Energy-Efficient RIS-Aided Laser-Based LiFi System with Dynamic Coverage Optimization

Huang Y, Papanikolaou V, Ajam H, Safari M, Schober R, Haas H, Tavakkolnia I (2025)


Publication Type: Conference contribution

Publication year: 2025

Journal

Publisher: Institute of Electrical and Electronics Engineers Inc.

Pages Range: 5412-5418

Conference Proceedings Title: IEEE International Conference on Communications

Event location: Montreal, QC, CAN

ISBN: 9798331505219

DOI: 10.1109/ICC52391.2025.11161959

Abstract

Achieving high-speed optical wireless communication (OWC) with efficient energy usage and full coverage in dynamic environments remains a significant challenge, particularly due to misalignment issues caused by user mobility and random receiver orientations. To address these challenges, this study introduces an innovative reconfigurable intelligent surfaces (RIS)-assisted laser-based light-fidelity (LiFi) system enhanced for energy efficiency and comprehensive coverage. An algorithm is developed to optimize the placement of RIS, reducing the need for continuous real-time adjustments and decreasing system complexity. Moreover, this study introduces a novel power allocation algorithm for multi-tier access points (APs) designed to reduce power consumption. Numerical results demonstrate the superiority of the proposed algorithm over previous designs in terms of transmitted power and outage probability.

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How to cite

APA:

Huang, Y., Papanikolaou, V., Ajam, H., Safari, M., Schober, R., Haas, H., & Tavakkolnia, I. (2025). Energy-Efficient RIS-Aided Laser-Based LiFi System with Dynamic Coverage Optimization. In Matthew Valenti, David Reed, Melissa Torres (Eds.), IEEE International Conference on Communications (pp. 5412-5418). Montreal, QC, CAN: Institute of Electrical and Electronics Engineers Inc..

MLA:

Huang, Yifan, et al. "Energy-Efficient RIS-Aided Laser-Based LiFi System with Dynamic Coverage Optimization." Proceedings of the 2025 IEEE International Conference on Communications, ICC 2025, Montreal, QC, CAN Ed. Matthew Valenti, David Reed, Melissa Torres, Institute of Electrical and Electronics Engineers Inc., 2025. 5412-5418.

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