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ORCIDQiong Wu 0002
Person information
- affiliation (since 2018): Tsinghua University, Department of Electronic Engineering, Beijing, China
- affiliation (since 2016): Jiangnan University, School of IoT Engineering, Wuxi, China
- affiliation (PhD 2016): Southeast University, National Mobile Communication Research Laboratory, Nanjing, China
Other persons with the same name
- Qiong Wu — disambiguation page
- Qiong Wu 0001 — Nanyang Technological University, School of Computer Engineering, Singapore
- Qiong Wu 0003 — University of Alberta, Edmonton, AB, Canada
- Qiong Wu 0004
![[0000-0003-1008-0318]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-1008-0318")
— Harbin University of Science and Technology, School of Measurement-Control Tech & Communications Engineering, China - Qiong Wu 0005 — Chinese Academy of Sciences, Shanghai Institute of Microsystem and Information Technology, China (and 1 more)
- Qiong Wu 0006 — University of Texas at Arlington, Department of Electrical Engineering, Arlington, TX, USA
- Qiong Wu 0007 — University of Hawaii at Manoa, Department of Civil and Environmental Engineering, Honolulu, HI, USA
- Qiong Wu 0008 — College of William & Mary, VA, USA (and 1 more)
- Qiong Wu 0009 — Sun Yat-sen University, School of Data and Computer Science / Guangdong Key Laboratory for Big Data Analysis and Simulation of Public Opinion, Guangzhou, China
- Qiong Wu 0010 — Suzhou University of Science and Technology, Department of Psychology, China (and 1 more)
- Christine Qiong Wu (aka: Qiong Wu 0011) — University of Manitoba, Department of Mechanical Engineering, Winnipeg, Canada
- Qiong Wu 0012 — Xiamen University, Institute of Artificial Intelligence and the Media, Analytics and Computing Laboratory, School of Informatics, China
- Qiong Wu 0013 — Illinois Institute of Technology, Integrated Electronics Laboratory, epartment of Electrical and Computer Engineering, Chicago, IL, USA
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2020 – today
- 2024
[j32]Kangwei Qi, Qiong Wu, Pingyi Fan, Nan Cheng, Qiang Fan, Jiangzhou Wang:
Reconfigurable Intelligent Surface Assisted VEC Based on Multi-Agent Reinforcement Learning. IEEE Commun. Lett. 28(10): 2427-2431 (2024)- [j31]Zhiyu Shao, Qiong Wu, Pingyi Fan, Nan Cheng, Qiang Fan, Jiangzhou Wang:
Semantic-Aware Resource Allocation Based on Deep Reinforcement Learning for 5G-V2X HetNets. IEEE Commun. Lett. 28(10): 2452-2456 (2024) - [j30]Qiong Wu, Le Kuai, Pingyi Fan, Qiang Fan, Junhui Zhao, Jiangzhou Wang:
Blockchain-Enabled Variational Information Bottleneck for IoT Networks. IEEE Netw. Lett. 6(2): 92-96 (2024) - [j29]Zhiyu Shao, Qiong Wu, Pingyi Fan, Nan Cheng, Wen Chen, Jiangzhou Wang, Khaled Ben Letaief:
Semantic-Aware Spectrum Sharing in Internet of Vehicles Based on Deep Reinforcement Learning. IEEE Internet Things J. 11(23): 38521-38536 (2024) - [j28]Shulin Song, Zheng Zhang, Qiong Wu, Pingyi Fan, Qiang Fan:
Joint Optimization of Age of Information and Energy Consumption in NR-V2X System Based on Deep Reinforcement Learning. Sensors 24(13): 4338 (2024) - [j27]Qiong Wu, Siyuan Wang, Hongmei Ge, Pingyi Fan, Qiang Fan, Khaled Ben Letaief:
Delay-Sensitive Task Offloading in Vehicular Fog Computing-Assisted Platoons. IEEE Trans. Netw. Serv. Manag. 21(2): 2012-2026 (2024) - [j26]Qiong Wu, Wenhua Wang, Pingyi Fan, Qiang Fan, Huiling Zhu, Khaled B. Letaief:
Cooperative Edge Caching Based on Elastic Federated and Multi-Agent Deep Reinforcement Learning in Next-Generation Networks. IEEE Trans. Netw. Serv. Manag. 21(4): 4179-4196 (2024) - [j25]Qiong Wu, Wenhua Wang, Pingyi Fan, Qiang Fan, Jiangzhou Wang, Khaled B. Letaief:
URLLC-Awared Resource Allocation for Heterogeneous Vehicular Edge Computing. IEEE Trans. Veh. Technol. 73(8): 11789-11805 (2024) - [i37]Qiong Wu, Xiaobo Wang, Pingyi Fan, Qiang Fan, Huiling Zhu, Jiangzhou Wang:
Vehicle Selection for C-V2X Mode 4 Based Federated Edge Learning Systems. CoRR abs/2401.07224 (2024) - [i36]Qiong Wu, Wenhua Wang, Pingyi Fan, Qiang Fan, Huiling Zhu, Khaled B. Letaief:
Cooperative Edge Caching Based on Elastic Federated and Multi-Agent Deep Reinforcement Learning in Next-Generation Network. CoRR abs/2401.09886 (2024) - [i35]Cui Zhang, Xiao Xu, Qiong Wu, Pingyi Fan, Qiang Fan, Huiling Zhu, Jiangzhou Wang:
Anti-Byzantine Attacks Enabled Vehicle Selection for Asynchronous Federated Learning in Vehicular Edge Computing. CoRR abs/2404.08444 (2024) - [i34]Zhiyu Shao, Qiong Wu, Pingyi Fan, Nan Cheng, Wen Chen, Jiangzhou Wang, Khaled B. Letaief:
Semantic-Aware Spectrum Sharing in Internet of Vehicles Based on Deep Reinforcement Learning. CoRR abs/2406.07213 (2024) - [i33]Zhiyu Shao, Qiong Wu, Pingyi Fan, Nan Cheng, Qiang Fan, Jiangzhou Wang:
Semantic-Aware Resource Allocation Based on Deep Reinforcement Learning for 5G-V2X HetNets. CoRR abs/2406.07996 (2024) - [i32]Kangwei Qi, Qiong Wu, Pingyi Fan, Nan Cheng, Wen Chen, Jiangzhou Wang, Khaled B. Letaief:
Deep-Reinforcement-Learning-Based AoI-Aware Resource Allocation for RIS-Aided IoV Networks. CoRR abs/2406.11245 (2024) - [i31]Kangwei Qi, Qiong Wu, Pingyi Fan, Nan Cheng, Qiang Fan, Jiangzhou Wang:
Reconfigurable Intelligent Surface Assisted VEC Based on Multi-Agent Reinforcement Learning. CoRR abs/2406.11318 (2024) - [i30]Wenhua Wang, Qiong Wu, Pingyi Fan, Nan Cheng, Wen Chen, Jiangzhou Wang, Khaled B. Letaief:
Optimizing Age of Information in Vehicular Edge Computing with Federated Graph Neural Network Multi-Agent Reinforcement Learning. CoRR abs/2407.02342 (2024) - [i29]Wen Fang, Wen Chen, Qingqing Wu, Xusheng Zhu, Qiong Wu, Nan Cheng:
Channel Characterization of IRS-assisted Resonant Beam Communication Systems. CoRR abs/2407.05331 (2024) - [i28]Maoxin Ji, Qiong Wu, Pingyi Fan, Nan Cheng, Wen Chen, Jiangzhou Wang, Khaled B. Letaief:
Graph Neural Networks and Deep Reinforcement Learning Based Resource Allocation for V2X Communications. CoRR abs/2407.06518 (2024) - [i27]Ziwei Liu, Wen Chen, Qingqing Wu, Zhendong Li, Xusheng Zhu, Qiong Wu, Nan Cheng:
Enhancing Robustness and Security in ISAC Network Design: Leveraging Transmissive Reconfigurable Intelligent Surface with RSMA. CoRR abs/2407.06767 (2024) - [i26]Yu Xie, Qiong Wu, Pingyi Fan, Nan Cheng, Wen Chen, Jiangzhou Wang, Khaled B. Letaief:
Resource Allocation for Twin Maintenance and Computing Task Processing in Digital Twin Vehicular Edge Computing Network. CoRR abs/2407.07575 (2024) - [i25]Shulin Song, Zheng Zhang, Qiong Wu, Qiang Fan, Pingyi Fan:
Joint Optimization of Age of Information and Energy Consumption in NR-V2X System based on Deep Reinforcement Learning. CoRR abs/2407.08458 (2024) - [i24]Cui Zhang, Wenjun Zhang, Qiong Wu, Pingyi Fan, Qiang Fan, Jiangzhou Wang, Khaled B. Letaief:
Distributed Deep Reinforcement Learning Based Gradient Quantization for Federated Learning Enabled Vehicle Edge Computing. CoRR abs/2407.08462 (2024) - [i23]Yu Xie, Qiong Wu, Pingyi Fan:
Digital Twin Vehicular Edge Computing Network: Task Offloading and Resource Allocation. CoRR abs/2407.11310 (2024) - [i22]Kangwei Qi, Qiong Wu, Pingyi Fan, Nan Cheng, Wen Chen, Khaled B. Letaief:
Reconfigurable Intelligent Surface Aided Vehicular Edge Computing: Joint Phase-shift Optimization and Multi-User Power Allocation. CoRR abs/2407.13123 (2024) - [i21]Zheng Zhang, Qiong Wu, Pingyi Fan, Ke Xiong:
Age of Information Analysis for Multi-Priority Queue and NOMA Enabled C-V2X in IoV. CoRR abs/2408.00223 (2024) - [i20]Xueying Gu, Qiong Wu, Pingyi Fan, Qiang Fan:
Mobility-Aware Federated Self-supervised Learning in Vehicular Network. CoRR abs/2408.00256 (2024) - [i19]Xueying Gu, Qiong Wu, Pingyi Fan, Qiang Fan, Nan Cheng, Wen Chen, Khaled B. Letaief:
DRL-Based Resource Allocation for Motion Blur Resistant Federated Self-Supervised Learning in IoV. CoRR abs/2408.09194 (2024) - [i18]Xueying Gu, Qiong Wu, Pingyi Fan, Nan Cheng, Wen Chen, Khaled B. Letaief:
DRL-Based Federated Self-Supervised Learning for Task Offloading and Resource Allocation in ISAC-Enabled Vehicle Edge Computing. CoRR abs/2408.14831 (2024) - [i17]Cui Zhang, Wenjun Zhang, Qiong Wu, Pingyi Fan, Nan Cheng, Wen Chen, Khaled B. Letaief:
Blockchain-Enabled Variational Information Bottleneck for Data Extraction Based on Mutual Information in Internet of Vehicles. CoRR abs/2409.17287 (2024) - [i16]Jingbo Zhang, Qiong Wu, Pingyi Fan, Qiang Fan:
A Comprehensive Survey on Joint Resource Allocation Strategies in Federated Edge Learning. CoRR abs/2410.07881 (2024) - [i15]Qiong Wu, Jiahou Chu, Pingyi Fan, Kezhi Wang, Nan Cheng, Wen Chen, Khaled B. Letaief:
V2X-Assisted Distributed Computing and Control Framework for Connected and Automated Vehicles under Ramp Merging Scenario. CoRR abs/2410.22987 (2024) - 2023
- [j24]Qiong Wu, Yu Zhao, Qiang Fan, Pingyi Fan, Jiangzhou Wang, Cui Zhang:
Mobility-Aware Cooperative Caching in Vehicular Edge Computing Based on Asynchronous Federated and Deep Reinforcement Learning. IEEE J. Sel. Top. Signal Process. 17(1): 66-81 (2023) - [j23]Dunxing Long, Qiong Wu, Qiang Fan, Pingyi Fan, Zhengquan Li, Jing Fan:
A Power Allocation Scheme for MIMO-NOMA and D2D Vehicular Edge Computing Based on Decentralized DRL. Sensors 23(7): 3449 (2023) - [j22]Qiong Wu, Zheng Zhang, Hongbiao Zhu, Pingyi Fan, Qiang Fan, Huiling Zhu, Jiangzhou Wang:
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. Sensors 23(24): 9687 (2023) - [j21]Qingtian Zeng, Yu Liang, Geng Chen, Hua Duan, Qiong Wu:
A Novel Long-Term Noise Prediction System Based on $\alpha$DTW-DCRNN Using Periodically Unaligned Spatiotemporal Distribution Sequences. IEEE Syst. J. 17(3): 4591-4602 (2023) - [c14]Siyuan Wang, Qiong Wu, Qiang Fan, Pingyi Fan, Jiangzhou Wang:
Mobility-Aware Asynchronous Federated Learning for Edge-Assisted Vehicular Networks. ICC 2023: 3621-3626 - [c13]Jiahou Chu, Qiong Wu, Qiang Fan, Zhengquan Li:
Enhanced C-V2X Mode 4 to Optimize Age of Information and Reliability for IoV. ICCT 2023: 1082-1086 - [i14]Hongbiao Zhu, Qiong Wu, Qiang Fan, Pingyi Fan, Jiangzhou Wang, Zhengquan Li:
Deep Reinforcement Learning Based Power Allocation for Minimizing AoI and Energy Consumption in MIMO-NOMA IoT Systems. CoRR abs/2303.06411 (2023) - [i13]Qiong Wu, Siyuan Wang, Pingyi Fan, Qiang Fan:
Deep Reinforcement Learning Based Vehicle Selection for Asynchronous Federated Learning Enabled Vehicular Edge Computing. CoRR abs/2304.02832 (2023) - [i12]Qiong Wu, Siyuan Wang, Hongmei Ge, Pingyi Fan, Qiang Fan, Khaled B. Letaief:
Delay-sensitive Task Offloading in Vehicular Fog Computing-Assisted Platoons. CoRR abs/2309.10234 (2023) - [i11]Jiahou Chu, Qiong Wu, Qiang Fan, Zhengquan Li:
Enhanced C-V2X Mode 4 to Optimize Age of Information and Reliability for IoV. CoRR abs/2309.10508 (2023) - 2022
- [j20]Qiong Wu, Ziyang Wang, Qiang Fan, Pingyi Fan, Jiangzhou Wang:
Velocity-Adaptive Access Scheme for MEC-Assisted Platooning Networks: Access Fairness Via Data Freshness. IEEE Internet Things J. 9(6): 4229-4244 (2022) - [j19]Hongbiao Zhu, Qiong Wu, Xiao-Jun Wu, Qiang Fan, Pingyi Fan, Jiangzhou Wang:
Decentralized Power Allocation for MIMO-NOMA Vehicular Edge Computing Based on Deep Reinforcement Learning. IEEE Internet Things J. 9(14): 12770-12782 (2022) - [j18]Qiong Wu, Yu Zhao, Qiang Fan:
Time-Dependent Performance Modeling for Platooning Communications at Intersection. IEEE Internet Things J. 9(19): 18500-18513 (2022) - [c12]Wenhua Wang, Yu Zhao, Qiong Wu, Qiang Fan, Cui Zhang, Zhengquan Li:
Asynchronous Federated Learning Based Mobility-aware Caching in Vehicular Edge Computing. WCSP 2022: 1-5 - [i10]Qiong Wu, Yu Zhao, Qiang Fan, Pingyi Fan, Jiangzhou Wang, Cui Zhang:
Mobility-Aware Cooperative Caching in Vehicular Edge Computing Based on Asynchronous Federated and Deep Reinforcement Learning. CoRR abs/2208.01219 (2022) - [i9]Wenhua Wang, Yu Zhao, Qiong Wu, Qiang Fan, Cui Zhang, Zhengquan Li:
Asynchronous Federated Learning Based Mobility-aware Caching in Vehicular Edge Computing. CoRR abs/2208.01236 (2022) - [i8]Qiong Wu, Shuai Shi, Ziyang Wan, Qiang Fan, Pingyi Fan, Cui Zhang:
Towards V2I Age-aware Fairness Access: A DQN Based Intelligent Vehicular Node Training and Test Method. CoRR abs/2208.01283 (2022) - [i7]Qiong Wu, Xiaobo Wang, Qiang Fan, Pingyi Fan, Cui Zhang, Zhengquan Li:
High stable and accurate vehicle selection scheme based on federated edge learning in vehicular networks. CoRR abs/2208.01890 (2022) - [i6]Siyuan Wang, Qiong Wu, Qiang Fan, Cui Zhang, Zhengquan Li:
Asynchronous Federated Learning for Edge-assisted Vehicular Networks. CoRR abs/2208.01901 (2022) - 2021
- [i5]Hongbiao Zhu, Qiong Wu, Xiaojun Wu, Qiang Fan, Pingyi Fan, Jiangzhou Wang:
Decentralized Power Allocation for MIMO-NOMA Vehicular Edge Computing Based on Deep Reinforcement Learning. CoRR abs/2107.14772 (2021) - [i4]Qiong Wu, Ziyang Wang, Qiang Fan, Pingyi Fan, Jiangzhou Wang:
Velocity-adaptive Access Scheme for MEC-assisted Platooning Networks: Access Fairness Via Data Freshness. CoRR abs/2108.03778 (2021) - 2020
- [j17]Qiong Wu, Hongmei Ge, Hanxu Liu, Qiang Fan, Zhengquan Li, Ziyang Wang:
A Task Offloading Scheme in Vehicular Fog and Cloud Computing System. IEEE Access 8: 1173-1184 (2020) - [j16]Ziyang Wang, Chenglei Li, Qiong Wu, Yingzeng Yin:
A Metasurface-Based Low-Profile Array Decoupling Technology to Enhance Isolation in MIMO Antenna Systems. IEEE Access 8: 125565-125575 (2020) - [j15]Qiong Wu, Hanxu Liu, Ruhai Wang, Pingyi Fan, Qiang Fan, Zhengquan Li:
Delay-Sensitive Task Offloading in the 802.11p-Based Vehicular Fog Computing Systems. IEEE Internet Things J. 7(1): 773-785 (2020) - [j14]Qiong Wu, Hongmei Ge, Pingyi Fan, Jiangzhou Wang, Qiang Fan, Zhengquan Li:
Time-Dependent Performance Analysis of the 802.11p-Based Platooning Communications Under Disturbance. IEEE Trans. Veh. Technol. 69(12): 15760-15773 (2020) - [j13]Qiong Wu, Hongmei Ge, Qiang Fan, Wei Yin, Bo Chang, Guilu Wu:
Efficient Task Offloading for 802.11p-Based Cloud-Aware Mobile Fog Computing System in Vehicular Networks. Wirel. Commun. Mob. Comput. 2020: 8816090:1-8816090:12 (2020) - [j12]Hong Li, Qiong Wu, Jing Fan, Qiang Fan, Bo Chang, Guilu Wu:
Real-Time Performance Evaluation of IEEE 802.11p EDCA Mechanism for IoV in a Highway Environment. Wirel. Commun. Mob. Comput. 2020: 8848477:1-8848477:10 (2020) - [i3]Qiong Wu, Hongmei Ge, Pingyi Fan, Jiangzhou Wang, Qiang Fan, Zhengquan Li:
Time-dependent Performance Analysis of the 802.11p-based Platooning Communications Under Disturbance. CoRR abs/2011.02616 (2020) - [i2]Qiong Wu, Hanxu Liu, Ruhai Wang, Pingyi Fan, Qiang Fan, Zhengquan Li:
Delay Sensitive Task Offloading in the 802.11p Based Vehicular Fog Computing Systems. CoRR abs/2012.01122 (2020)
2010 – 2019
- 2019
- [j11]Xiaomei Xue, Zhengquan Li, Yongqiang Man, Song Xing, Yang Liu, Baolong Li, Qiong Wu:
Improved Massive MIMO RZF Precoding Algorithm Based on Truncated Kapteyn Series Expansion. Inf. 10(4): 136 (2019) - [j10]Xiaoqing Zhao, Zhengquan Li, Song Xing, Yang Liu, Qiong Wu, Baolong Li:
An Improved Jacobi-Based Detector for Massive MIMO Systems. Inf. 10(5): 165 (2019) - [j9]Kan Wang, F. Richard Yu, Lei Wang, Junhuai Li, Nan Zhao, Quansheng Guan, Bing Li, Qiong Wu:
Interference Alignment With Adaptive Power Allocation in Full-Duplex-Enabled Small Cell Networks. IEEE Trans. Veh. Technol. 68(3): 3010-3015 (2019) - [c11]Qingtian Zeng, Qiong Wu, Geng Chen:
A Novel Joint Resource Allocation Algorithm in 5G Heterogeneous Integrated Networks. CSPS 2019: 1948-1957 - [c10]Cheng Zhou, Zhengquan Li, Qiong Wu, Yang Liu, Baolong Li, Guilu Wu, Xiaoqing Zhao:
Low-Complexity Channel Estimation Method Based on ISSOR-PCG for Massive MIMO Systems. CSPS 2019: 2251-2258 - [c9]Hongyan Wang, Zhengquan Li, Xiaomei Xue, Baolong Li, Yang Liu, Guilu Wu, Qiong Wu:
Spectral Efficiency for Multi-pair Massive MIMO Two-Way Relay Networks with Hybrid Processing. CSPS 2019: 2459-2466 - [c8]Cheng Zhou, Zhengquan Li, Song Xing, Qiong Wu, Yang Liu, Baolong Li, Xiaoqing Zhao:
A Low-Complexity Channel Estimation Method Based on Subspace for Large-Scale MIMO Systems. WISATS (2) 2019: 387-397 - [c7]Xiaoqing Zhao, Zhengquan Li, Qiong Wu, Yang Liu, Baolong Li, Ziyan Jia, Cheng Zhou:
An Improved Gauss-Seidel Algorithm for Signal Detection in Massive MIMO Systems. WISATS (2) 2019: 398-407 - 2018
- [j8]Yang Liu, Yu Yu, Qiong Wu, Zheng-Quan Li, Wen-Jun Lu, Hongbo Zhu:
A Closed-Form and Stochastic Wall Insertion Loss Model for Dense Small Cell Networks. IEEE Access 6: 11596-11604 (2018) - [j7]Yang Liu, Wen-Jun Lu, Sulong Shi, Qiong Wu, Baolong Li, Zhengquan Li, Hongbo Zhu:
Performance Analysis of a Downlink Cooperative NOMA Network Over Nakagami-m Fading Channels. IEEE Access 6: 53034-53043 (2018) - [j6]Qiong Wu, Hao Zhang, Zhengquan Li, Yang Liu, Cui Zhang:
Performance evaluation of the V2I fair access with a finite retry limit. EURASIP J. Wirel. Commun. Netw. 2018: 20 (2018) - [j5]Qiong Wu, Shuzhen Nie, Pingyi Fan, Hanxu Liu, Qiang Fan, Zhengquan Li:
A Swarming Approach to Optimize the One-Hop Delay in Smart Driving Inter-Platoon Communications. Sensors 18(10): 3307 (2018) - [j4]Qiong Wu, Siyang Xia, Pingyi Fan, Qiang Fan, Zhengquan Li:
Velocity-Adaptive V2I Fair-Access Scheme Based on IEEE 802.11 DCF for Platooning Vehicles. Sensors 18(12): 4198 (2018) - [c6]Jinpeng Liang, Wen-Jun Lu, Yang Liu, Qiong Wu, Baolong Li, Zhengquan Li:
Channel Impulse Response Analysis of the Indoor Propagation Based on Auto-Regressive Modeling. ADHOCNETS 2018: 282-291 - [i1]Qiong Wu, Shuzhen Nie, Pingyi Fan, Zhengquan Li, Cui Zhang:
A Swarming Approach to Optimize the One-hop Delay in Smart Driving Inter-platoon Communications. CoRR abs/1807.07301 (2018) - 2016
- [j3]Jun Zheng, Qiong Wu:
Performance Modeling and Analysis of the IEEE 802.11p EDCA Mechanism for VANET. IEEE Trans. Veh. Technol. 65(4): 2673-2687 (2016) - [j2]Qiong Wu, Jun Zheng:
Performance modeling and analysis of the ADHOC MAC protocol for vehicular networks. Wirel. Networks 22(3): 799-812 (2016) - [c5]Cui Zhang, Jinbo Xiong, Qiong Wu:
An efficient CGA algorithm against DoS attack on duplicate address detection process. WCNC 2016: 1-6 - [c4]Cui Zhang, Jinbo Xiong, Qiong Wu:
An efficient CGA algorithm against DoS attack on Duplicate Address Detection process. WCNC Workshops 2016: 471-476 - 2015
- [j1]Qiong Wu, Jun Zheng:
Performance modeling and analysis of IEEE 802.11 DCF based fair channel access for vehicle-to-roadside communication in a non-saturated state. Wirel. Networks 21(1): 1-11 (2015) - [c3]Qiong Wu, Jun Zheng:
Performance modeling and analysis of the ADHOC MAC protocol for VANETs. ICC 2015: 3646-3652 - 2014
- [c2]Qiong Wu, Jun Zheng:
Performance modeling of the IEEE 802.11p EDCA mechanism for VANET. GLOBECOM 2014: 57-63 - [c1]Qiong Wu, Jun Zheng:
Performance modeling of IEEE 802.11 DCF based fair channel access for vehicular-to-roadside communication in a non-saturated state. ICC 2014: 2575-2580
Coauthor Index
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