SLIPT in Joint Dimming Multi-LED OWC Systems with Rate Splitting Multiple Access

• Published in: ICC 2024 - IEEE International Conference on Communications pp. 4359 - 4365
• Main Authors: Javadi, Sepideh, Faramarzi, Sajad, Zeinali, Farshad, Zarini, Hosein, Mili, Mohammad Robat, Diamantoulakis, Panagiotis D., Jorswieck, Eduard, Karagiannidis, George K.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 09.06.2024
• Subjects: Dynamic scheduling; Energy consumption; joint dimming (JD); Light emitting diodes; Optical wireless communication (OWC); proximal policy optimization (PPO); Quality of service; rate splitting multiple access (RSMA); Real-time systems; Reinforcement learning; simultaneous lightwave information and power transfer (SLIPT); Wireless communication
• ISSN: 1938-1883
• DOI: 10.1109/ICC51166.2024.10622982

Optical wireless communication (OWC) systems with multiple light-emitting diodes (LEDs) have recently been explored to support energy-limited devices via simultaneous lightwave information and power transfer (SLIPT). The energy consumption, however, becomes considerable by increasing the number of incorporated LEDs. This paper proposes a joint dimming (JD) scheme that lowers the consumed power of a SLIPT-enabled OWC system by controlling the number of active LEDs. We further enhance the data rate of this system by utilizing rate splitting multiple access (RSMA). More specifically, we formulate a data rate maximization problem to optimize the beamforming design, LED selection and RSMA rate adaptation that guarantees the power budget of the OWC transmitter, as well as the quality-of-service (QoS) and an energy harvesting level for users. We propose a dynamic resource allocation solution based on proximal policy optimization (PPO) reinforcement learning. In simulations, the optimal dimming level is determined to initiate a trade-off between the data rate and power consumption. It is also verified that RSMA significantly improves the data rate.