张宇翔，特聘副研究员，中国通信学会天线与射频技术委员会委员。2014年和2020年分别获得大连理工大学学士学位和北京邮电大学博士学位；2018年9月到2019年9月加拿大滑铁卢大学联合培养博士；2020年12月到2023年7月北京邮电大学博士后；2023年被聘为北京邮电大学特聘副研究员。长期从事移动通信技术研究，目前主要研究方向包括面向6G的通感一体化、智能超表面、全息MIMO信道建模理论，基于AI的信道预测理论和MIMO OTA测试技术。在相关领域发表SCI/EI检索论文40余篇，其中包括一篇发表为China Communications封面文章；申请国内发明专利10项；主持1项国家自然科学基金青年项目和1项企业横向项目，参与国家重点研发计划、国家科技重大专项、国家自然科学基金重点项目等10余个项目。被国际/国内标准化组织3GPP、ITU、IMT-2030等采纳提案10余篇。担任IEEE ComSoc 信道研究MIMO子组副主席，国际SCI期刊Electronics客座编辑，多个国际重要期刊会议审稿人。获2021年中国通信学会科学技术一等奖、2023年河南省教育厅科技成果一等奖。

主要研究方向

面向6G的通感一体化、智能超表面、全息MIMO信道建模理论，基于AI的信道预测理论和MIMO OTA测试技术。

代表性成果

[1] Y. Zhang, J. Zhang, J. Zhang, G. Liu, Y. Zhang, and Y. Yao, “A theoretical analysis of favorable propagation on massive MIMO channels with generalized angle distributions,” Electronics, vol. 11, no. 14, pp. 2150, 2022.

[2] Z. Zhang, J. Zhang, Y. Zhang^*, L. Yu, F. Gao, Q. Shi, G. Liu, Z. Yuan, and W. Fan, “Deep Reinforcement Learning Based Dynamic Beam Selection in Dual-Band Communication Systems,” To be published in IEEE Transactions on Wireless Communications, 2023.

[3] Y. Zhang, J. Zhang, Y. Kang, M. Zhao, P. Qi, Z. Zhang, P. Tang, Z. Zhong, G. Liu, and Y. Yao, “A laboratorial testing scheme for 5G system: channel model principle and field experiment validation,” To be published in China Communications.

[4] Y. Zhang, Z. Yuan, L. Tian, and J. Zhang, “A Novel Random Sampling Method for Spatial and Temporal Channel Emulation,” IEEE Wireless Communication Letters, vol. 8, no. 5, pp. 1381-1385, 2019.

[5] J. Zhang, Y. Zhang, Y. Yu, R. Xu, Q. Zheng, and P. Zhang, “3-D MIMO: How Much Does It Meet Our Expectations Observed from Channel Measurements?” IEEE Journal on Selected Areas in Communications, vol. 35, no.8, pp. 1887-1903, 2017.

[6] Y. Sun, J. Zhang, Y. Zhang^*, L. Yu, Q. Wang, and G. Liu, “Environment information-based channel prediction method assisted by graph neural network,”China Communications, vol. 19, no.11, pp. 1-13, 2022.

[7] J. Zhang, Z. Zheng, Y. Zhang, J. Xi, X. Zhao, and G. Gui, “3D MIMO for 5G NR: Several Observations from 32 to Massive 256 Antennas Based on Channel Measurement,” IEEE Communications Magazine, vol. 56, no. 3, pp. 62-70, 2018.

[8] G. Nie, J. Zhang, Y. Zhang, L. Yu, Z. Zhang, Y. Sun, L. Tian, Q. Wang, and L. Xia, “A predictive 6G network with environment sensing enhancement: From radio wave propagation perspective,” China Communications, vol.19, no.6, pp. 105-122, 2022. (封面文章)

[9] L. Yu, J. Zhang, Y. Zhang, X. Li, and G. Liu, “Long-range blockage prediction based on diffraction fringe characteristics for mmWave communications,” IEEE Communications Letters, vol. 26, no. 7, pp. 1683-1687, 2022.

[10] Y. Sun, J. Zhang, Y. Zhang, L. Yu, Z. Yuan, G. Liu, and Q. Wang, “Environment features-based model for path loss prediction,” IEEE Wireless Communications Letters, vol. 11, no. 9, pp. 2010-2014, 2022.