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

2025-11-26

AI Summary

Indoor visible light communication (VLC) faces an inherent trade-off among high communication/sensing performance, visual comfort, and energy efficiency. Method: This paper proposes an energy-centric adaptive integrated sensing, communication, and illumination (ISCI) framework. It identifies user activity regions via geometric planar partitioning and achieves sub-decimeter real-time localization (mean error: 0.071 m) using non-line-of-sight (NLOS) sensing. The system dynamically switches optimization objectives: prioritizing signal-to-noise ratio (SNR) uniformity in active zones and minimizing optical power in inactive zones—all under joint illumination quality and communication constraints. Contribution/Results: Experimental evaluation demonstrates a 53.59% reduction in energy consumption and a 57.79% improvement in SNR uniformity compared to non-adaptive baselines, while fully complying with CIE indoor lighting standards.

Technology Category

• Planning, Routing, and Scheduling: Optimization of Spatio-temporal Systems
• Search and Optimization: Local Search
• Intelligent Robots: Localization, Mapping, and Navigation

Application Category

• Systems and Infrastructure for Web, Mobile and WoT: Energy management for devices in mobile Web and WoT environments
• Security and Privacy: Large-scale security measurements
• User Modeling, Personalization and Recommendation: User privacy protection in personalized systems

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.

Problem

• Balancing high performance with energy efficiency in visible light systems
• Resolving conflicts between communication quality and user visual comfort
• Optimizing illumination control while maintaining accurate indoor localization

Innovation

• Adaptive ISCI framework balances communication, sensing, and illumination
• Geometric partitioning separates activity and non-activity areas
• NLOS sensing dynamically switches optimization objectives