Performance modeling of the IEEE 802.11p EDCA mechanism for VANET. - Qiong Wu 002; Jun Zheng 002 (GLOBECOM, 2014)

Performance modeling of IEEE 802.11 DCF based fair channel access for vehicular-to-roadside communication in a non-saturated state. - Qiong Wu 002; Jun Zheng 002 (ICC, 2014)

Performance modeling and analysis of the ADHOC MAC protocol for VANETs. - Qiong Wu 002; Jun Zheng 002 (ICC, 2015)

Performance modeling and analysis of IEEE 802.11 DCF based fair channel access for vehicle-to-roadside communication in a non-saturated state. - Qiong Wu 002; Jun Zheng 002 (Wirel. Networks, 2015)

An efficient CGA algorithm against DoS attack on duplicate address detection process. - Cui Zhang; Jinbo Xiong; Qiong Wu 002 (WCNC, 2016)

Performance Modeling and Analysis of the IEEE 802.11p EDCA Mechanism for VANET. - Jun Zheng 002; Qiong Wu 002 (IEEE Trans. Veh. Technol., 2016)

Performance modeling and analysis of the ADHOC MAC protocol for vehicular networks. - Qiong Wu 002; Jun Zheng 002 (Wirel. Networks, 2016)

Channel Impulse Response Analysis of the Indoor Propagation Based on Auto-Regressive Modeling. - Jinpeng Liang; Wen-Jun Lu; Yang Liu 065; Qiong Wu 002; Baolong Li; Zhengquan Li (ADHOCNETS, 2018)

Performance Analysis of a Downlink Cooperative NOMA Network Over Nakagami-m Fading Channels. - Yang Liu 065; Wen-Jun Lu; Sulong Shi; Qiong Wu 002; Baolong Li; Zhengquan Li; Hongbo Zhu 002 (IEEE Access, 2018)

A Closed-Form and Stochastic Wall Insertion Loss Model for Dense Small Cell Networks. - Yang Liu 065; Yu Yu 002; Qiong Wu 002; Zheng-Quan Li; Wen-Jun Lu; Hongbo Zhu 002 (IEEE Access, 2018)

A Swarming Approach to Optimize the One-hop Delay in Smart Driving Inter-platoon Communications. - Qiong Wu 002; Shuzhen Nie; Pingyi Fan; Zhengquan Li; Cui Zhang (CoRR, 2018)

Performance evaluation of the V2I fair access with a finite retry limit. - Qiong Wu 002; Hao Zhang; Zhengquan Li; Yang Liu 065; Cui Zhang (EURASIP J. Wirel. Commun. Netw., 2018)

A Swarming Approach to Optimize the One-Hop Delay in Smart Driving Inter-Platoon Communications. - Qiong Wu 002; Shuzhen Nie; Pingyi Fan; Hanxu Liu; Qiang Fan; Zhengquan Li (Sensors, 2018)

Velocity-Adaptive V2I Fair-Access Scheme Based on IEEE 802.11 DCF for Platooning Vehicles. - Qiong Wu 002; Siyang Xia; Pingyi Fan; Qiang Fan; Zhengquan Li (Sensors, 2018)

Spectral Efficiency for Multi-pair Massive MIMO Two-Way Relay Networks with Hybrid Processing. - Hongyan Wang; Zhengquan Li; Xiaomei Xue; Baolong Li; Yang Liu 065; Guilu Wu; Qiong Wu 002 (CSPS, 2019)

A Novel Joint Resource Allocation Algorithm in 5G Heterogeneous Integrated Networks. - Qingtian Zeng; Qiong Wu 002; Geng Chen 002 (CSPS, 2019)

Low-Complexity Channel Estimation Method Based on ISSOR-PCG for Massive MIMO Systems. - Cheng Zhou; Zhengquan Li; Qiong Wu 002; Yang Liu 065; Baolong Li; Guilu Wu; Xiaoqing Zhao (CSPS, 2019)

An Improved Gauss-Seidel Algorithm for Signal Detection in Massive MIMO Systems. - Xiaoqing Zhao; Zhengquan Li; Qiong Wu 002; Yang Liu 065; Baolong Li; Ziyan Jia; Cheng Zhou (WISATS (2), 2019)

A Low-Complexity Channel Estimation Method Based on Subspace for Large-Scale MIMO Systems. - Cheng Zhou; Zhengquan Li; Song Xing; Qiong Wu 002; Yang Liu 065; Baolong Li; Xiaoqing Zhao (WISATS (2), 2019)

Improved Massive MIMO RZF Precoding Algorithm Based on Truncated Kapteyn Series Expansion. - Xiaomei Xue; Zhengquan Li; Yongqiang Man; Song Xing; Yang Liu 065; Baolong Li; Qiong Wu 002 (Inf., 2019)

An Improved Jacobi-Based Detector for Massive MIMO Systems. - Xiaoqing Zhao; Zhengquan Li; Song Xing; Yang Liu 065; Qiong Wu 002; Baolong Li (Inf., 2019)

Interference Alignment With Adaptive Power Allocation in Full-Duplex-Enabled Small Cell Networks. - Kan Wang; F. Richard Yu; Lei Wang 030; Junhuai Li; Nan Zhao 001; Quansheng Guan; Bing Li; Qiong Wu 002 (IEEE Trans. Veh. Technol., 2019)

A Metasurface-Based Low-Profile Array Decoupling Technology to Enhance Isolation in MIMO Antenna Systems. - Ziyang Wang; Chenglei Li; Qiong Wu 002; Yingzeng Yin (IEEE Access, 2020)

A Task Offloading Scheme in Vehicular Fog and Cloud Computing System. - Qiong Wu 002; Hongmei Ge; Hanxu Liu; Qiang Fan; Zhengquan Li; Ziyang Wang (IEEE Access, 2020)

Delay-Sensitive Task Offloading in the 802.11p-Based Vehicular Fog Computing Systems. - Qiong Wu 002; Hanxu Liu; Ruhai Wang; Pingyi Fan; Qiang Fan; Zhengquan Li (IEEE Internet Things J., 2020)

Time-Dependent Performance Analysis of the 802.11p-Based Platooning Communications Under Disturbance. - Qiong Wu 002; Hongmei Ge; Pingyi Fan; Jiangzhou Wang; Qiang Fan; Zhengquan Li (IEEE Trans. Veh. Technol., 2020)

Real-Time Performance Evaluation of IEEE 802.11p EDCA Mechanism for IoV in a Highway Environment. - Hong Li; Qiong Wu 002; Jing Fan; Qiang Fan; Bo Chang; Guilu Wu (Wirel. Commun. Mob. Comput., 2020)

Efficient Task Offloading for 802.11p-Based Cloud-Aware Mobile Fog Computing System in Vehicular Networks. - Qiong Wu 002; Hongmei Ge; Qiang Fan; Wei Yin; Bo Chang; Guilu Wu (Wirel. Commun. Mob. Comput., 2020)

Asynchronous Federated Learning Based Mobility-aware Caching in Vehicular Edge Computing. - Wenhua Wang; Yu Zhao; Qiong Wu 002; Qiang Fan; Cui Zhang; Zhengquan Li (WCSP, 2022)

Towards V2I Age-aware Fairness Access: A DQN Based Intelligent Vehicular Node Training and Test Method. - Qiong Wu 002; Shuai Shi; Ziyang Wan; Qiang Fan; Pingyi Fan; Cui Zhang (CoRR, 2022)

High stable and accurate vehicle selection scheme based on federated edge learning in vehicular networks. - Qiong Wu 002; Xiaobo Wang 001; Qiang Fan; Pingyi Fan; Cui Zhang; Zhengquan Li (CoRR, 2022)

Asynchronous Federated Learning for Edge-assisted Vehicular Networks. - Siyuan Wang; Qiong Wu 002; Qiang Fan; Cui Zhang; Zhengquan Li (CoRR, 2022)

Velocity-Adaptive Access Scheme for MEC-Assisted Platooning Networks: Access Fairness Via Data Freshness. - Qiong Wu 002; Ziyang Wang; Qiang Fan; Pingyi Fan; Jiangzhou Wang (IEEE Internet Things J., 2022)

Time-Dependent Performance Modeling for Platooning Communications at Intersection. - Qiong Wu 002; Yu Zhao; Qiang Fan (IEEE Internet Things J., 2022)

Decentralized Power Allocation for MIMO-NOMA Vehicular Edge Computing Based on Deep Reinforcement Learning. - Hongbiao Zhu; Qiong Wu 002; Xiao-Jun Wu 001; Qiang Fan; Pingyi Fan; Jiangzhou Wang (IEEE Internet Things J., 2022)

Mobility-Aware Asynchronous Federated Learning for Edge-Assisted Vehicular Networks. - Siyuan Wang; Qiong Wu 002; Qiang Fan; Pingyi Fan; Jiangzhou Wang (ICC, 2023)

Enhanced C-V2X Mode 4 to Optimize Age of Information and Reliability for IoV. - Jiahou Chu; Qiong Wu 002; Qiang Fan; Zhengquan Li (ICCT, 2023)

Deep Reinforcement Learning Based Power Allocation for Minimizing AoI and Energy Consumption in MIMO-NOMA IoT Systems. - Hongbiao Zhu; Qiong Wu 002; Qiang Fan; Pingyi Fan; Jiangzhou Wang; Zhengquan Li (CoRR, 2023)

Deep Reinforcement Learning Based Vehicle Selection for Asynchronous Federated Learning Enabled Vehicular Edge Computing. - Qiong Wu 002; Siyuan Wang; Pingyi Fan; Qiang Fan (CoRR, 2023)

Mobility-Aware Cooperative Caching in Vehicular Edge Computing Based on Asynchronous Federated and Deep Reinforcement Learning. - Qiong Wu 002; Yu Zhao; Qiang Fan; Pingyi Fan; Jiangzhou Wang; Cui Zhang (IEEE J. Sel. Top. Signal Process., 2023)

A Power Allocation Scheme for MIMO-NOMA and D2D Vehicular Edge Computing Based on Decentralized DRL. - Dunxing Long; Qiong Wu 002; Qiang Fan; Pingyi Fan; Zhengquan Li; Jing Fan (Sensors, 2023)

A Novel Long-Term Noise Prediction System Based on $ alpha$DTW-DCRNN Using Periodically Unaligned Spatiotemporal Distribution Sequences. - Qingtian Zeng; Yu Liang; Geng Chen 002; Hua Duan; Qiong Wu 002 (IEEE Syst. J., 2023)

Deep Reinforcement Learning-Based Power Allocation for Minimizing Age of Information and Energy Consumption in Multi-Input Multi-Output and Non-Orthogonal Multiple Access Internet of Things Systems. - Qiong Wu 002; Zheng Zhang; Hongbiao Zhu; Pingyi Fan; Qiang Fan; Huiling Zhu; Jiangzhou Wang (Sensors, 2023)

Cooperative Edge Caching Based on Elastic Federated and Multi-Agent Deep Reinforcement Learning in Next-Generation Network. - Qiong Wu 002; Wenhua Wang; Pingyi Fan; Qiang Fan; Huiling Zhu; Khaled B. Letaief (CoRR, 2024)

Anti-Byzantine Attacks Enabled Vehicle Selection for Asynchronous Federated Learning in Vehicular Edge Computing. - Cui Zhang; Xiao Xu; Qiong Wu 002; Pingyi Fan; Qiang Fan; Huiling Zhu; Jiangzhou Wang (CoRR, 2024)

Optimizing Age of Information in Vehicular Edge Computing with Federated Graph Neural Network Multi-Agent Reinforcement Learning. - Wenhua Wang; Qiong Wu 002; Pingyi Fan; Nan Cheng; Wen Chen 001; Jiangzhou Wang; Khaled B. Letaief (CoRR, 2024)

Channel Characterization of IRS-assisted Resonant Beam Communication Systems. - Wen Fang 001; Wen Chen 001; Qingqing Wu 001; Xusheng Zhu; Qiong Wu 002; Nan Cheng (CoRR, 2024)

Enhancing Robustness and Security in ISAC Network Design: Leveraging Transmissive Reconfigurable Intelligent Surface with RSMA. - Ziwei Liu 005; Wen Chen 001; Qingqing Wu 001; Zhendong Li; Xusheng Zhu; Qiong Wu 002; Nan Cheng (CoRR, 2024)

Resource Allocation for Twin Maintenance and Computing Task Processing in Digital Twin Vehicular Edge Computing Network. - Yu Xie; Qiong Wu 002; Pingyi Fan; Nan Cheng; Wen Chen 001; Jiangzhou Wang; Khaled B. Letaief (CoRR, 2024)

Digital Twin Vehicular Edge Computing Network: Task Offloading and Resource Allocation. - Yu Xie; Qiong Wu 002; Pingyi Fan (CoRR, 2024)

Reconfigurable Intelligent Surface Aided Vehicular Edge Computing: Joint Phase-shift Optimization and Multi-User Power Allocation. - Kangwei Qi; Qiong Wu 002; Pingyi Fan; Nan Cheng; Wen Chen 001; Khaled B. Letaief (CoRR, 2024)

Age of Information Analysis for Multi-Priority Queue and NOMA Enabled C-V2X in IoV. - Zheng Zhang; Qiong Wu 002; Pingyi Fan; Ke Xiong 001 (CoRR, 2024)

Mobility-Aware Federated Self-supervised Learning in Vehicular Network. - Xueying Gu; Qiong Wu 002; Pingyi Fan; Qiang Fan (CoRR, 2024)

DRL-Based Federated Self-Supervised Learning for Task Offloading and Resource Allocation in ISAC-Enabled Vehicle Edge Computing. - Xueying Gu; Qiong Wu 002; Pingyi Fan; Nan Cheng; Wen Chen 001; Khaled B. Letaief (CoRR, 2024)

Blockchain-Enabled Variational Information Bottleneck for Data Extraction Based on Mutual Information in Internet of Vehicles. - Cui Zhang; Wenjun Zhang 001; Qiong Wu 002; Pingyi Fan; Nan Cheng; Wen Chen 001; Khaled B. Letaief (CoRR, 2024)

A Comprehensive Survey on Joint Resource Allocation Strategies in Federated Edge Learning. - Jingbo Zhang; Qiong Wu 002; Pingyi Fan; Qiang Fan (CoRR, 2024)

V2X-Assisted Distributed Computing and Control Framework for Connected and Automated Vehicles under Ramp Merging Scenario. - Qiong Wu 002; Jiahou Chu; Pingyi Fan; Kezhi Wang; Nan Cheng; Wen Chen 001; Khaled B. Letaief (CoRR, 2024)

Semantic-Aware Resource Management for C-V2X Platooning via Multi-Agent Reinforcement Learning. - Zhiyu Shao; Qiong Wu 002; Pingyi Fan; Kezhi Wang; Qiang Fan; Wen Chen 001; Khaled B. Letaief (CoRR, 2024)

Beamforming Design and Multi-User Scheduling in Transmissive RIS Enabled Distributed Cooperative ISAC Networks with RSMA. - Ziwei Liu 005; Wen Chen 001; Qingqing Wu 001; Zhendong Li; Qiong Wu 002; Nan Cheng; Jun Li 004 (CoRR, 2024)

DRL-Based Optimization for AoI and Energy Consumption in C-V2X Enabled IoV. - Zheng Zhang; Qiong Wu 002; Pingyi Fan; Nan Cheng; Wen Chen 001; Khaled B. Letaief (CoRR, 2024)

Optimizing Age of Information in Internet of Vehicles Over Error-Prone Channels. - Cui Zhang; Maoxin Ji; Qiong Wu 002; Pingyi Fan; Qiang Fan (CoRR, 2024)

Delay-Sensitive Task Offloading in Vehicular Fog Computing-Assisted Platoons. - Qiong Wu 002; Siyuan Wang; Hongmei Ge; Pingyi Fan; Qiang Fan; Khaled Ben Letaief (IEEE Trans. Netw. Serv. Manag., 2024)

Blockchain-Enabled Variational Information Bottleneck for IoT Networks. - Qiong Wu 002; Le Kuai; Pingyi Fan; Qiang Fan; Junhui Zhao 001; Jiangzhou Wang (IEEE Netw. Lett., 2024)

Joint Optimization of Age of Information and Energy Consumption in NR-V2X System Based on Deep Reinforcement Learning. - Shulin Song; Zheng Zhang; Qiong Wu 002; Pingyi Fan; Qiang Fan (Sensors, 2024)

Cooperative Edge Caching Based on Elastic Federated and Multi-Agent Deep Reinforcement Learning in Next-Generation Networks. - Qiong Wu 002; Wenhua Wang; Pingyi Fan; Qiang Fan; Huiling Zhu; Khaled B. Letaief (IEEE Trans. Netw. Serv. Manag., 2024)

URLLC-Awared Resource Allocation for Heterogeneous Vehicular Edge Computing. - Qiong Wu 002; Wenhua Wang; Pingyi Fan; Qiang Fan; Jiangzhou Wang; Khaled B. Letaief (IEEE Trans. Veh. Technol., 2024)

Reconfigurable Intelligent Surface Assisted VEC Based on Multi-Agent Reinforcement Learning. - Kangwei Qi; Qiong Wu 002; Pingyi Fan; Nan Cheng; Qiang Fan; Jiangzhou Wang (IEEE Commun. Lett., 2024)

Semantic-Aware Resource Allocation Based on Deep Reinforcement Learning for 5G-V2X HetNets. - Zhiyu Shao; Qiong Wu 002; Pingyi Fan; Nan Cheng; Qiang Fan; Jiangzhou Wang (IEEE Commun. Lett., 2024)

Semantic-Aware Spectrum Sharing in Internet of Vehicles Based on Deep Reinforcement Learning. - Zhiyu Shao; Qiong Wu 002; Pingyi Fan; Nan Cheng; Wen Chen 001; Jiangzhou Wang; Khaled Ben Letaief (IEEE Internet Things J., 2024)

Vehicle Selection for C-V2X Mode 4-Based Federated Edge Learning Systems. - Xiaobo Wang 001; Qiong Wu 002; Pingyi Fan; Qiang Fan; Huiling Zhu; Jiangzhou Wang (IEEE Syst. J., 2024)

Graph Neural Networks and Deep Reinforcement Learning-Based Resource Allocation for V2X Communications. - Maoxin Ji; Qiong Wu 002; Pingyi Fan; Nan Cheng; Wen Chen 001; Jiangzhou Wang; Khaled B. Letaief (IEEE Internet Things J., 2025)

Reconfigurable-Intelligent-Surface-Aided Vehicular Edge Computing: Joint Phase-Shift Optimization and Multiuser Power Allocation. - Kangwei Qi; Qiong Wu 002; Pingyi Fan; Nan Cheng; Wen Chen 001; Khaled Ben Letaief (IEEE Internet Things J., 2025)

Resource Allocation for Twin Maintenance and Task Processing in Vehicular Edge Computing Network. - Yu Xie; Qiong Wu 002; Pingyi Fan; Nan Cheng; Wen Chen 001; Jiangzhou Wang; Khaled B. Letaief (IEEE Internet Things J., 2025)

Enhanced SPS Velocity-adaptive Scheme: Access Fairness in 5G NR V2I Networks. - Xiao Xu; Qiong Wu 002; Pingyi Fan; Kezhi Wang (CoRR, 2025)

PPO-Based Vehicle Control for Ramp Merging Scheme Assisted by Enhanced C-V2X. - Qiong Wu 002; Maoxin Ji; Pingyi Fan; Kezhi Wang; Nan Cheng; Wen Chen 001; Khaled B. Letaief (CoRR, 2025)

Deep-Reinforcement-Learning-Based AoI-Aware Resource Allocation for RIS-Aided IoV Networks. - Kangwei Qi; Qiong Wu 002; Pingyi Fan; Nan Cheng; Wen Chen 001; Jiangzhou Wang; Khaled B. Letaief (IEEE Trans. Veh. Technol., 2025)

A Survey on Semantic Communications in Internet of Vehicles. - Sha Ye; Qiong Wu 002; Pingyi Fan; Qiang Fan (CoRR, 2025)

DRL-Based Resource Allocation for Motion Blur Resistant Federated Self-Supervised Learning in IoV. - Xueying Gu; Qiong Wu 002; Pingyi Fan; Qiang Fan; Nan Cheng; Wen Chen 001; Khaled Ben Letaief (IEEE Internet Things J., 2025)

Distributed Deep Reinforcement Learning-Based Gradient Quantization for Federated Learning Enabled Vehicle Edge Computing. - Cui Zhang; Wenjun Zhang 001; Qiong Wu 002; Pingyi Fan; Qiang Fan; Jiangzhou Wang; Khaled B. Letaief (IEEE Internet Things J., 2025)

Federated Learning Assisted Edge Caching Scheme Based on Lightweight Architecture DDPM. - Xun Li; Qiong Wu 002; Pingyi Fan; Kezhi Wang; Nan Cheng; Khaled B. Letaief (CoRR, 2025)

Optimizing System Latency for Blockchain-Encrypted Edge Computing in Internet of Vehicles. - Cui Zhang; Maoxin Ji; Qiong Wu 002; Pingyi Fan; Qiang Fan (CoRR, 2025)

Enhanced Velocity-Adaptive Scheme: Joint Fair Access and Age of Information Optimization in Vehicular Networks. - Xiao Xu; Qiong Wu 002; Pingyi Fan; Kezhi Wang; Nan Cheng; Wen Chen 001; Khaled B. Letaief (CoRR, 2025)

Large Language Model-Based Task Offloading and Resource Allocation for Digital Twin Edge Computing Networks. - Qiong Wu 002; Yu Xie; Pingyi Fan; Dong Qin; Kezhi Wang; Nan Cheng; Khaled B. Letaief (CoRR, 2025)