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Link-Level Simulator for 5G Localization
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DOI：10.1109/TWC.2022.3232379.png)
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摘要
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Channel-state-information-based localization in 5G networks has been a promising way to obtain highly accurate positions compared to previous communication networks. However, there is no unified and effective platform to support the research on 5G localization algorithms. This paper releases a link-level simulator for 5G localization, which can depict realistic physical behaviors of the 5G positioning signal transmission. Specifically, we first develop a simulation architecture considering more elaborate parameter configuration and physical-layer processing. The architecture supports the link modeling at sub-6GHz and millimeter-wave (mmWave) frequency bands. Subsequently, the critical physical-layer components that determine the localization performance are designed and integrated. In particular, a lightweight new-radio channel model and hardware impairment functions that significantly limit the parameter estimation accuracy are developed. Finally, we present three application cases to evaluate the simulator, i.e. two-dimensional mobile terminal localization, mmWave beam sweeping, and beamforming-based angle estimation. The numerical results in the application cases present the performance diversity of localization algorithms in various impairment conditions.
Keyword:
5G localization
analog beamforming
channel modeling
hardware impairment
link-level simulator
physical layer standard
positioning reference signal
期刊
IF:
10.7
论文数:
1.3W
被引数:
5.3W
机构
引用论文
Simu5G-An OMNeT+ plus Library for End-to-End Performance Evaluation of 5G NetworksSimu5G-An OMNeT plus库，用于5g网络的端到端性能评估.png)
IEEE ACCESS
OAAI
IEEE ACCESSIF3.6
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