毛开科研主页

代表作

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 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.

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