Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/164959
Title: Vortex beams enhance IRS-aided low-rank channel transmission: principle and prototype
Authors: Zhao, Yufei
Guan, Yong Liang
Yang, Zhaojie
Ju, Gaohua
Lu, Yilong
Keywords: Engineering::Electrical and electronic engineering::Wireless communication systems
Issue Date: 2023
Source: Zhao, Y., Guan, Y. L., Yang, Z., Ju, G. & Lu, Y. (2023). Vortex beams enhance IRS-aided low-rank channel transmission: principle and prototype. 2023 IEEE International Conference on Communications (ICC 2023), 883-888. https://dx.doi.org/10.1109/ICC45041.2023.10279703
Project: FCP-NTU-RG-2021-015 
A19D6a0053 
Conference: 2023 IEEE International Conference on Communications (ICC 2023)
Abstract: The Intelligent Reflection Surface (IRS) is a crucial technology for the development of next-generation wireless mobile networks. However, its deployment is usually limited to Line-of-Sight (LoS) transmission paths of Base Stations (BSs) due to path-loss and beamforming restrictions. LoS wireless channels are known to have low-rank characteristics, which significantly reduce the capacity of IRS-assisted communication links. To overcome this issue, we propose a new IRS transmission scheme using vortex beams. These beams have low correlation properties between different modes, thus improving the channel capacity for served users. In this paper, we detail the channel capacity comparison of IRS systems using vortex beams and conventional plane waves. Additionally, a 2-bit phase quantized IRS prototype is designed and tested through full-wave Electro-Magnetic (EM) simulations and actual transmission experiments, allowing for the conversion of mode 1 vortex beams and plane waves at a pre-determined reflection angle (e.g., ${30^\circ }$). Our simulation results and prototype tests show that this design is effective in manipulating reflected vortex beams and plane waves in 3D space, meeting the demands of future intelligent wireless communications.
URI: https://hdl.handle.net/10356/164959
URL: https://icc2023.ieee-icc.org/program/technical-symposium-program/symposia-monday-29-may-2023
ISBN: 978-1-5386-7462-8
ISSN: 1938-1883
DOI: 10.1109/ICC45041.2023.10279703
Schools: School of Electrical and Electronic Engineering 
Research Centres: Transport Research Centre @ NTU
Rights: © 2023 IEEE. All rights reserved. This article may be downloaded for personal use only. Any other use requires prior permission of the copyright holder. The Version of Record is available online at http://doi.org/10.1109/ICC45041.2023.10279703.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Conference Papers

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