基本信息
毕业院校：东南大学移动通信国家重点实验室
通讯地址：江苏省南京市宁六路219号
电子邮箱：liuting@nuist.edu.cn
教育背景
2014-2019，移动通信国家重点实验室，东南大学，中国，导师：尤肖虎教授，金石教授
2017-2018，电子工程学院，纽约哥伦比亚大学，美国，导师：Prof. Xiaodong Wang
2007-2014，电子与信息工程学院，南京信息工程大学，中国，导师：周杰教授
工作经历
2020-至今，人工智能学院（未来技术学院），南京信息工程大学，中国
研究方向
ü超大规模物联网传输技术
ü通信雷达感知一体化
ü无线网络数字孪生
üAI与5G-A/6G通信
ü空天地海一体化技术
对6G移动通信、卫星/低空/近海通信、物联网技术、AI、机器视觉、数字孪生等感兴趣的同学， 欢迎报考！
教学工作
本科生课程：
ü信息论
ü计算机网络
ü操作系统
üSoftware Engineering
üInformation Theory/Digital Communications
教学成果：
国家级授课竞赛二等奖一项
主持和参与项目
üXXX组网关键技术研究
üXXX实物仿真系统研制
üXXX数字孪生系统研制
üXXX环境下通信技术研制
üXXX仿真系统研制
ü国家自然科学基金委员会，青年科学基金项目
ü江苏省科技厅，江苏省自然科学基金青年基金项目
ü江苏省双创博士人才计划资助项目
ü东南大学，移动通信国家重点实验室开放研究基金课题项目
ü教育部，产学合作协同育人项目
ü国家863计划，5G大规模协作无线传输关键技术研发
发表论文
üTing Liu, Xi Yang, Hao Jiang, Xiaoming Wang, Zhaohui Yang, “The UAV-aided sparse estimation and detection in the massive IoT
system,” IEEE Transactions on Wireless Communications, 2025.
üChenxi Zhang, Xiaoming Wang, Xinping Yi, Ting Liu, Junhui Zhao, Youyun Xu, “Enabling near-field wideband beam focusing in
ELAA systems with uniform planar arrays,” IEEE Transactions on Communications, 2025.
üDahong Du, Xi Yang, Ting Liu, Qing Xue, “Channel Recovery for Asymmetrical Uplink and Downlink Transceivers in Massive MIMO
Systems with UPAs,” IEEE VTC, 2025.
üChenxi Zhang, Xiaoming Wang, Rui Jiang, Ting Liu, Youyun Xu, “Wideband beamforming in near-field uniform planar array systems
under TTD constraints,” IEEE WCSP 2024.
ü刘婷，王媛，辛元雪，“RIS辅助的大规模机器类通信深度学习大规模MIMO信道估计,” 电子与信息学报，2024.
üTing Liu, Hao Jiang, Xiaoming Wang, Xi Yang, and Zhen Chen, “Bayesian Estimator and Detector for Massive Communication with
Ultra Massive MIMO,” IEEE Transactions on Wireless Communications, 2024.
ü王小明，李佳琪，刘婷，蒋锐，徐友云，“大规模STAR-RIS辅助的近场ISAC传输方法,” 电子与信息学报，2024.
üHaoJiang, Hongming Zhang, and Ting Liu, “Novel Sum-of-Sinusoids Simulation Channel Modeling for 6G Multiple-Input Multiple-
Output Vehicle-to-Everything Communications”, China Communications, 2024.
üTing Liu, Xi Yang, Hao Jiang, Hongming Zhang, and Zhen Chen, “Reconfigurable intelligent surface enhanced massive connectivity
with massive MIMO,” IEEE Transactions on Communications, 2023.
üTing Liu, Hao Jiang, Zhaohui Yang, and Zhen Chen, “Reconfigurable intelligent surface enhanced massive IoT systems with nonlinear
measurements,” IEEE Wireless Communications Letters, 2023.
üTing Liu, Hao Jiang, Zhen Chen, Hongming Zhang, Xi Yang, and Feng Shu, “Nonlinear channel estimation and signal detection for
quantized OFDM system,” IEEE Communications Letters, 2023.
üTing Liu, Hao Jiang, Xi Yang, and Zhaohui Yang, “Channel estimation and device detection for reconfigurable intelligent surface aided
massive IoT networks with mixed-ADCs,” IEEE Communications Letters, 2023.
üXiaoming Wang, Dongcai Zhang, Bingcen Chen, Ting Liu, Yuanxue Xin, and Youyun Xu, “Deep Transfer Learning for Model-Driven
Signal Detection in MIMO-NOMA Systems,” IEEE Transactions on Vehicular Technology, 2023.
üXi Yang, Fuqiang Zhu, Binggui Zhou, Ting Liu, and Shaodan Ma, “Gridless Hybrid-Field Channel Estimation for Extra-Large Aperture
Array Massive MIMO Systems,” IEEE Wireless Communications Letters, 2023.
üXiaoming Wang, Gaoxiang Sun, Ting Liu, and Youyun Xu, “Deep Transfer Reinforcement Learning for Beamforming and Resource
Allocation in Multi-Cell MISO-OFDMA Systems,” IEEE Transactions on Signal and Information Processing over Networks, 2022.
üJunxian Chen, Weiqiang Tan, Ting Liu, Shidang Li, Yunfei Li, and Meng Zhou, “Spectral efficiency for IRS-assisted uplink mmWave
massive MISO systems with low-resolution ADCs”, Physical Communication, 2022.
üJie Zhou, Zhikang Lv, Sujie Wu, Hong Luo, Ting Liu, Genfu Shao, Shigenobu Sasaaki, and Hao Jiang, “A Geometry-Based Stochastic
Scattering Channel Model for V2V Communications in Dense Urban Street Environments”, China Communications, 2022.
üYuanxue Xin, Xuan Yang, Runkang Zhou, Ting Liu, “Coverage Probability Analysis in Multi-cell Multi-user System with Random
Number of Users”, IEEE ISNCC, 2022.
üYuanyuan Lan, Xiaoming Wang, Rui Jiang, Dapeng Li, Ting Liu, and Youyun Xu, “Joint Data and Model Driven Channel-Free Signal
Detection Based Learned Factor Graph”, IEEE PIMRC, 2022.
üDongcai Zhang, Xiaoming Wang, Yuanxue Xin, Ting Liu, Youyun Xu, “Deep Transfer Learning for Model-Driven Signal Detection in
Downlink MIMO-NOMA Systems”, IEEE PIMRC, 2022.
üHaotong Cao, Xiaoming Wang, Rui Jiang, Ting Liu, Lei Xue, and Daniel Xiapu Luo,“Resource Allocation of E2E Slices in Softwarized
UAVs-Assisted 6G Terrestrial Networks”, WCSP, 2022.
üTing Liu, Shi Jin, Chao-Kai Wen, Michail Matthaiou, and Xiaohu You, “Generalized channel estimation and user detection for massive
connectivity with mixed-ADC Massive MIMO,” IEEE Transactions on Wireless Communications, 2019.
üTing Liu, Shi Jin, Chao-Kai Wen, and Xiaohu You, “OFDM-clipped signal recovery and learning using Gaussian mixture GTurbo
approach,” IEEE Wireless Communications Letters, 2019.
üTing Liu, Luyao Ni, Shi Jin, and Xiaohu You, “Angular domain precoding-based PAPR reduction for massive MIMO systems,” Science
China Information Sciences, 2019.
üTing Liu, Luyao Ni, Shi Jin, and Xiaohu You, “Angular domain PAPR reduction for massive multi-user MIMO-OFDM downlink,” IEEE/
CIC International Conference on Communications in China, 2018.
üJunhui Qian, Zishu He, Ting Liu, and Nuo Huang, “Robust beamforming based on steering vector and covariance matrix estimation,”
Circuits Systems & Signal Processing, 2018.
üTing Liu, Chao-kai Wen, Shi Jin, and Xiaohu You, “Generalized turbo signal recovery for nonlinear measurements and orthogonal sensing
matrices,” IEEE International Symposium on Information Theory, 2016.
üHanqing Wang, Ting Liu, Chao-kai Wen, Shi Jin, “Optimal data detection for OFDM systems with low-resolution Quantization,” IEEE
International conference on communication systems (ICCS), Shenzhen, China, 2016.
ü刘婷，周杰，邵根富，“空间稀疏角域以及多普勒域下的DOA估计,” 工程科学学报，2015.
ü刘婷，周杰，菊池久和，“基于ISL0算法的码间干扰稀疏多径信道估计,” 通信学报，2014.
üTing Liu, Jie Zhou, “Improved smoothed L0 reconstruction algorithm for ISI sparse channel estimation”, The Journal of China
Universities of Posts and Telecommunications”, 2014.
üTing Liu, Jie Zhou, and Hisakazu Kikuchi, "Partial sparse channel estimation based on optimal SL0 algorithm", IETE Journal of Research,
2013.
科技成果
ü一种RIS辅助的大规模MIMO深度学习方法，202411367362.4；
ü一种超大规模MIMO 通信信道估计方法，202410592101.6；
ü一种卫星拒止场景下基于RFID标签阵列的巡检机器人定位方法，2024103321116；
ü图书管理大数据运维系统V1.0，2021SR0109626；
ü一种降低ADMA系统信号峰均功率比的预编码方法，ZL201810489413.9；
ü空间多普勒域中的稀疏DOA估计算法，CN104320205B；
ü基于BSL0的局部聚类稀疏信道估计方法，ZL201410564367.6；
ü基于智能手机参与感知的气象信息服务系统及其实现方法，ZL201310267533.1。
社会兼职
ü担任国际期刊IEEE TCOM/TWC等审稿人。
ü担任国际会议IoTCIT 2024 Workshop Chair。
奖励情况
ü2022年，WCSP最佳论文奖；
ü2016年，2014年，“华为杯”全国研究生数学建模竞赛奖；
ü2015年，江苏省优秀硕士学位论文奖。
