Lu Bai
Professor
Name (Simplified Chinese):Lu Bai
Name (English):Lu Bai
Name (Pinyin):Bai Lu
E-Mail:lubai@sdu.edu.cn
Date of Employment:2022-07-01
School/Department:软件学院、人工智能国际联合研究院
Education Level:Postgraduate (Postdoctoral)
Business Address:山东大学软件园校区三区
Gender:Female
Degree:Doctor
Whether on the job:1
Academic Honor:
Honors and Titles:
Research Direction：
v 6G wireless communication
v Channel measurement and modeling
v Artificial intelligence
Selective Publication：
X. Cheng, Z. Huang, and L. Bai, Channel Characterization and Modeling for Vehicular Communications, Springer, Cham, Switzerland, in preparation, 2022.
L. Bai, Z. Huang, T. Feng, and X. Cheng, “A non-stationary channel model for 6G multi-UAV cooperative communication,” IEEE Trans. Wireless Commun., accepted. (SCI, JCR Q1, IF: 8.436)
L. Bai, Z. Huang, L. Cui, and X. Cheng, “A non-stationary multi-UAV cooperative channel model for 6G massive MIMO mmWave communications,” IEEE Trans. Wireless Commun., Early Access, doi:10.1109/TWC.2023.3269203, 2023. (SCI, JCR Q1, IF: 8.436)
L. Bai, Z. Huang, and X. Cheng, “A non-stationary model with time-space consistency for 6G massive MIMO mmWave UAV channels,” IEEE Trans. Wireless Commun., vol. 22, no. 3, pp. 2048-2064, Mar. 2023. (SCI, JCR Q1, IF: 8.436)
L. Bai, Z. Huang, X. Zhang, and X. Cheng, “A non-stationary 3D model for 6G massive MIMO mmWave UAV channels,” IEEE Trans. Wireless Commun., vol. 21, no. 6, pp. 4325-4339, Nov. 2021. (SCI, JCR Q1, IF: 8.436)
L. Bai, Z. Huang, and X. Cheng, “A non-stationary 6G UAV channel model with 3D continuously arbitrary trajectory and self-rotation,” IEEE Trans. Wireless Commun., vol. 21, no. 12, pp. 10592-10606, Dec. 2022. (SCI, JCR Q1, IF: 8.436)
L. Bai, Q. Xu, Z. Huang, S. Wu, S. Ventouras, G. Goussetis, and X. Cheng, “An atmospheric data-driven Q-band satellite channel model with feature selection,” IEEE Trans. Antennas Propag., vol. 70, no. 6, pp. 4002-4013, Jun. 2022. (SCI, JCR Q1, IF: 4.824)
L. Bai, Z. Huang, L. Cui, T. Feng, and X. Cheng, “A mixed-bouncing based non-stationary model for 6G massive MIMO mmWave UAV channels,” IEEE Trans. Commun., vol. 70, no. 10, pp. 7055-7069, Oct. 2022. (SCI, JCR Q1, IF: 6.166)
L. Bai, Z. Huang, H. Du, and X. Cheng, “A 3-D non-stationary wideband V2V GBSM with UPAs for massive MIMO wireless communication systems,” IEEE Internet Things J., vol. 8, no. 24, pp. 17622-17638, Dec. 2021. (SCI, JCR Q1, IF: 10.238)
L. Bai, Z. Huang, Y. Li, and X. Cheng, “A 3D cluster-based channel model for 5G and beyond vehicle-to-vehicle massive MIMO channels,” IEEE Trans. Veh. Technol., vol. 70, no. 9, pp. 8401-8414, Sept. 2021. (SCI, JCR Q1, IF: 6.239)
L. Bai*, Q. Xu, S. Wu, S. Ventouras, and G. Goussetis, “A novel atmosphere-informed data-driven predictive channel modeling for B5G/6G satellite-terrestrial wireless communication systems at Q-band,” IEEE Trans. Veh. Technol., vol. 69, no. 12, pp. 14225-14237, Dec. 2020. (SCI, JCR Q1，IF: 6.239)
L. Bai, C.-X. Wang, G. Goussetis, Q. Xu, and S. Ventouras, “Prediction of channel excess attenuation for satellite communication systems at Q-band using artificial neural network,” IEEE Antennas and Wireless Propaga. Lett., vol. 18, no. 11, pp. 2235-2239, Nov. 2019. (SCI, JCR Q2, IF: 3.825)
L. Bai, C.-X. Wang, J. Huang, Q. Xu, Y. Yang, G. Goussetis, J. Sun and W. Zhang, “Predicting wireless mmWave massive MIMO channel characteristics using machine learning algorithms,” Wireless Communications and Mobile Computing, vol. 2018, Aug. 2018. (SCI, JCR Q3, IF: 2.146)
Z. Huang, L. Bai, X. Cheng, P. E. Mogensen, and X. Cai, “A non-stationary 6G V2V channel model with continuously arbitrary trajectory,”IEEE Trans. Veh. Technol., vol. 72, no. 1, pp. 4-19, Jan. 2023. (SCI, JCR Q1，IF: 6.239)
Z. Huang, L. Bai, M. Sun, and X. Cheng, “A 3D non-stationarity and consistency model for cooperative multi-vehicle channels,” IEEE Trans. Veh. Technol., Early Access, doi:10.1109/TVT.2023.3268664, 2023. (SCI，JCR Q1, IF: 6.239)
X. Cheng, Z. Huang, and L. Bai, “Channel non-stationarity and consistency for beyond 5G and 6G: A survey,” IEEE Communications Surveys & Tutorials, vol. 24, no. 3, pp. 1634-1669, third-quarter 2022. (SCI，JCR Q1, IF: 33.840)
J. Huang, C.-X. Wang, L. Bai, J. Sun, Y. Yang, J. Li, O. Tirkkonen, and M. Zhou, “A big data enabled channel model for 5G wireless communication systems,” IEEE Trans. Big Data, vol. 6, no. 2, pp. 211-222, Jun. 2020. (SCI, JCR Q1, IF: 4.271)
C.-X. Wang, S. Wu, L. Bai, X. You, J. Wang, and C.-L. I, “Recent advances and future challenges for massive MIMO channel measurements and models,” Sci. China Inf. Sci., vol. 59, no. 2, pp. 1–16, Feb. 2016. (SCI, JCR Q1, 中科院2区，IF: 7.275)
L. Bai, C.-X. Wang, S. Wu, H. Wang, and Y. Yang, “A wideband multi-confocal ellipsoid model for wireless MIMO communication channels,” in Proc. IEEE ICC’16, Malaysia, Jun. 2016. (EI)
L. Bai, C.-X. Wang, S. Wu, J. Sun, and W. Zhang, “A 3-D wideband multi-confocal ellipsoid model for wireless massive MIMO communication channels with uniform planar antenna array,” in Proc. IEEE VTC’17-Spring, Sydney, Australia, Jun. 2017. (EI)
L. Bai, C.-X. Wang, S. Wu, C. F. Lopez, X. Gao, W. Zhang, and Y. Liu, “Performance comparison of six massive MIMO channel models,” in Proc. IEEE/CIC ICCC’17, Invited Paper, Qingdao, China, Oct. 2017. (EI)
