VLC with the existence of signal-dependent noise (SDN) for potential city applications. It is pointed out in this paper that the wellknown water-filling algorithm and its generalizations do not apply straightforwardly to the capacity bound optimization for VLC and other communication systems based on the intensity modulation and direct detection (IM/DD).

Original languageEnglish
Title of host publication5th IEEE International Smart Cities Conference, ISC2 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages79-82
Number of pages4
ISBN (Electronic)9781728108469
DOIs
Publication statusPublished - Oct 2019
Externally publishedYes
Event5th IEEE International Smart Cities Conference, ISC2 2019 - Casablanca, Morocco
Duration: 14 Oct 201917 Oct 2019

Publication series

Name5th IEEE International Smart Cities Conference, ISC2 2019

Conference

Conference5th IEEE International Smart Cities Conference, ISC2 2019
Country/TerritoryMorocco
CityCasablanca
Period14/10/1917/10/19

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