代表性论文及著作
[1].Lai Zhou, Fengyu Luan, Shidong Zhou, Andreas F. Molisch and Fredrik Tufvesson, “Geometry-Based Stochastic Channel Model for High-Speed Railway Communications, ” IEEE Transactions on Vehicular Technology, vol. 68, no. 5, pp. 4353-4366, May 2019.
[2]. Xinxin Liu, Yunzhou Li, Limin Xiao, and Jing Wang，“Performance Analysis and Power Control for Multi-Antenna V2V Underlay Massive MIMO”, IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, VOL. 17, NO. 7, JULY 2018.
[3]. Lai Zhou , Zhi Yang , Fengyu Luan, Andreas F. Molisch, Fredrik Tufvesson, and Shidong Zhou, “Dynamic Channel Model with Overhead Line Poles for High-Speed Railway Communications”, IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS, VOL. 17, NO. 5, MAY 2018
[4]. Li H, Li Y, Zhou S and Wang J.，“Static CSI Extraction and Application in the Tomographic Channel Model，”China Communications, 2019.
[5]. Chenchen Fan, Xiaofeng Zhong, Jie Wei, “BS-to-ground Channel Reconstruction with 3D Obstacle Map Based on RSS Measurements”, IEEE Access, 2019.
专利
[P1] 王闻今、高西奇、樊浩、陈淑菁，“大规模MIMO‑OFDM上行链路迭代检测方法”，国家发明专利，申请日：2017.07.03，申请号：CN201710535091.2。
[P2] 高西奇、王闻今、陈淑菁、樊浩、尤力，“一种大规模MIMO系统多用户上行鲁棒检测方法”，国家发明专利，申请日：2017.06.30，申请号：CN201710535091.2。
[P3] 李潇、李朝松、王闻今、高西奇，“利用三维统计信道信息的异构网络干扰协调方法”，国家发明专利，申请日：2017.01.24，申请号：CN201710052439.2。
[P4] 高西奇、王闻今、是钧超、熊佳媛、洪姝，“一种机器学习辅助的大规模MIMO下行用户调度方法”，国家发明专利，申请号：201810757547.4
[P5] 高西奇、卢安安、仲文，“大规模MIMO鲁棒预编码传输方法”，国家发明专利/PCT国际专利，国内申请日：2017.08.31，PCT申请日：20171016，国内申请号：201710766951.3，PCT申请号：PCT/CN2017/106351