Resource Optimization in Visible Light Communication for Internet of Things

Abstract

In the modern day, there is a serious spectrum crunch in the legacy radio frequency (RF) band, for which visible light communication (VLC) can be a promising option. VLC is a short-range wireless communication variant which uses the visible light spectrum. In this paper, we are using a VLC-based architecture for providing scalable communications to Internet-of-Things (IoT) devices where a multi-element hemispherical bulb is used that can transmit data streams from multiple light emitting diode (LED) boards. The essence of this architecture is that it uses a Line-of-Sight (LoS) alignment protocol that handles the handoff issue created by the movement of receivers inside a room. We start by proposing an optimization problem aiming to minimize the total consumed energy emitted by each LED taking into consideration the LEDs' power budget, users' perceived quality-of-service, LED-user associations, and illumination uniformity constraints. Then, because of the non-convexity of the problem, we propose to solve it in two stages: (1) We design an efficient algorithm for LED-user association for fixed LED powers, and (2) using the LED-user association, we find an approximate solution based on Taylor series to optimize the LEDs' power. We devise a heuristic solution based on this approach. Finally, we illustrate the performance of our method via simulations.

Meeting Name

25th IEEE International Symposium on Local and Metropolitan Area Networks, LANMAN 2019 (2019: Jul. 1-3, Paris, France)

Department(s)

Electrical and Computer Engineering

Comments

This work was supported in part by NSF awards 1836741 and 1663764.

Keywords and Phrases

Illumination Uniformity; Joint Optimization; Visible Light Communication

International Standard Book Number (ISBN)

978-172811434-7

International Standard Serial Number (ISSN)

1944-0367

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2019 IEEE Computer Society, All rights reserved.

Publication Date

01 Jul 2019

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