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Game-Theoretic Power Allocation Scheme of Cooperative Localization in Hybrid Active-Passive Wireless Sensor Networks Journal article
Chen, Yang, Zhao, Yubin, Ge, Yuming, Xu, Cheng Zhong. Game-Theoretic Power Allocation Scheme of Cooperative Localization in Hybrid Active-Passive Wireless Sensor Networks[J]. IEEE Internet of Things Journal, 2024, 11(18), 30027 - 30039.
Authors:  Chen, Yang;  Zhao, Yubin;  Ge, Yuming;  Xu, Cheng Zhong
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:8.2/9.0 | Submit date：2024/07/04
Cooperative Localization  Distance Measurement  Game Theory  Location Awareness  Nash Equilibrium  Network Topology  Power Allocation  Resource Management  Topology  Wireless Communication  Wireless Power Transfer  Wireless Sensor Networks  
Snowball: Energy Efficient and Accurate Federated Learning with Coarse-to-Fine Compression over Heterogeneous Wireless Edge Devices Journal article
Li Peichun, Cheng Guoliang, Huang Xumin, Kang Jiawen, Yu Rong, Wu Yuan, Pan Miao, Niyato Dusit. Snowball: Energy Efficient and Accurate Federated Learning with Coarse-to-Fine Compression over Heterogeneous Wireless Edge Devices[J]. IEEE Transactions on Wireless Communications, 2023, 22(10), 6778-6792.
Authors:  Li Peichun;  Cheng Guoliang;  Huang Xumin;  Kang Jiawen;  Yu Rong; et al.
Favorite | TC[WOS]:5 TC[Scopus]:9  IF:8.9/8.6 | Submit date：2023/08/03
Federated Learning  Gradient Compression  Wireless Resource Management  
Distributed Deep Reinforcement Learning Based Spectrum and Power Allocation for Heterogeneous Networks Journal article
Yang, Helin, Zhao, Jun, Lam, Kwok Yan, Xiong, Zehui, Wu, Qingqing, Xiao, Liang. Distributed Deep Reinforcement Learning Based Spectrum and Power Allocation for Heterogeneous Networks[J]. IEEE Transactions on Wireless Communications, 2022, 21(9), 6935 - 6948.
Authors:  Yang, Helin;  Zhao, Jun;  Lam, Kwok Yan;  Xiong, Zehui;  Wu, Qingqing; et al.
Favorite | TC[WOS]:30 TC[Scopus]:46  IF:8.9/8.6 | Submit date：2022/05/17
Heterogeneous Wireless Networks  Distributed Resource Management  Qos  Dueling Deep Reinforcement Learning  
Non-orthogonal Multiple Access assisted Federated Learning via Wireless Power Transfer: A Cost-Efficient Approach Journal article
Wu Yuan, Song Yuxiao, Wang Tianshun, Qian Liping, Quek Tony Q.S.. Non-orthogonal Multiple Access assisted Federated Learning via Wireless Power Transfer: A Cost-Efficient Approach[J]. IEEE Transactions on Communications, 2022, 70(4), 2853-2869.
Authors:  Wu Yuan;  Song Yuxiao;  Wang Tianshun;  Qian Liping;  Quek Tony Q.S.
Favorite | TC[WOS]:98 TC[Scopus]:114  IF:7.2/6.3 | Submit date：2022/08/18
Noma  Resource Management  Training  Optimization  Convergence  Mathematical Models  Energy Consumprion  Federated Learning(Fl)  Non-orthogonal Multiple Access(Noma)  Wireless Power Transfer(Wpt)  Resourse Allocations  
Joint Trajectory Design and Resource Allocation for IRS-Assisted UAV Communications With Wireless Energy Harvesting Journal article
Liu, Zhixin, Zhao, Songhan, Wu, Qingqing, Yang, Yi, Guan, Xinping. Joint Trajectory Design and Resource Allocation for IRS-Assisted UAV Communications With Wireless Energy Harvesting[J]. IEEE Communications Letters, 2021, 26(2), 404-408.
Authors:  Liu, Zhixin;  Zhao, Songhan;  Wu, Qingqing;  Yang, Yi;  Guan, Xinping
Favorite | TC[WOS]:21 TC[Scopus]:28  IF:3.7/3.5 | Submit date：2022/03/04
Unmanned Aerial Vehicles  Resource Management  Trajectory  Wireless Communication  Communication Networks  Relays  Rf Signals  Intelligent Reflecting Surface  Unmanned Aerial Vehicle  Energy Harvesting  Block Coordinate Descent Method  
Energy Minimization for IRS-aided WPCNs with Non-linear Energy Harvesting Model Journal article
Zeng, Piao, Wu, Qingqing, Qiao, Deli. Energy Minimization for IRS-aided WPCNs with Non-linear Energy Harvesting Model[J]. IEEE Wireless Communications Letters, 2021, 10(11), 2592-2596.
Authors:  Zeng, Piao;  Wu, Qingqing;  Qiao, Deli
Favorite | TC[WOS]:26 TC[Scopus]:30  IF:4.6/4.9 | Submit date：2021/11/22
Resource Management  Array Signal Processing  Noma  Throughput  Quality Of Service  Optimization  Wireless Communication  Irs  Wpcn  Noma  Non-linear Energy Harvesting  Dynamic Beamforming  
Deep Reinforcement Learning Based Resource Allocation for Heterogeneous Networks Conference paper
Helin Yang, Jun Zhao, Kwok-Yan Lam, Sahil Garg, Qingqing Wu, Zehui Xiong. Deep Reinforcement Learning Based Resource Allocation for Heterogeneous Networks[C]:IEEE, 2021, 253-258.
Authors:  Helin Yang;  Jun Zhao;  Kwok-Yan Lam;  Sahil Garg;  Qingqing Wu; et al.
Favorite | TC[WOS]:0 TC[Scopus]:4 | Submit date：2022/05/13
Distributed Resource Management  Dueling Deep Reinforcement Learning  Heterogeneous Wireless Networks  
Applications of Economic and Pricing Models for Resource Management in 5G Wireless Networks: A Survey Journal article
Luong，Nguyen Cong, Wang，Ping, Niyato，Dusit, Liang，Ying Chang, Han，Zhu, Hou，Fen. Applications of Economic and Pricing Models for Resource Management in 5G Wireless Networks: A Survey[J]. IEEE Communications Surveys and Tutorials, 2019, 21(4), 3298-3339.
Authors:  Luong，Nguyen Cong;  Wang，Ping;  Niyato，Dusit;  Liang，Ying Chang;  Han，Zhu; et al.
Favorite | TC[WOS]:77 TC[Scopus]:77  IF:34.4/34.0 | Submit date：2021/03/11
5G wireless networks  C-RAN  economic theories  HetNets  massive MIMO  mmWave communications  pricing models  resource management