張宇翔，特聘副研究員，中國通信學會天線與射頻技術委員會委員。2014年和2020年分别獲得大連理工大學學士學位和伟德betvictor体育官网博士學位；2018年9月到2019年9月加拿大滑鐵盧大學聯合培養博士；2020年12月到2023年7月伟德betvictor体育官网博士後；2023年被聘為伟德betvictor体育官网特聘副研究員。長期從事移動通信技術研究，目前主要研究方向包括面向6G的通感一體化、智能超表面、全息MIMO信道建模理論，基于AI的信道預測理論和MIMO OTA測試技術。在相關領域發表SCI/EI檢索論文40餘篇，其中包括一篇發表為China Communications封面文章；申請國内發明專利10項；主持1項國家自然科學基金青年項目和1項企業橫向項目，參與國家重點研發計劃、國家科技重大專項、國家自然科學基金重點項目等10餘個項目。被國際/國内标準化組織3GPP、ITU、IMT-2030等采納提案10餘篇。擔任IEEE ComSoc 信道研究MIMO子組副主席，國際SCI期刊Electronics客座編輯，多個國際重要期刊會議審稿人。獲2021年中國通信學會科學技術一等獎、2023年河南省教育廳科技成果一等獎。

主要研究方向

面向6G的通感一體化、智能超表面、全息MIMO信道建模理論，基于AI的信道預測理論和MIMO OTA測試技術。

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.