Adaptive Lighting Control in Visible Light Systems: An Integrated Sensing, Communication, and Illumination Framework

TL;DR

This paper introduces an adaptive framework for visible light communication systems that optimizes energy efficiency, user comfort, and sensing accuracy by dynamically adjusting system objectives based on user location.

Contribution

It proposes an innovative adaptive ISCI framework that balances energy savings, communication, and illumination by dynamically switching optimization goals based on user activity areas.

Findings

Achieves 53.59% energy savings compared to non-adaptive systems.

Improves SNR uniformity by 57.79%.

Maintains a mean localization error of 0.071 meters.

Abstract

Indoor visible light communication (VLC) is a promising sixth-generation (6G) technology, as its directional and sensitive optical signals are naturally suited for integrated sensing and communication (ISAC). However, current research mainly focuses on maximizing data rates and sensing accuracy, creating a conflict between high performance, high energy consumption, and user visual comfort. This paper proposes an adaptive integrated sensing, communication, and illumination (ISCI) framework that resolves this conflict by treating energy savings as a primary objective. The framework's mechanism first partitions the receiving plane using a geometric methodology, defining an activity area and a surrounding non-activity area to match distinct user requirements. User location, determined using non-line-of-sight (NLOS) sensing, then acts as a dynamic switch for the system's optimization objective. The system adaptively shifts between minimizing total transmit power while guaranteeing communication and illumination performance in the activity area and maximizing signal-to-noise ratio (SNR) uniformity in the non-activity area. Numerical results confirm that this adaptive ISCI approach achieves 53.59% energy savings over a non-adaptive system and improves SNR uniformity by 57.79%, while satisfying all illumination constraints and maintaining a mean localization error of 0.071 m.