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l L. Bai, C.-X. Wang, G. Goussetis, S. Wu, and Q. Zhu, ¡°Channel modeling for satellite communication channel at Q-band in high latitude,¡± IEEE Access, vol. 7, pp. 137691-137703, Sept. 2019.
l 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 artifificial neural network,¡± IEEE Antennas and Wireless Propaga. Lett., vol. 18, no. 11, pp. 2235-2239, Nov. 2019.
l 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.
l 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.
l 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.
l 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.
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l Å·ÃËÀíÊ»ᣬ¹ú¼ÊÏîÄ¿£¬EPSRC EP/P025129/1£¬Optimising resources in future heterogeneous mm-wave communication systems£¬2017-08ÖÁ2019-07£¬£650K£¬ÒѽáÌ⣬²Î¼Ó
l Å·ÃËÀíÊ»ᣬ¹ú¼ÊÏîÄ¿£¬H2020-Space-2016 Grant Agreement No. 730104£¬Q/V-band earth segment link for future high throughput space systems (QV-LIFT)£¬2016-11ÖÁ2019-04£¬€3.5M£¬ÒѽáÌ⣬²Î¼Ó
l ÖлªÈËÃñ¹²ºÍ¹ú¿Æѧ¼¼Êõ²¿£¬¹ú¼Ò863¼Æ»®×Ó¿ÎÌ⣬2014AA01A707£¬5GÎÞÏßÒƶ¯Í¨ÐÅÍøÂçÊÒÄÚÐŵÀ²âÁ¿¡¢²ÎÊýÌáÈ¡ºÍÈí¼þÄ£¿é±àд£¬2014-07ÖÁ2016-12£¬19.2ÍòÔª£¬ÒѽáÌ⣬²Î¼Ó
l ÖлªÈËÃñ¹²ºÍ¹ú¿Æѧ¼¼Êõ²¿£¬¹ú¼Ò863¼Æ»®×Ó¿ÎÌ⣬2014AA01A701£¬5GÎÞÏßÃܼ¯ÍøÂç¼Ü¹¹Óë¹Ø¼ü¼¼ÊõÑз¢£¬2014-01ÖÁ2016-12£¬30ÍòÔª£¬ÒѽáÌ⣬²Î¼Ó
l ¹ú¼Ò×ÔÈ»¿Æѧ»ù½ðί£¬ÖØ´ó¹ú¼ÊºÏ×÷ÏîÄ¿Ð×÷ÏîÄ¿£¬11**1£¬ÎÞÏßÐŵÀ½¨Ä£Óë·ÂÕæÈí¼þÉè¼Æ£¬2013-10ÖÁ2017-12£¬10ÍòÔª£¬ÒѽáÌ⣬²Î¼Ó
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IET Communications, IEEE Communications Letters, IEEE Communications Magazine, IEEE Access, IEEE GLOBECOM, IEEE WCNC, IEEE|CIC ICCCÉó¸åÈË
Curriculum Vitae (CV)
Dr. Lu Bai received the B.Sc. degree in Electronic Information Engineering from Qufu Normal University, China, in 2014, and the Ph.D. degree in Information and Communication Engineering from Shandong University, China, in 2019. From 2017 to 2019, she was also a visiting Ph.D. student at Heriot-Watt University, UK. Now, she is a research fellow at Beihang University, China. Her research interests is (B)5G wireless communication channel measurements and modeling, including massive MIMO channel measurements and modeling, satellite-terrestrial integrated communication channel modeling, and machine learning based channel modeling.
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