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Dynamic gNodeB Sleep Control for Energy-Conserving Radio Access Network
Journal article
Shen, Pengfei, Shao, Yulin, Cao, Qi, Lu, Lu. Dynamic gNodeB Sleep Control for Energy-Conserving Radio Access Network[J]. IEEE Transactions on Cognitive Communications and Networking, 2024, 10(4), 1371 - 1385.
Authors:
Shen, Pengfei
;
Shao, Yulin
;
Cao, Qi
;
Lu, Lu
Favorite
|
TC[WOS]:
0
TC[Scopus]:
1
IF:
7.4
/
6.9
|
Submit date:2024/05/16
Base Station Sleep Control
Ng-ran
Markov Decision Process
Greedy Policy
Index Policy
Utilizing Deep Reinforcement Learning for High-Voltage Distribution Network Expansion Planning
Conference paper
Ou, Zhongxi, Zhang, Liang, Zhao, Xiaoyan, Lan, Wei, Liu, Dundun, Liu, Weifeng. Utilizing Deep Reinforcement Learning for High-Voltage Distribution Network Expansion Planning[C]:Institute of Electrical and Electronics Engineers Inc., 2024, 725-730.
Authors:
Ou, Zhongxi
;
Zhang, Liang
;
Zhao, Xiaoyan
;
Lan, Wei
;
Liu, Dundun
; et al.
Favorite
|
TC[Scopus]:
0
|
Submit date:2024/09/03
Advantage Actor-critic
Deep Reinforcement Learning
Distribution Network Expansion
Markov Decision Process
Freshness-Aware Resource Allocation for Non-Orthogonal Wireless-Powered IoT Networks
Conference paper
Chen, Yunfeng, Liu, Yong, Xiao, Jinhao, Wu, Qunying, Zhang, Han, Hou, Fen. Freshness-Aware Resource Allocation for Non-Orthogonal Wireless-Powered IoT Networks[C]:IEEE, 2024.
Authors:
Chen, Yunfeng
;
Liu, Yong
;
Xiao, Jinhao
;
Wu, Qunying
;
Zhang, Han
; et al.
Favorite
|
TC[WOS]:
0
TC[Scopus]:
0
|
Submit date:2024/08/05
Age Of Information
Markov Decision Process
Non-orthogonal Multiple Access
Wireless-powered Iot Network
BLER Analysis and Optimal Power Allocation of HARQ-IR for Mission-Critical IoT Communications
Journal article
He, Fuchao, Shi, Zheng, Zhou, Binggui, Yang, Guanghua, Li, Xiaofan, Ye, Xinrong, Ma, Shaodan. BLER Analysis and Optimal Power Allocation of HARQ-IR for Mission-Critical IoT Communications[J]. IEEE Internet of Things Journal, 2024.
Authors:
He, Fuchao
;
Shi, Zheng
;
Zhou, Binggui
;
Yang, Guanghua
;
Li, Xiaofan
; et al.
Favorite
|
TC[WOS]:
0
TC[Scopus]:
1
IF:
8.2
/
9.0
|
Submit date:2024/09/03
Block Error Rate
Decoding
Deep Reinforcement Learning
Fading Channels
Harq-ir
Internet Of Things
Markov Decision Process
Reliability Theory
Resource Management
Short Packet Communications
Signal To Noise Ratio
Throughput
A Reinforcement Learning Based Coordinated but Differentiated Load Frequency Control Method With Heterogeneous Frequency Regulation Resources
Journal article
YuxinMa, Zechun Hu, Yonghua Song. A Reinforcement Learning Based Coordinated but Differentiated Load Frequency Control Method With Heterogeneous Frequency Regulation Resources[J]. IEEE Transactions on Power Systems, 2023, 39(1), 2239-2250.
Authors:
YuxinMa
;
Zechun Hu
;
Yonghua Song
Favorite
|
TC[WOS]:
3
TC[Scopus]:
4
IF:
6.5
/
7.4
|
Submit date:2023/08/03
Delays
Energy Storage Systems
Frequency Control
Generators
Load Frequency Control
Mathematical Models
Partially Observable Markov Decision Process
Power System Stability
Proximal Policy Optimization
Regulation
Renewable Energy Resources
Renewable Energy Sources
A Deep Reinforcement Learning Recommender System With Multiple Policies for Recommendations
Journal article
Mingsheng Fu, Liwei Huang, Ananya Rao, Athirai A. Irissappane, Jie Zhang, Hong Qu. A Deep Reinforcement Learning Recommender System With Multiple Policies for Recommendations[J]. IEEE Transactions on Industrial Informatics, 2022, 19(2), 2049-2061.
Authors:
Mingsheng Fu
;
Liwei Huang
;
Ananya Rao
;
Athirai A. Irissappane
;
Jie Zhang
; et al.
Favorite
|
TC[WOS]:
6
TC[Scopus]:
7
IF:
11.7
/
11.4
|
Submit date:2023/02/22
Deep Reinforcement Learning (Drl)
Multitask Markov Decision Process (Mdp)
Recommender System
Reinforcement Learning Enabled Dynamic Resource Allocation in the Internet of Vehicles
Journal article
Liang, Hongbin, Zhang, Xiaohui, Hong, Xintao, Zhang, Zongyuan, Li, Mushu, Hu, Guangdi, Hou, Fen. Reinforcement Learning Enabled Dynamic Resource Allocation in the Internet of Vehicles[J]. IEEE Transactions on Industrial Informatics, 2021, 17(7), 4957-4967.
Authors:
Liang, Hongbin
;
Zhang, Xiaohui
;
Hong, Xintao
;
Zhang, Zongyuan
;
Li, Mushu
; et al.
Favorite
|
TC[WOS]:
28
TC[Scopus]:
37
IF:
11.7
/
11.4
|
Submit date:2021/12/08
Hierarchical Architecture
Internet Of Vehicles (Iov)
Reinforcement Learning
Resource Allocation
Semi-markov Decision Process (Smdp)
A systematic literature review on intelligent automation: Aligning concepts from theory, practice, and future perspectives
Journal article
Ng,Kam K.H., Chen,Chun Hsien, Lee,C. K.M., Jiao,Jianxin (Roger), Yang,Zhi Xin. A systematic literature review on intelligent automation: Aligning concepts from theory, practice, and future perspectives[J]. ADVANCED ENGINEERING INFORMATICS, 2021, 47, 101246.
Authors:
Ng,Kam K.H.
;
Chen,Chun Hsien
;
Lee,C. K.M.
;
Jiao,Jianxin (Roger)
;
Yang,Zhi Xin
Favorite
|
TC[WOS]:
85
TC[Scopus]:
124
IF:
8.0
/
8.2
|
Submit date:2021/03/11
Adaptive Decision Making
Artificial Intelligence
Innovative Robotic Process Automation
Intelligent Automation
Ranking of Choice Cues for Smartphones Using the Best-Worst Scaling Method
Journal article
Luis Pinto, Erdener Kaynak, Clement S.F. Chow, Lida L. Zhang. Ranking of Choice Cues for Smartphones Using the Best-Worst Scaling Method[J]. Asia Pacific Journal of Marketing and Logistics, 2019, 31(1), 223-245.
Authors:
Luis Pinto
;
Erdener Kaynak
;
Clement S.F. Chow
;
Lida L. Zhang
Favorite
|
TC[WOS]:
9
TC[Scopus]:
8
IF:
3.9
/
4.6
|
Submit date:2019/09/17
Smartphone
Chinese Context
Best-worst Scaling Method
Buying Decision Process
Product Attributes
Ranking Of Importance
Risk-sensitive semi-Markov decision processes with general utilities and multiple criteria
Journal article
YONGHUI HUANG, ZHAOTONG LIAN, XIANPING GUO. Risk-sensitive semi-Markov decision processes with general utilities and multiple criteria[J]. Advances in Applied Probability, 2018, 50(3), 783-804.
Authors:
YONGHUI HUANG
;
ZHAOTONG LIAN
;
XIANPING GUO
Favorite
|
TC[WOS]:
7
TC[Scopus]:
7
IF:
0.9
/
1.1
|
Submit date:2019/08/01
Expected Utility
Finite-horizon Cost
Linear Program
Occupation Measure
Semi-markov Decision Process