Optimization of SINR and Illumination Uniformity in Multi-LED Multi-Datastream VLC Networks
Abstract
Visible Light Communication (VLC), which is a recent technology that operates at the visible light spectrum band, is a very propitious technology complementary to RF in the era of spectrum crisis. Because of the extensive deployment of energy efficient Light Emitting Diodes (LEDs) and the advancements in LED technology with fast nanosecond switching times, VLC has gained a lot of interest recently. In this paper, we consider a downlink VLC architecture which is capable of providing simultaneous lighting and communication coverage across an indoor setting. We design a multi-element hemispherical bulb which transmits multiple data streams from its LEDs to mobile receivers. The architecture employs a Line-of-Sight (LOS) alignment protocol to tackle the hand-off issue caused by the mobility of the receivers in the room. We formulate an optimization problem that jointly addresses the LED-user associations as well as the LEDs' transmit powers in order to maximize the Signal-to-Interference plus Noise Ratio (SINR) while taking into consideration an acceptable illumination uniformity constraint across the room. We propose a near-optimal solution using Geometric Programming (GP) to solve the optimization problem, and compare the performance of this GP solution to low complexity heuristics.
Recommended Citation
S. I. Mushfique et al., "Optimization of SINR and Illumination Uniformity in Multi-LED Multi-Datastream VLC Networks," IEEE Transactions on Cognitive Communications and Networking, vol. 6, no. 3, pp. 1108 - 1121, Institute of Electrical and Electronics Engineers (IEEE), Sep 2020.
The definitive version is available at https://doi.org/10.1109/TCCN.2020.2972310
Department(s)
Electrical and Computer Engineering
Research Center/Lab(s)
Intelligent Systems Center
Keywords and Phrases
Illumination Uniformity; Joint Optimization.; Visible Light Communication
International Standard Serial Number (ISSN)
2332-7731
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2020 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
01 Sep 2020
Comments
This work was supported in part by NSF awards 1836741 and 1647189.