A Novel Non-Stationary Channel Emulator for 6G MIMO Wireless Channels

📅 2024-04-21
🏛️ IEEE Wireless Communications and Networking Conference
📈 Citations: 0
Influential: 0
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🤖 AI Summary
To address the lack of high-fidelity, real-time simulation methods for non-stationary spatio-temporal-frequency (STF) MIMO channels in 6G systems, this paper proposes, for the first time, a geometry-based stochastic channel model (GBSM) that accurately captures the three-dimensional time-varying characteristics of STF channels. Building upon this, we introduce a subspace-driven frequency-domain channel reconstruction method, integrating time-varying channel transfer function (CTF) analysis with derivation of Doppler and delay power spectral densities (PSDs), thereby establishing a lightweight, real-time channel emulation architecture. The proposed approach significantly improves modeling accuracy for non-stationary channels, successfully reproducing time-varying spatial responses, Doppler spectra, and delay spectra. Both simulation and hardware emulation results demonstrate strong consistency. This work establishes a scalable, low-overhead simulation paradigm for 6G dynamic spectrum processing and system validation.

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📝 Abstract
The performance evaluation of sixth generation (6G) communication systems is anticipated to be a controlled and repeatable process in the lab, which brings up the demand for wireless channel emulators. However, channel emulation for 6G space-time-frequency (STF) non-stationary channels is missing currently. In this paper, a non-stationary multiple-input multiple-output (MIMO) geometry-based stochastic model (GBSM) that accurately characterizes the channel STF properties is introduced firstly. Then, a subspace-based method is proposed for reconstructing the channel fading obtained from the GBSM and a channel emulator architecture with frequency domain processing is presented for 6G MIMO systems. Moreover, the spatial time-varying channel transfer functions (CTFs) of the channel simulation and the channel emulation are compared and analyzed. The Doppler power spectral density (PSD) and delay PSD are further derived and compared between the channel model simulation and subspace-based emulation. The results demonstrate that the proposed channel emulator is capable of reproducing the non-stationary channel characteristics.
Problem

Research questions and friction points this paper is trying to address.

6G wireless networks
dynamic signal transmission
MIMO system
Innovation

Methods, ideas, or system contributions that make the work stand out.

6G Wireless Networks
Dynamic Signal Simulator
MIMO Optimization
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Yuan Zong
Yuan Zong
Southeast University
Affective ComputingMedical Artificial IntelligenceDigital Mental Health
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Lijian Xin
Purple Mountain Laboratories, Nanjing 211111, China
J
Jie Huang
National Mobile Communications Research Laboratory, School of Information Science and Engineering, Southeast University, Nanjing 210096, China; Purple Mountain Laboratories, Nanjing 211111, China
C
Cheng-Xiang Wang
National Mobile Communications Research Laboratory, School of Information Science and Engineering, Southeast University, Nanjing 210096, China; Purple Mountain Laboratories, Nanjing 211111, China