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Low-Overhead Channel Estimation via 3D Extrapolation for TDD mmWave Massive MIMO Systems under High-Mobility Scenarios Journal article
Zhou, Binggui, Yang, Xi, Ma, Shaodan, Gao, Feifei, Yang, Guanghua. Low-Overhead Channel Estimation via 3D Extrapolation for TDD mmWave Massive MIMO Systems under High-Mobility Scenarios[J]. IEEE Transactions on Wireless Communications, 2025.
Authors:  Zhou, Binggui;  Yang, Xi;  Ma, Shaodan;  Gao, Feifei;  Yang, Guanghua
Favorite | TC[Scopus]:0  IF:8.9/8.6 | Submit date：2025/01/22
Channel Extrapolation  High-mobility Scenarios  Massive Mimo  Millimeter Wave  Three-domain  
SCANet: A lightweight deep learning network for massive MIMO CSI feedback based on spatial and channel attention mechanism Journal article
Chen, Huaqiang, Tan, Weiqiang, Guo, Jiajia, Yang, Feiran. SCANet: A lightweight deep learning network for massive MIMO CSI feedback based on spatial and channel attention mechanism[J]. Physical Communication, 2024, 67, 102516.
Authors:  Chen, Huaqiang;  Tan, Weiqiang;  Guo, Jiajia;  Yang, Feiran
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:2.0/1.7 | Submit date：2024/11/05
Massive Mimo  Csi Feedback  Deep Learning  Neural Network  Attention Mechanism  
High-Efficient Near-Field Channel Characteristics Analysis for Large-Scale MIMO Communication Systems Journal article
Jiang, Hao, Shi, Wangqi, Chen, Xiao, Zhu, Qiuming, Chen, Zhen. High-Efficient Near-Field Channel Characteristics Analysis for Large-Scale MIMO Communication Systems[J]. IEEE Internet of Things Journal, 2024.
Authors:  Jiang, Hao;  Shi, Wangqi;  Chen, Xiao;  Zhu, Qiuming;  Chen, Zhen
Favorite | TC[Scopus]:2  IF:8.2/9.0 | Submit date：2024/12/26
Near-field Communication  Subarray Decomposition  Large-scale Mimo  Channel Modeling Complexity  
A Low-Overhead Incorporation-Extrapolation based Few-Shot CSI Feedback Framework for Massive MIMO Systems Journal article
Zhou, Binggui, Yang, Xi, Wang, Jintao, Ma, Shaodan, Gao, Feifei, Yang, Guanghua. A Low-Overhead Incorporation-Extrapolation based Few-Shot CSI Feedback Framework for Massive MIMO Systems[J]. IEEE Transactions on Wireless Communications, 2024, 23(10), 14743-14758.
Authors:  Zhou, Binggui;  Yang, Xi;  Wang, Jintao;  Ma, Shaodan;  Gao, Feifei; et al.
Favorite | TC[WOS]:0 TC[Scopus]:2  IF:8.9/8.6 | Submit date：2024/08/05
Massive Mimo  Csi Feedback  Few-shot Learning  Domain Knowledge  Aigc  
Deep Joint Source-Channel Coding for Adaptive Image Transmission over MIMO Channels Journal article
Wu Haotian, Shao Yulin, Bian Chenghong, Mikolajczyk Krystian, Gunduz Deniz. Deep Joint Source-Channel Coding for Adaptive Image Transmission over MIMO Channels[J]. IEEE Transactions on Wireless Communications, 2024, 23(10), 15002-15017.
Authors:  Wu Haotian;  Shao Yulin;  Bian Chenghong;  Mikolajczyk Krystian;  Gunduz Deniz
Favorite | TC[WOS]:3 TC[Scopus]:8  IF:8.9/8.6 | Submit date：2024/08/05
Attention Mechanism  Image Transmission  Joint Source-channel Coding  Mimo  Semantic Communication  
YOLO: An Efficient Integrated Sensing and Communications Scheme with Beam Squint in Clutter Environment Conference paper
Luo, Hongliang, Gaol, Feifei, Lin, Hai, Ma, Shaodan, Poor, H. Vincent. YOLO: An Efficient Integrated Sensing and Communications Scheme with Beam Squint in Clutter Environment[C]:Institute of Electrical and Electronics Engineers Inc., 2024.
Authors:  Luo, Hongliang;  Gaol, Feifei;  Lin, Hai;  Ma, Shaodan;  Poor, H. Vincent
Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date：2024/08/05
Beam Squint  Dynamic Targets Sensing  Integrated Sensing And Communications  Massive Mimo  Yolo  Phased Arrays  Array Signal Processing  Ofdm  Simulation  Heuristic Algorithms  Symbols  
Vision-aided Multi-user Beam Tracking for mmWave Massive MIMO System: Prototyping and Experimental Results Conference paper
Li, Kehui, Zhou, Binggui, Guo, Jiajia, Yang, Xi, Xue, Qing, Gao, Feifei, Ma, Shaodan. Vision-aided Multi-user Beam Tracking for mmWave Massive MIMO System: Prototyping and Experimental Results[C]:Institute of Electrical and Electronics Engineers Inc., 2024, 202915.
Authors:  Li, Kehui;  Zhou, Binggui;  Guo, Jiajia;  Yang, Xi;  Xue, Qing; et al.
Favorite | TC[Scopus]:0 | Submit date：2024/11/05
Beam Tracking  Computer Vision  Deep Learning  Massive Mimo  Prototype System  Training  Visualization  Vehicular And Wireless Technologies  Accuracy  Prototypes  Massive Mimo  
Joint Optimal Design for Hybrid RIS and DMA Assisted MIMO Interfering Broadcast Channel Journal article
Huang, Xiaojun, Xu, Kaizhe, Han, Yu, Zhang, Jun, Jin, Shi, Ma, Shaodan. Joint Optimal Design for Hybrid RIS and DMA Assisted MIMO Interfering Broadcast Channel[J]. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2024, 73(9), 13138-13150.
Authors:  Huang, Xiaojun;  Xu, Kaizhe;  Han, Yu;  Zhang, Jun;  Jin, Shi; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:6.1/6.5 | Submit date：2024/05/16
Dynamic Metasurface Antenna  Mimo Interfering Broadcast Channel  Reconfigurable Intelligent Surface  Weighted Sum-rate  
YOLO: An Efficient Terahertz Band Integrated Sensing and Communications Scheme with Beam Squint Journal article
Luo, Hongliang, Gao, Feifei, Lin, Hai, Ma, Shaodan, Poor, H. Vincent. YOLO: An Efficient Terahertz Band Integrated Sensing and Communications Scheme with Beam Squint[J]. IEEE Transactions on Wireless Communications, 2024, 23(8), 9389-9403.
Authors:  Luo, Hongliang;  Gao, Feifei;  Lin, Hai;  Ma, Shaodan;  Poor, H. Vincent
Favorite | TC[WOS]:1 TC[Scopus]:6  IF:8.9/8.6 | Submit date：2024/05/16
Yolo  Integrated Sensing And Communications  Environmental Clutter  Clutter Suppression  Dynamic Targets Sensing  Beam Squint  Terahertz Mimo  
Double-RIS Aided Multi-User MIMO Communications: Common Reflection Pattern and Joint Beamforming Design Journal article
Zhang, Pingping, Gong, Shiqi, Ma, Shaodan. Double-RIS Aided Multi-User MIMO Communications: Common Reflection Pattern and Joint Beamforming Design[J]. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2024, 73(3), 4418-4423.
Authors:  Zhang, Pingping;  Gong, Shiqi;  Ma, Shaodan
Favorite | TC[WOS]:2 TC[Scopus]:2  IF:6.1/6.5 | Submit date：2024/02/22
Common Reflection Pattern  Double-ris  Mse  Multi-user Mimo System