Capacity analysis of finite scatterer MIMO wireless channels. - Shangbin Wu; Cheng-Xiang Wang 001; Bo Ai 001; Yejun He (ICC, 2014)

A Non-Stationary 3-D Wideband Twin-Cluster Model for 5G Massive MIMO Channels. - Shangbin Wu; Cheng-Xiang Wang 001; Hadi M. Aggoune; Mohammed M. Alwakeel; Yejun He (IEEE J. Sel. Areas Commun., 2014)

A novel Kronecker-based stochastic model for massive MIMO channels. - Shangbin Wu; Cheng-Xiang Wang 001; El-Hadi M. Aggoune; Mohammed M. Alwakeel (ICCC, 2015)

A novel method for ergodic sum rate analysis of spatial modulation systems with maximum likelihood receiver. - Shangbin Wu; Piya Patcharamaneepakorn; Cheng-Xiang Wang 001; El-Hadi M. Aggoune; Mohammed M. Alwakeel; Yejun He (IWCMC, 2015)

A Non-Stationary Wideband Channel Model for Massive MIMO Communication Systems. - Shangbin Wu; Cheng-Xiang Wang 001; Harald Haas; El-Hadi M. Aggoune; Mohammed M. Alwakeel; Bo Ai 001 (IEEE Trans. Wirel. Commun., 2015)

Frequency and quadrature amplitude modulation for 5G networks. - Shangbin Wu; Yue Wang 008; Mohammed Al-Imari; Maziar M. Nekovee (EuCNC, 2016)

Intra-Cluster Characteristics of 28 GHz Wireless Channel in Urban Micro Street Canyon. - Shangbin Wu; Sooyoung Hur; Kuyeon Whang; Maziar M. Nekovee (GLOBECOM, 2016)

A 3-D wideband multi-confocal ellipsoid model for wireless MIMO communication channels. - Lu Bai 004; Cheng-Xiang Wang 001; Shangbin Wu; Haowen Wang; Yang Yang 001 (ICC, 2016)

Performance comparison of massive MIMO channel models. - Shangbin Wu; Cheng-Xiang Wang 001; Yang Yang 001; Wenjin Wang 001; Xiqi Gao 001 (ICCC, 2016)

Energy efficiency and area spectral efficiency tradeoff for coexisting wireless body sensor networks. - Ruixia Liu; Yinglong Wang 001; Shangbin Wu; Cheng-Xiang Wang 001; Wensheng Zhang 004 (Sci. China Inf. Sci., 2016)

Recent advances and future challenges for massive MIMO channel measurements and models. - Cheng-Xiang Wang 001; Shangbin Wu; Lu Bai 004; Xiaohu You 001; Jing Wang; Chih-Lin I (Sci. China Inf. Sci., 2016)

Overview of 5G modulation and waveforms candidates. - Maziar M. Nekovee; Yue Wang 008; Milos Tesanovic; Shangbin Wu; Yinan Qi; Mohammed Al-Imari (J. Commun. Inf. Networks, 2016)

Spectral, Energy, and Economic Efficiency of 5G Multicell Massive MIMO Systems With Generalized Spatial Modulation. - Piya Patcharamaneepakorn; Shangbin Wu; Cheng-Xiang Wang 001; El-Hadi M. Aggoune; Mohammed M. Alwakeel; Xiaohu Ge; Marco Di Renzo (IEEE Trans. Veh. Technol., 2016)

Performance comparison of six massive MIMO channel models. - Lu Bai 004; Cheng-Xiang Wang 001; Shangbin Wu; Carlos F. López; Xiqi Gao 001; Wensheng Zhang 004; Yu Liu 020 (ICCC, 2017)

Lost Silence: an Emergency Response Early Detection Service through Continuous Processing of Telecommunication Data Streams. - Qianru Zhou; Stephen McLaughlin 001; Alasdair J. G. Gray; Shangbin Wu; Chengxiang Wang 001 (WSP/WOMoCoE@ISWC, 2017)

A 3-D Wideband Multi-Confocal Ellipsoid Model for Wireless Massive MIMO Communication Channels with Uniform Planar Antenna Array. - Lu Bai 004; Cheng-Xiang Wang 001; Shangbin Wu; Jian Sun 013; Wensheng Zhang 004 (VTC Spring, 2017)

An Explicit Ground Reflection Model for mm-Wave Channels. - Stephan Jaeckel; Leszek Raschkowski; Shangbin Wu; Lars Thiele; Wilhelm Keusgen (WCNC Workshops, 2017)

Uplink pilot power control with genetic algorithm for massive MIMO networks. - Xiaoqing Zhang 002; Ju Liu; Shangbin Wu; Chao Zhai 001; Shanshan Yu (WCSP, 2017)

Single-cell and multi-cell performance analysis of OFDM index modulation. - Shangbin Wu; Maziar M. Nekovee (IET Commun., 2017)

Centralized and Distributed Schedulers for Non-Coherent Joint Transmission. - Shangbin Wu; Yinan Qi (GLOBECOM Workshops, 2018)

Microwave vs. Millimeter-Wave Propagation Channels: Key Differences and Impact on 5G Cellular Systems. - Mansoor Shafi; Jianhua Zhang 001; Harsh Tataria; Andreas F. Molisch; Shu Sun; Theodore S. Rappaport; Fredrik Tufvesson; Shangbin Wu; Koshiro Kitao (IEEE Commun. Mag., 2018)

Channel Models and Measurements for 5G. - Jianhua Zhang 001; Mansoor Shafi; Andreas F. Molisch; Fredrik Tufvesson; Shangbin Wu; Koshiro Kitao (IEEE Commun. Mag., 2018)

Genetic Algorithm Assisted Hybrid Beamforming for Wireless Fronthaul. - Shangbin Wu (CoRR, 2018)

A General 3-D Non-Stationary 5G Wireless Channel Model. - Shangbin Wu; Cheng-Xiang Wang 001; El-Hadi M. Aggoune; Mohammed M. Alwakeel; Xiaohu You 001 (IEEE Trans. Commun., 2018)

Probabilistic Preamble Selection with Reinforcement Learning for Massive Machine Type Communication (MTC) Devices. - Galini Tsoukaneri; Shangbin Wu; Yue Wang 008 (PIMRC, 2019)

A Low-Complexity Antenna-La-Aware Spatial Covariance Matrix Estimation Method. - Shangbin Wu; Xiaoqing Zhang 002 (WCNC Workshops, 2019)

Channel Modeling for Satellite Communication Channels at Q-Band in High Latitude. - Lu Bai 004; Cheng-Xiang Wang 001; George Goussetis; Shangbin Wu; Qiuming Zhu; Wenqi Zhou; El-Hadi M. Aggoune (IEEE Access, 2019)

A Low-Complexity Antenna-Layout-Aware Spatial Covariance Matrix Estimation Method. - Shangbin Wu; Xiaoqing Zhang (CoRR, 2019)

Spectral efficiency of massive MIMO networks with pilot contamination and channel covariance matrix estimation. - Xiaoqing Zhang 002; Shangbin Wu; Shanshan Yu; Ju Liu (IET Commun., 2019)

Achievable Rate Analysis of the Generalized Spatial Modulation Uplink in Multi-Cell Multi-User Systems in the Face of Pilot Contamination. - Xiaoqing Zhang 002; Shangbin Wu; Shanshan Yu; Ju Liu; Lajos Hanzo (IEEE Trans. Veh. Technol., 2019)

Indoor 3D localization in emergency scenarios through drone based rapid 5G deployment. - Mythri Hunukumbure; Oluwatayo Y. Kolawole; Shangbin Wu; Yinan Qi (GLOBECOM (Workshops), 2020)

Q-Learning based Link Adaptation in 5G. - Shangbin Wu; Galini Tsoukaneri; Belkacem Mouhouche (PIMRC, 2020)

Deep Convolutional Neural Network Assisted Reinforcement Learning Based Mobile Network Power Saving. - Shangbin Wu; Yue Wang 008; Lu Bai 004 (IEEE Access, 2020)

A Novel Atmosphere-Informed Data-Driven Predictive Channel Modeling for B5G/6G Satellite-Terrestrial Wireless Communication Systems at Q-Band. - Lu Bai 004; Qian Xu 016; Shangbin Wu; Spiros Ventouras; George Goussetis (IEEE Trans. Veh. Technol., 2020)

Predicting the spread of COVID-19 in China with human mobility data. - Shangbin Wu; Xiaoliang Fan; Longbiao Chen; Ming Cheng 002; Cheng Wang 003 (SIGSPATIAL/GIS, 2021)

Deep Reinforcement Learning for cell on/off energy saving on Wireless Networks. - Joan S. Pujol-Roigl; Shangbin Wu; Yue Wang 008; Minsuk Choi; Intaik Park (GLOBECOM, 2021)

Intelligent Mobile Handover Prediction for Zero Downtime Edge Application Mobility. - Navdeep Uniyal; Anderson Bravalheri; Xenofon Vasilakos; Reza Nejabati; Dimitra Simeonidou; Walter Featherstone; Shangbin Wu; Daniel Warren (GLOBECOM, 2021)

Machine learning based signal strength and uncertainty prediction for MEC mobility management. - Shangbin Wu; Junwei Ren; Tiezhu Zhao; Yue Wang 008 (VTC Fall, 2021)

Multi-Graph Fusion Networks for Urban Region Embedding. - Shangbin Wu; Xu Yan; Xiaoliang Fan; Shirui Pan; Shichao Zhu; Chuanpan Zheng; Ming Cheng 002; Cheng Wang 003 (IJCAI, 2022)

2D3D-MVPNet: Learning cross-domain feature descriptors for 2D-3D matching based on multi-view projections of point clouds. - Baiqi Lai; Weiquan Liu; Cheng Wang 003; Xiaoliang Fan; Yangbin Lin; Xuesheng Bian; Shangbin Wu; Ming Cheng 002; Jonathan Li 001 (Appl. Intell., 2022)

FedAVE: Adaptive data value evaluation framework for collaborative fairness in federated learning. - Zihui Wang; Zhaopeng Peng; Xiaoliang Fan; Zheng Wang 076; Shangbin Wu; Rongshan Yu; Peizhen Yang; Chuanpan Zheng; Cheng Wang 003 (Neurocomputing, 2024)