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Learning Driven Resource Allocation and SIC Ordering in EH Relay Aided NB-IoT Networks Journal article
IEEE Communications Letters, 2021,Volume: 25,Issue: 8,Page: 2619-2623
Authors:  Qian, Li Ping;  Yang, Chao;  Han, Huimei;  Wu, Yuan;  Meng, Limin
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date:2021/09/10
deep reinforcement learning  Non-orthogonal multiple access (NOMA)  resource allocation  
Distributed Charging-Record Management for Electric Vehicle Networks via Blockchain Journal article
IEEE Internet of Things Journal, 2021,Volume: 8,Issue: 4,Page: 2150-2162
Authors:  Qian,Li Ping;  Wu,Yuan;  Xu,Xu;  Ji,Bo;  Shi,Zhiguo;  Jia,Weijia
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Blockchain (Bc)  Charging-record Management  Communications And Networking For Iot  Efficient Communications And Networking  Electric Vehicles (Evs)  Optimal Resource Management  
Optimal ADMM-Based Spectrum and Power Allocation for Heterogeneous Small-Cell Networks with Hybrid Energy Supplies Journal article
IEEE Transactions on Mobile Computing, 2021,Volume: 20,Issue: 2,Page: 662-677
Authors:  Qian,Li Ping;  Wu,Yuan;  Ji,Bo;  Shen,Xuemin Sherman
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Energy Cost Minimization  Heterogeneous Small-cell Networks  Hybrid Energy Supplies  Network Utility Maximization  Resource Allocation  
Energy-Efficient Multi-Access Mobile Edge Computing with Secrecy Provisioning Journal article
IEEE Transactions on Mobile Computing, 2021
Authors:  Qian, Li Ping;  Wu, Yuan;  Yu, Ningning;  Wang, Daohang;  Jiang, Fuli;  Jia, Weijia
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and Joint Computation and Communication Resource Allocations  Communication system security  Energy consumption  Multi-Access Mobile Edge Computing  Optimization  Resource management  Secrecydriven Computation Offloading  Servers  Task analysis  Wireless communication  
Visualizing Deep Learning-based Radio Modulation Classifier Journal article
IEEE Transactions on Cognitive Communications and Networking, 2020,Volume: 7,Issue: 1
Authors:  Huang,Liang;  Zhang,You;  Pan,Weijian;  Chen,Jinyin;  Qian,Li Ping;  Wu,Yuan
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Deep Learning  Modulation  Classification  Visualization  Radio Features  
Meta-Learning based Dynamic Computation Task Offloading for Mobile Edge Computing Networks Journal article
IEEE Communications Letters, 2020,Volume: 25,Issue: 5,Page: 1568 - 1572
Authors:  Huang,Liang;  Zhang,Luxin;  Yang,Shicheng;  Qian,Li Ping;  Wu,Yuan
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Computation Offloading  Computational Modeling  Deep Learning  Delays  Heuristic Algorithms  Meta-learning  Mobile-edge Computing  Servers  Task Analysis  Training  Wireless Communication  
Joint optimisation of UAV grouping and energy consumption in MEC-enabled UAV communication networks Journal article
IET Communications, 2020,Volume: 14,Issue: 16,Page: 2723-2730
Authors:  Zhu,Zhengying;  Qian,Li Ping;  Shen,Jiafang;  Huang,Liang;  Wu,Yuan
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Vehicular Networking-Enabled Vehicle State Prediction via Two-Level Quantized Adaptive Kalman Filtering Journal article
IEEE Internet of Things Journal, 2020,Volume: 7,Issue: 8,Page: 7181-7193
Authors:  Qian,Li Ping;  Feng,Anqi;  Yu,Ningning;  Xu,Wenchao;  Wu,Yuan
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Autoregressive Moving Average (Ma) Model  Quantized Adaptive Kalman Filter (Qakf)  Vehicle State Predication  Vehicular Networks  
Energy-Efficient Multi-task Multi-access Computation Offloading Via NOMA Transmission for IoTs Journal article
IEEE Transactions on Industrial Informatics, 2020,Volume: 16,Issue: 7,Page: 4811-4822
Authors:  Wu,Yuan;  Shi,Binghua;  Qian,Li Ping;  Hou,Fen;  Cai,Jiali;  Shen,Xuemin Sherman
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Energy Efficiency  Multi-access Mobile Edge Computing  Non-orthogonal Multiple Access  
Electric Vehicles Charging Scheduling Optimization for Total Elapsed Time Minimization Conference paper
IEEE Vehicular Technology Conference, Antwerp, Belgium, 25-28 May 2020
Authors:  Li Ping Qian;  Xinyue Zhou;  Ningning Yu;  Yuan Wu
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Backtracking Method  Crowd Sensing  Electric Vehicles  Matrix Decomposition Method  Total Elapsed Time