Intelligent Reflecting Surfaces (IRS) have emerged as a transformative technology for enhancing wireless communication by dynamically adjusting signal propagation. Their low power consumption makes IRS particularly promising for improving energy efficiency (EE). This talk explores a novel approach to leveraging both optical IRS (OIRS) and radio frequency (RF) IRS to enhance aggregated visible light communication (VLC)-RF systems.  

 

A comprehensive model for IRS-assisted aggregated VLC-RF systems is presented, alongside an EE maximization problem formulated to optimize system performance. The problem is decomposed into four interrelated subproblems: RF IRS configuration, optical subchannel assignment, OIRS arrangement, and joint power allocation. Using a block coordinate descent (BCD) approach, these subproblems are solved iteratively, revealing significant EE improvements.  

 

Simulation results demonstrate the effectiveness of the proposed BCD-based resource allocation algorithm, along with insights into system parameter influence and algorithm convergence. This talk highlights the potential of IRS technology to revolutionize the design of energy-efficient next-generation communication systems.

 

This presentation is based on the paper: An, N., Yang, F., Cheng, L., Song, J., & Han, Z. (2024). IRS-assisted Aggregated VLC-RF System: Resource Allocation for Energy Efficiency Maximization. IEEE Transactions on Wireless Communications, Volume 23, Issue 10, pp. 12578–12593.

Topic:

Energy-Efficient Resource Allocation in Intelligent Reflecting Surfaces Assisted Aggregated VLC-RF Systems