Kai Mao

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Note that I only present publications in English in this default list (there are some domestic ones in Chinese). Click here to show all of them

Survey paper-IEEE TIM 2024
K. Mao, Q. Zhu, Y. Qiu, X. Liu, M. Song, W. Fan, A.B.J. Kokkeler, and Y. Miao, “A UAV-Aided Real-Time Channel Sounder for Highly Dynamic Nonstationary A2G Scenarios,” IEEE Trans. Instrum. Meas., vol. 72, pp. 1-15, Aug. 2023.
United States Patent 2023
METHOD AND DEVICE FOR MEASURING FOUR-DIMENSIONAL (4D) RADIATION PATTERN OF OUTDOOR ANTENNA BASED ON UNMANNED AERIAL VEHICLE (UAV)
IEEE TIM 2023
K. Mao, Q. Zhu, Y. Qiu, X. Liu, M. Song, W. Fan, A.B.J. Kokkeler, and Y. Miao, “A UAV-Aided Real-Time Channel Sounder for Highly Dynamic Nonstationary A2G Scenarios,” IEEE Trans. Instrum. Meas., vol. 72, pp. 1-15, Aug. 2023.
IEEE JC&S 2023
B. Van Berlo, Y. Miao, R. Hersyandika, B. Willetts, K. Mao, et al., “26 GHz OFDM and 77 GHz FMCW Radar Dataset for Domain Shift Invariant Blockage Prediction,” in Proc. JC&S'23, Seefeld, Austria, Mar. 2023, pp. 1–6.
IEEE GLOBECOM 2022
K. Mao, Q. Zhu, F. Duan, Y. Qiu, M. Song, W. Fan, and Y. Miao, “A2G channel measurement and characterization via TNN for UAV multi-scenario communications,” in Proc. GLOBECOM’22, Rio de Janeiro, Brazil, Dec. 2022, pp. 4461–4466.
ChinaCom 2022
K. Mao, Q. Zhu, X. Ye, R. Feng, F. Duan, Y. Miao, and M. Song, “UWB channel modeling and simulation with continuous frequency response,” China Communications, vol. 19, no. 11, pp. 88–98, Nov. 2022.
CSPS 2022
K. Mao, T. Lei, Y. Qiu, Q. Zhu, M. Song, and Y. Miao, “Measurements and Analysis for the Second-Order Statistical Properties of Time-Variant A2G Channels,” Changbaishan, China, Oct. 2022, pp. 280–287.
IEEE IoT 2022
K. Mao, Q. Zhu, M. Song, H. Li, B. Ning, et al., “Machine Learning-Based 3D Channel Modeling for U2V mmWave Communications,” IEEE Internet of Things Journal, vol. 9, no. 18, pp. 17592–17607, Sept. 2022.
IEEE TVT 2022
Q. Zhu, K. Mao, M. Song, X. Chen, B. Hua, W. Zhong, Y. Ye, “Map-based channel modeling and generation for U2V mmWave communication,” IEEE Trans. Veh. Technol., vol. 71, no. 8, pp. 8004–8015, May 2022.
Wireless Networks 2021
K. Mao, B. Ning, Q. Zhu, X. Ye, H. Li, M. Song, and B. Hua, “ML-based delay–angle-joint path loss prediction for UAV mmWave channels,” Wireless Networks, pp. 1–13, Oct. 2021.
Chapter-3GPP TR 38.901
Q. Zhu, C. Wang, B. Hua, K. Mao, S. Jiang, and M. Yao, “3GPP TR 38.901Channel Model,” The Wiley 5G Ref: The Essential 5G Reference Online, Wiley Press, Jan. 26, 2021.
Sensors 2020
K. Mao, Q. Zhu, M. Song, B. Hua, W. Zhong, and X. Ye, “A Geometry-Based Beamforming Channel Model for UAV mmWave Communications,” Sensors, vol. 20, no. 23, pp. 6957–6973, Dec. 2020.
MLICOM 2020
K. Mao, Q. Zhu, M. Song, B. Ning, B. Hua, W. Zhong, and X. Chen, “A novel non-stationary channel model for UAV-to-vehicle mmWave beam communications,” in Proc. MLICOM’20, Shenzhen, China, Jan. 2021, pp. 471–484.
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