A2G Channel Measurement and Characterization via TNN for UAV Multi-Scenario Communications

Kai Mao, Qiuming Zhu, Fuqiao duan, Yanheng Qiu, Maozhong Song, Wei Fan, Yang Miao

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review


Unmanned aerial vehicle (UAV) is considered as an important component for future communication networks. In this paper, an air-to-ground (A2G) channel sounder is designed and implemented for UAV communication channel measurement and characterization. The channel impulse response (CIR) extraction is implemented on a field programmable gate array (FPGA) to improve extraction efficiency. Based on the channel characteristics under measured (or baseline) scenarios, a transfer learning neural network (TNN) framework is also proposed to predict the channel characteristics of other unmeasured (or transferred) scenarios. In the proposed framework, the baseline matrices of neural network parameters are obtained from the measurement data of baseline scenarios. The ray tracing (RT) simulation data is only used to obtain the extrapolation matrices where we utilize imperfect digital map and do not require a highly accurate RT simulation. Then the neural network driven by the baseline and extrapolation matrices is used to predict the channel characteristics of transferred scenarios. To verify the proposed prediction method, the channel characteristics including path loss, K-factor, and root mean square delay spread of a near-urban scenario are firstly measured. Then, the corresponding channel characteristics of a transferred dense-urban scenario are predicted by the proposed TNN method and validated by the measurement data. It is shown that the predicted channel characteristics are well consistent with the measured ones.

Original languageEnglish
Title of host publication2022 IEEE Global Communications Conference: Selected Areas in Communications: Aerial Communications
Number of pages6
Publication date2023
ISBN (Electronic)9781665435406
Publication statusPublished - 2023
Event GLOBECOM 2022 - 2022 IEEE Global Communications Conference - Rio de Janeiro
Duration: 4 Dec 20228 Dec 2022


Conference GLOBECOM 2022 - 2022 IEEE Global Communications Conference
CityRio de Janeiro


  • Unmanned aerial vehicle (UAV)
  • air-to-ground (A2G)
  • channel measurement and characteristics
  • transfer learning neural network (TNN)

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