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Enabling Deep Learning-based Physical-layer Secret Key Generation for FDD-OFDM Systems in Multi-Environments


Nov 06, 2022
Xinwei Zhang, Guyue Li, Junqing Zhang, Aiqun Hu, Xianbin Wang

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Beamforming Design and Trajectory Optimization for UAV-Empowered Adaptable Integrated Sensing and Communication


Oct 04, 2022
Cailian Deng, Xuming Fang, Xianbin Wang

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* This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible 

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Joint Optimization of Resource Allocation and Trajectory Control for Mobile Group Users in Fixed-Wing UAV-Enabled Wireless Network


Sep 28, 2022
Xuezhen Yan, Xuming Fang, Cailian Deng, Xianbin Wang

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* 30 pages, 9 figures 

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Learning-Based Client Selection for Federated Learning Services Over Wireless Networks with Constrained Monetary Budgets


Aug 08, 2022
Zhipeng Cheng, Xuwei Fan, Minghui Liwang, Ning Chen, Xianbin Wang

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* 5 pages,8 figures 

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Hybrid Architectures for Distributed Machine Learning in Heterogeneous Wireless Networks


Jun 04, 2022
Zhipeng Cheng, Xuwei Fan, Minghui Liwang, Minghui Min, Xianbin Wang, Xiaojiang Du

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* 8 pages,3 figures 

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Hybrid Reinforcement Learning for STAR-RISs: A Coupled Phase-Shift Model Based Beamformer


May 10, 2022
Ruikang Zhong, Yuanwei Liu, Xidong Mu, Yue Chen, Xianbin Wang, Lajos Hanzo

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A RIS-Based Passive DOA Estimation Method for Integrated Sensing and Communication System


Apr 25, 2022
Zhimin Chen, Peng Chen, Ziyu Guo, Xianbin Wang

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* 12 pages, 10 figures 

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SDOAnet: An Efficient Deep Learning-Based DOA Estimation Network for Imperfect Array


Mar 19, 2022
Peng Chen, Zhimin Chen, Liang Liu, Yun Chen, Xianbin Wang

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* 11 pages, 15 figures 

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Efficient DOA Estimation Method for Reconfigurable Intelligent Surfaces Aided UAV Swarm


Mar 19, 2022
Peng Chen, Zhimin Chen, Beixiong Zheng, Xianbin Wang

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* IEEE Transactions on Signal Processing (2022): 743 - 755 

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Resource Allocation in STAR-RIS-Aided Networks: OMA and NOMA


Nov 06, 2021
Chenyu Wu, Xidong Mu, Yuanwei Liu, Xuemai Gu, Xianbin Wang

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* 30 pages,9 figures 

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