|Xiliang Luo, Associate Professor|
Tel: (021) 60213024
Research Areas: Wireless Communications, Signal Processing, Machine Learning
Current Topics: Edge Computing, Fog Computing, Smart Traffic Control, AI for Mobile Networks, Behavior Recognition with Wireless Signals, Graph Signal Processing, Distributed Machine Learning
Xiliang Luo received his Bachelor of Science degree in Physics from the Peking University, Beijing, China, in 2001, and his Master of Science and Doctor of Philosophy degrees in Electrical Engineering from the University of Minnesota at Minneapolis in 2003 and 2006, respectively. Upon graduation, he joined Qualcomm and worked on the developments and standardization of the LTE technologies. In addition to more than 100 technical contributions to the 3GPP, he led the designs of Qualcomm’s next generation LTE modem for heterogeneous networks from initial concept to final completion. He joined ShanghaiTech in 2014 and has been focusing on the innovations in data and information processing. His current research interests lie in wireless communications, edge and fog computing, and smart traffic control, on which he has published more than 80 research papers in top journals and conferences and has been awarded more than 70 US patents. In 2017, he received the Excellent Paper Award from the ICUFN. He served as a track chair or a TPC member in numerous international conferences. He is currently serving as a co-director of the Shanghai Institute of Fog-computing Technology (SHIFT) and a member of the 5th Youth Committee of the China Institute of Communications (CIC).
1.N. Chen, Y. Yang, T. Zhang, M. Zhou, X. Luoand J. K. Zao, Fog as a Service Technology, in IEEE Communications Magazine, vol. 56, no. 11, pp. 95-101, November 2018.
2.Y. Yang, S. Zhao, W. Zhang, Y. Chen, X. Luoand J. Wang, DEBTS: Delay Energy Balanced Task Scheduling in Homogeneous Fog Networks, in IEEE Internet of Things Journal, vol. 5, no. 3, pp. 2094-2106, June 2018.
3.Y. Yang, K. Wang, G. Zhang, X. Chen, X. Luoand M. Zhou, MEETS: Maximal Energy Efficient Task Scheduling in Homogeneous Fog Networks, in IEEE Internet of Things Journal, vol. 5, no. 5, pp. 4076-4087, Oct. 2018.
4.Zhu, H., Yang, F., Zhu, Z., and Luo, X. (2018, May). Optimal interconnection for massive MIMO self-calibration. In 2018 IEEE International Conference on Communications (ICC) (pp. 1-6). IEEE.
5.1. X. Luo, P. Cai, X. Zhang, D. Hu, and C. Shen, A Scalable Framework for CSI Feedback in FDD Massive MIMO via DL Path Aligning,, IEEE Transactions on Signal Processing, vol. 65, no. 18, pp. 4702-4717, Sep. 2017.
6.S. Yao, X. Zhang, H. Qian, and X. Luo, Joint Dimming and Data Transmission Optimization for Multi-User Visible Light Communication System, IEEE Access, vol. 5, pp. 5455-5462, May 2017.
7.H. Qian, X. Cheng, X. Luo, and W. Feng, Calibration of Nonlinear Crosstalk in MIMO Transmitter, IEEE Transactions on Vehicular Technology, vol. 66, no. 5, pp. 3739-3748, May 2017.
8.X. Luo, Delay-Oriented QoS-Aware User Association and Resource Allocation in Heterogeneous Cellular Networks, IEEE Transactions on Wireless Communications, vol. 16, no. 3, pp. 1809-1822, Mar. 2017.
9.X. Luo and X. Zhang, Flexible Pilot Contamination Mitigation with Doppler PSD Alignment, IEEE Signal Processing Letters, vol. 23, no. 10, pp. 1449-1453, Oct. 2016.
10.X. Luo, Multi-User Massive MIMO Performance with Calibration Errors, IEEE Transactions on Wireless Communications, vol. 15, no. 7, pp. 4521-4534, Jul. 2016.
11.A. Gorokhov, A. Farajidana, K. Bhattad, and X. Luo, Multiple Antenna Techniques for LTE-Advanced, in book: LTE - The UMTS Long Term Evolution: from Theory to Practice, John Wiley & Sons, 2011.