The transition toward net-zero cities calls for intelligent, secure, and energy-efficient communication systems that can operate with minimal reliance on traditional power infrastructure. This project proposes the development of an advanced solar-powered LiFi (Light Fidelity) system, governed by AI-driven control, to support sustainable and resilient indoor connectivity for future smart city environments.

The proposed solution integrates solar-enabled LiFi receivers capable of simultaneous lightwave information and power transfer (SLIPT) with secure and energy-aware optical transmitters. To balance communication performance and harvested energy, the system will be managed by AI algorithms that dynamically adjust modulation parameters and transmission strategies based on environmental factors such as illumination levels, bit error rate (BER), and available energy. The system architecture is designed to serve power-constrained indoor applications that demand low-power operation and intelligent adaptation to environmental conditions.

The project brings together expertise from the University of Dubai, the University of Cambridge, and Al Amal Hospital, forming a multidisciplinary consortium that spans AI optimization, optical wireless hardware, and healthcare-oriented deployment scenarios. In particular, Al Amal Hospital will serve as a reference case study for evaluating the system in environments where electromagnetic interference (EMI) must be avoided, demonstrating the potential of LiFi as a secure and interference-free alternative in sensitive clinical settings.

By pioneering the convergence of solar power harvesting and AI-optimized LiFi, this project supports the UAE’s strategic vision for net-zero smart cities, AI innovation, and resilient digital infrastructure.