Digital Twins of Electromagnetic Propagation Environments for Live 5G Networks—Part II: High-Fidelity Emulation in the MPAC Setup

This article tackles one of the key challenges for over-the-air (OTA) testing of multiinput multioutput (MIMO) devices, that is, accurately reproducing the electromagnetic (EM) propagation environment of live 5G networks within multiprobe anechoic chamber (MPAC) setups. We propose a digital twin (DT) emulation framework to reconstruct the fading environment of live 5G networks in the laboratory with high fidelity. This framework consists of two steps: first, high-accuracy wireless channel acquisition in the field, and subsequently, EM environment reconstruction within the MPAC setup in the laboratory. Initially, a home-developed passive channel sounding system, which has been introduced in detail in Part I of the work, is adopted to accurately capture the multipath parameters for 5G commercial networks. Then, the obtained channel data is used to synthesize the EM environment in the MPAC setup, creating a DT of the EM propagation environment that mirrors the deployment field conditions. To assess the accuracy of the DT, the variation in the reference signal received power (RSRP) of a commercial smartphone across different orientations is chosen as the evaluation metric, which has been measured both in the field and laboratory. Measurement results demonstrate a good alignment between the real world and the emulated DT, validating the effectiveness of the proposed framework.

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Publication Details

Journal
IEEE Transactions on Antennas and Propagation
Published
2024-11-22
DOI
https://doi.org/10.1109/tap.2024.3499344
Citations
2
Primary Topic
Telecommunications and Broadcasting Technologies
Type
article
Field-Weighted Citation Impact
0.64

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article

Digital Twins of Electromagnetic Propagation Environments for Live 5G Networks—Part II: High-Fidelity Emulation in the MPAC Setup

Yong‐Wei Zhong, Wenbo Wang, Zhiqin Wang, Shijie Lin et al.
2 citations
IEEE Transactions on Antennas and Propagation
Telecommunications and Broadcasting Technologies
0.64
article

Digital Twins of Electromagnetic Propagation Environments for Live 5G Networks—Part II: High-Fidelity Emulation in the MPAC Setup

Yong‐Wei Zhong, Wenbo Wang, Zhiqin Wang, Shijie Lin, Lei Li
article en
2 citations

Abstract

This article tackles one of the key challenges for over-the-air (OTA) testing of multiinput multioutput (MIMO) devices, that is, accurately reproducing the electromagnetic (EM) propagation environment of live 5G networks within multiprobe anechoic chamber (MPAC) setups. We propose a digital twin (DT) emulation framework to reconstruct the fading environment of live 5G networks in the laboratory with high fidelity. This framework consists of two steps: first, high-accuracy wireless channel acquisition in the field, and subsequently, EM environment reconstruction within the MPAC setup in the laboratory. Initially, a home-developed passive channel sounding system, which has been introduced in detail in Part I of the work, is adopted to accurately capture the multipath parameters for 5G commercial networks. Then, the obtained channel data is used to synthesize the EM environment in the MPAC setup, creating a DT of the EM propagation environment that mirrors the deployment field conditions. To assess the accuracy of the DT, the variation in the reference signal received power (RSRP) of a commercial smartphone across different orientations is chosen as the evaluation metric, which has been measured both in the field and laboratory. Measurement results demonstrate a good alignment between the real world and the emulated DT, validating the effectiveness of the proposed framework.

IEEE Transactions on Antennas and PropagationVol. 73(4)
Beijing University of Posts and Telecommunications (CN), China Mobile (China) (CN), China Academy of Information and Communications Technology (CN)
National Key Research and Development Program of China
Affordable and clean energy
Openalex Percentile: Top 25%
Telecommunications and Broadcasting Technologies
0.64
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