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Ming Zeng 0004
Person information
- affiliation: Beijing Institute of Technology, Beijing, China
Other persons with the same name
- Ming Zeng — disambiguation page
- Ming Zeng 0001
— Tianjin University, School of Electrical Engineering and Automation, Tianjin, China
- Ming Zeng 0002
- Ming Zeng 0005
- Ming Zeng 0006
- Ming Zeng 0007
- Ming Zeng 0008
- Ming Zeng 0009 — Carnegie Mellon University Silicon Valley, Moffett Field, CA, USA
- Ming Zeng 0010 — Tsinghua University,Beijing, China (and 1 more)
- Ming Zeng 0011 — North China Electric Power University, School of Business Administration, Research Centre of Energy and Electricity Economics, Beijing, China
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2020 – today
- 2024
- [c7]Xiangrui Ning, Ming Zeng, Zesong Fei:
Joint Task Offloading and Service Migration in RIS Assisted Vehicular Edge Computing Network Based on Deep Reinforcement Learning. ICNC 2024: 1037-1042 - [c6]Shengping Zhou, Ming Zeng, Zesong Fei:
User Grouping with Fairness Consideration in Massive MIMO System with Varying Channel Quality. ICNC 2024: 1048-1053 - 2023
- [j11]Ming Zeng
RIS Aided NR-U and Wi-Fi Coexistence in Single Cell and Multiple Cell Networks on Unlicensed Bands. IEEE Trans. Green Commun. Netw. 7(3): 1528-1541 (2023) - 2022
- [j10]Lu Wang
Spatial-Reuse-Based Efficient Coexistence for Cellular and WiFi Systems in the Unlicensed Band. IEEE Internet Things J. 9(3): 1885-1898 (2022) - [j9]Qimei Cui
Dynamic Multichannel Access Based on Deep Reinforcement Learning in Distributed Wireless Networks. IEEE Syst. J. 16(4): 5831-5834 (2022) - 2021
- [j8]Yawen Chen
Reinforcement Learning Meets Wireless Networks: A Layering Perspective. IEEE Internet Things J. 8(1): 85-111 (2021) - [j7]Huan Yan, Tzu-Heng Lin, Ming Zeng
Discovering Usage Patterns of Mobile Video Service in the Cellular Networks. IEEE Trans. Netw. Serv. Manag. 18(2): 1789-1802 (2021) - [j6]Lu Wang
Joint Bandwidth and Transmission Opportunity Allocation for the Coexistence Between NR-U and WiFi Systems in the Unlicensed Band. IEEE Trans. Veh. Technol. 70(11): 11881-11893 (2021)
2010 – 2019
- 2019
- [j5]Ming Zeng
Data-Driven Location Selection for Battery Swapping Stations. IEEE Access 7: 133760-133771 (2019) - [j4]Ming Zeng, Hancheng Cao, Min Chen
User behaviour modeling, recommendations, and purchase prediction during shopping festivals. Electron. Mark. 29(2): 263-274 (2019) - 2018
- [j3]Jie Feng, Xinlei Chen, Rundong Gao, Ming Zeng, Yong Li:
DeepTP: An End-to-End Neural Network for Mobile Cellular Traffic Prediction. IEEE Netw. 32(6): 108-115 (2018) - [j2]Muhammad Waqas
Mobility Assisted Content Transmission For Device-to-Device Communication Underlaying Cellular Networks. IEEE Trans. Veh. Technol. 67(7): 6410-6423 (2018) - [j1]Ming Zeng, Tzu-Heng Lin
Temporal-Spatial Mobile Application Usage Understanding and Popularity Prediction for Edge Caching. IEEE Wirel. Commun. 25(3): 36-42 (2018) - [c5]Jing Wu, Ming Zeng, Xinlei Chen, Yong Li, Depeng Jin:
Characterizing and Predicting Individual Traffic Usage of Mobile Application in Cellular Network. UbiComp/ISWC Adjunct 2018: 852-861 - [c4]Yu Liu, Yong Niu
Exploiting Multi-Hop Relay to Achieve Mobility-Aware Transmission Scheduling in mmWave Systems. ICC 2018: 1-6 - [c3]Ming Zeng, Yong Li, Ke Zhang, Muhammad Waqas
Incentive Mechanism Design for Computation Offloading in Heterogeneous Fog Computing: A Contract-Based Approach. ICC 2018: 1-6 - 2017
- [c2]Huan Yan, Tzu-Heng Lin
Characterizing the Usage of Mobile Video Service in Cellular Networks. GLOBECOM 2017: 1-6 - [c1]Muhammad Waqas
Mobility-assisted device to device communications for Content Transmission. IWCMC 2017: 206-211
Coauthor Index
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