Energy-Efficient Resource Allocation in Intelligent Reflecting Surfaces Assisted Aggregated VLC-RF Systems
#communications
#VLC-RF
#energy
#efficiency
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.
Date and Time
Location
Hosts
Registration
-
Add Event to Calendar
Loading virtual attendance info...
Speakers
Prof. Ling Cheng of University of the Witwatersrand
Topic:
Energy-Efficient Resource Allocation in Intelligent Reflecting Surfaces Assisted Aggregated VLC-RF Systems
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.
Biography:
Prof. Ling Cheng (M’10-SM’15) received the degree B. Eng. Electronics and Information (cum laude) from Huazhong University of Science and Technology (HUST) in 1995, M. Ing. Electrical and Electronics (cum laude) in 2005, and D. Ing. Electrical and Electronics in 2011 from University of Johannesburg (UJ). His research interests are in Telecommunications and Artificial Intelligence. In 2010, he joined University of the Witwatersrand where he was promoted to Full Professor in 2019. He serves as the associate editor of three journals. He has published more than one hundred research papers in journals and conference proceedings. He has been a visiting professor at five universities and the principal advisor for over forty full research post-graduate students. He was awarded the Chancellor’s medals in 2005, 2019 and the National Research Foundation ratings in 2014, 2020. The IEEE ISPLC 2015 best student paper award was made to his Ph.D. student in Austin. He is a senior member of IEEE and the vice-chair of IEEE South African Information Theory Chapter.
