Propagation Modeling of Backscatter Communication Channels Assisted by Intelligent Reflecting Surface

YU Hongxin; FENG Ju; DU Wei; LIAO Cheng

doi:10.11999/JEIT221195

Volume 45 Issue 7

Jul. 2023

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Article Navigation > Journal of Electronics & Information Technology > 2023 > 45(7): 2317-2324

YU Hongxin, FENG Ju, DU Wei, LIAO Cheng. Propagation Modeling of Backscatter Communication Channels Assisted by Intelligent Reflecting Surface[J]. Journal of Electronics & Information Technology, 2023, 45(7): 2317-2324. doi: 10.11999/JEIT221195

Citation:

YU Hongxin, FENG Ju, DU Wei, LIAO Cheng. Propagation Modeling of Backscatter Communication Channels Assisted by Intelligent Reflecting Surface[J]. Journal of Electronics & Information Technology, 2023, 45(7): 2317-2324. doi: 10.11999/JEIT221195

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Propagation Modeling of Backscatter Communication Channels Assisted by Intelligent Reflecting Surface

doi: 10.11999/JEIT221195

Institute of Electromagnetics, Southwest Jiaotong University, Chengdu 610031, China

Funds: The National Natural Science Foundation of China (62271416), The Natural Science Foundation of Sichuan Province (2022NSFSC0494)

Received Date: 2022-09-14
Rev Recd Date: 2022-11-24

Available Online: 2022-11-28

Publish Date: 2023-07-10

Abstract

Abstract

To model the radio wave propagation within channels of Backscatter Communication (BackCom) systems with Intelligent Reflecting Surface (IRS) included, an efficient hybrid method based on the Parabolic Equation (PE) method and Method of Moment (MoM) is proposed in this paper. The propagation modeling of IRS-assisted channels in electrically-large scenarios is considered in this method through aspects of radio wave propagation and electromagnetic scattering. The two aspects are then numerically solved by the PE method and MoM, respectively. Through simulations of IRS-assisted channels in line-of-sight as well as non-line-of-sight scenario, the efficiency of the PE-MoM hybrid method is demonstrated. Simulation results show that the computational speed of the proposed algorithm is 6.46 times faster than that of MoM. Meanwhile, the computational resource consumption is also reduced by 81% with the relative root mean square error maintained as 3.89%. The comparison of results shows that the proposed PE-MoM hybrid method can realize the propagation simulation of the IRS-assisted BackCom channels with a better tradeoff between the computational accuracy and computational efficiency achieved.
- Backscatter Communication (BackCom),
- Intelligent Reflecting Surface (IRS),
- Channel modeling,
- Radio wave propagation,
- Parabolic Equation (PE)

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References(20)

References

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