Article Sidebar
Views PDF: 156
Analysis of Electromagnetic Reflection Characteristics on an Intelligent Reflecting Surface
Main Article Content
Abstract
Intelligent reflecting surface (IRS) with its ability in flexible reflection control and signal phase-shift adjustability is considered a potential solution for enhancing wireless performance to meet the requirements of the beyond 5G and 6G networks. This paper focuses on analyzing the characteristics of reflected electromagnetic (EM) waves on the IRS for different IRS configurations. Especially, the effect of angular misalignment between the actual incident EM wave and the configured angle of the IRS on the reflection is studied. The theoretical results allow simulations for investigating the behaviour of EM waves on the IRS. The obtained numerical results provide useful information, that facilitates the design system and configuration for IRS-aided wireless communication systems.
Article Details
Keywords
intelligent reflecting surface, wave propagation, scattering model, physical optic method, wireless system
References
Chen, J., Liang, Y.-C., Pei, Y., & Guo, H. (2019). Intelligent Reflecting Surface: A Programmable Wireless Environment for Physical Layer Security. IEEE Access, 7, 82599-82612.
Hou, T., Liu, Y., Song, Z., Sun, X., Chen, Y., & Hanzo, L. (2019). MIMO assisted networks relying on intelligent reflective surfaces, arXiv:1910.00959. [Online]. Available: https://arxiv.org/abs/1910.00959
Tuan, V. P., & Hong, I. P., (2020). Secrecy Performance Analysis and Optimization of Intelligent Reflecting Surface-Aided Indoor Wireless Communications. IEEE Access, 8, 109440-109452.
Wu, Q., & Zhang, R. (2019). Intelligent Reflecting Surface Enhanced Wireless Network via Joint Active and Passive Beamforming. IEEE Trans. on Wireless Commun., 18(11), 5394-5409.
Wu, Q., & Zhang, R. (2020). Weighted Sum Power Maximization for Intelligent Reflecting Surface Aided SWIPT. IEEE Wireless Commun. Lett., 9(5), 586-590.
Zhang, J., Du, H., Sun, Q., Ai, B., & Ng, D. W. K. (2021). Physical Layer Security Enhancement with Reconfigurable Intelligent Surface-Aided Networks. IEEE Trans. on Info. Forensics and Security, 16, 3480-3495.