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Mushu Li
Mushu Li
Toronto Metropolitan University
在 torontomu.ca 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Energy-efficient UAV-assisted mobile edge computing: Resource allocation and trajectory optimization
M Li, N Cheng, J Gao, Y Wang, L Zhao, X Shen
IEEE Transactions on Vehicular Technology 69 (3), 3424-3438, 2020
3612020
AI-assisted network-slicing based next-generation wireless networks
X Shen, J Gao, W Wu, K Lyu, M Li, W Zhuang, X Li, J Rao
IEEE Open Journal of Vehicular Technology 1, 45-66, 2020
2702020
Holistic network virtualization and pervasive network intelligence for 6G
X Shen, J Gao, W Wu, M Li, C Zhou, W Zhuang
IEEE Communications Surveys & Tutorials 24 (1), 1-30, 2021
1972021
Deep reinforcement learning for collaborative edge computing in vehicular networks
M Li, J Gao, L Zhao, X Shen
IEEE Transactions on Cognitive Communications and Networking 6 (4), 1122-1135, 2020
1822020
AI-native network slicing for 6G networks
W Wu, C Zhou, M Li, H Wu, H Zhou, N Zhang, XS Shen, W Zhuang
IEEE Wireless Communications 29 (1), 96-103, 2022
1472022
Dynamic RAN slicing for service-oriented vehicular networks via constrained learning
W Wu, N Chen, C Zhou, M Li, X Shen, W Zhuang, X Li
IEEE Journal on Selected Areas in Communications 39 (7), 2076-2089, 2020
1242020
Split learning over wireless networks: Parallel design and resource management
W Wu, M Li, K Qu, C Zhou, X Shen, W Zhuang, X Li, W Shi
IEEE Journal on Selected Areas in Communications 41 (4), 1051-1066, 2023
712023
An SMDP-based prioritized channel allocation scheme in cognitive enabled vehicular ad hoc networks
M Li, L Zhao, H Liang
IEEE Transactions on Vehicular Technology 66 (9), 7925-7933, 2017
572017
Adaptive computing scheduling for edge-assisted autonomous driving
M Li, J Gao, L Zhao, X Shen
IEEE Transactions on Vehicular Technology 70 (6), 5318-5331, 2021
532021
Contention intensity based distributed coordination for V2V safety message broadcast
J Gao, M Li, L Zhao, X Shen
IEEE Transactions on Vehicular Technology 67 (12), 12288-12301, 2018
522018
Reinforcement learning enabled dynamic resource allocation in the internet of vehicles
H Liang, X Zhang, X Hong, Z Zhang, M Li, G Hu, F Hou
IEEE Transactions on Industrial Informatics 17 (7), 4957-4967, 2020
362020
Water-filling exact solutions for load balancing of smart power grid systems
P He, M Li, L Zhao, B Venkatesh, H Li
IEEE Transactions on Smart Grid 9 (2), 1397-1407, 2016
302016
MAC for machine-type communications in industrial IoT—Part I: Protocol design and analysis
J Gao, W Zhuang, M Li, X Shen, X Li
IEEE Internet of Things Journal 8 (12), 9945-9957, 2021
292021
Dynamic load balancing applying water-filling approach in smart grid systems
M Li, P He, L Zhao
IEEE Internet of Things Journal 4 (1), 247-257, 2017
272017
Autonomous PEV charging scheduling using Dyna-Q reinforcement learning
F Wang, J Gao, M Li, L Zhao
IEEE Transactions on Vehicular Technology 69 (11), 12609-12620, 2020
262020
MAC for machine-type communications in industrial IoT—Part II: Scheduling and numerical results
J Gao, M Li, W Zhuang, X Shen, X Li
IEEE Internet of Things Journal 8 (12), 9958-9969, 2020
222020
Slicing-based artificial intelligence service provisioning on the network edge: Balancing AI service performance and resource consumption of data management
M Li, J Gao, C Zhou, XS Shen, W Zhuang
IEEE Vehicular Technology Magazine 16 (4), 16-26, 2021
202021
Towards Immersive Communications in 6G
XS Shen, J Gao, M Li, C Zhou, S Hu, M He, W Zhuang
Frontiers in Computer Science 4, 1-31, 2023
162023
Energy management framework for mobile vehicular electric storage
N Chen, J Ma, M Li, M Wang, X Shen
IEEE Network 33 (6), 148-155, 2019
162019
Digital twin-empowered network planning for multi-tier computing
C Zhou, J Gao, M Li, XS Shen, W Zhuang
Journal of Communications and Information Networks 7 (3), 221-238, 2022
152022
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