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Rongpeng Li
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Cited by
Year
Intelligent 5G: When cellular networks meet artificial intelligence
R Li, Z Zhao, X Zhou, G Ding, Y Chen, Z Wang, H Zhang
IEEE Wireless communications 24 (5), 175-183, 2017
6552017
Deep learning with long short-term memory for time series prediction
Y Hua, Z Zhao, R Li, X Chen, Z Liu, H Zhang
IEEE Communications Magazine 57 (6), 114-119, 2019
4972019
Network slicing as a service: enabling enterprises' own software-defined cellular networks
X Zhou, R Li, T Chen, H Zhang
IEEE Communications Magazine 54 (7), 146-153, 2016
3342016
Deep reinforcement learning for resource management in network slicing
R Li, Z Zhao, Q Sun, I Chih-Lin, C Yang, X Chen, M Zhao, H Zhang
IEEE Access 6, 74429-74441, 2018
3262018
Ai-based two-stage intrusion detection for software defined iot networks
J Li, Z Zhao, R Li, H Zhang
IEEE internet of Things Journal 6 (2), 2093-2102, 2018
2412018
TACT: A transfer actor-critic learning framework for energy saving in cellular radio access networks
R Li, Z Zhao, X Chen, J Palicot, H Zhang
IEEE transactions on wireless communications 13 (4), 2000-2011, 2014
1772014
GAN-powered deep distributional reinforcement learning for resource management in network slicing
Y Hua, R Li, Z Zhao, X Chen, H Zhang
IEEE Journal on Selected Areas in Communications 38 (2), 334-349, 2019
1752019
On the limits of predictability in real-world radio spectrum state dynamics: From entropy theory to 5G spectrum sharing
G Ding, J Wang, Q Wu, YD Yao, R Li, H Zhang, Y Zou
IEEE Communications Magazine 53 (7), 178-183, 2015
1502015
The learning and prediction of application-level traffic data in cellular networks
R Li, Z Zhao, J Zheng, C Mei, Y Cai, H Zhang
IEEE Transactions on Wireless Communications 16 (6), 3899-3912, 2017
1452017
The prediction analysis of cellular radio access network traffic: From entropy theory to networking practice
R Li, Z Zhao, X Zhou, J Palicot, H Zhang
IEEE Communications Magazine 52 (6), 234-240, 2014
1352014
The LSTM-based advantage actor-critic learning for resource management in network slicing with user mobility
R Li, C Wang, Z Zhao, R Guo, H Zhang
IEEE Communications Letters 24 (9), 2005-2009, 2020
1162020
Exploring trajectory prediction through machine learning methods
C Wang, L Ma, R Li, TS Durrani, H Zhang
IEEE Access 7, 101441-101452, 2019
1132019
Full-duplex cellular networks
R Li, Y Chen, GY Li, G Liu
IEEE Communications Magazine 55 (4), 184-191, 2017
922017
Deep reinforcement learning with discrete normalized advantage functions for resource management in network slicing
C Qi, Y Hua, R Li, Z Zhao, H Zhang
IEEE Communications Letters 23 (8), 1337-1341, 2019
882019
Optimal base station sleeping in green cellular networks: A distributed cooperative framework based on game theory
J Zheng, Y Cai, X Chen, R Li, H Zhang
IEEE Transactions on Wireless Communications 14 (8), 4391-4406, 2015
882015
Machine learning‐based IDS for software‐defined 5G network
J Li, Z Zhao, R Li
Iet Networks 7 (2), 53-60, 2018
872018
Semantic communication with adaptive universal transformer
Q Zhou, R Li, Z Zhao, C Peng, H Zhang
IEEE Wireless Communications Letters 11 (3), 453-457, 2021
842021
Rethinking modern communication from semantic coding to semantic communication
K Lu, Q Zhou, R Li, Z Zhao, X Chen, J Wu, H Zhang
IEEE Wireless Communications 30 (1), 158-164, 2022
752022
The predictability of cellular networks traffic
X Zhou, Z Zhao, R Li, Y Zhou, H Zhang
2012 International Symposium on Communications and Information Technologies …, 2012
652012
Traffic prediction based on random connectivity in deep learning with long short-term memory
Y Hua, Z Zhao, Z Liu, X Chen, R Li, H Zhang
2018 IEEE 88th Vehicular Technology Conference (VTC-Fall), 1-6, 2018
642018
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