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Adaptive Edge Resource Allocation for Maximizing the Number of Tasks Completed on Time: A Deep Q-Learning Approach
Communications in Computer and Information Science - Blockchain and Trustworthy Systems
◽
10.1007/978-981-15-9213-3_28
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2020
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pp. 355-367
Author(s):
Shanshan Wu
◽
Qibo Sun
◽
Ao Zhou
◽
Shangguang Wang
◽
Tao Lei
Keyword(s):
Resource Allocation
◽
Learning Approach
◽
Q Learning
Download Full-text
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A cooperative Q-learning approach for distributed resource allocation in multi-user femtocell networks
2014 IEEE Wireless Communications and Networking Conference (WCNC)
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10.1109/wcnc.2014.6952410
◽
2014
◽
Cited By ~ 13
Author(s):
Hussein Saad
◽
Amr Mohamed
◽
Tamer ElBatt
Keyword(s):
Resource Allocation
◽
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◽
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◽
Distributed Resource Allocation
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A docitive Q-learning approach towards joint resource allocation and power control in self-organised femtocell networks
Transactions on Emerging Telecommunications Technologies
◽
10.1002/ett.2800
◽
2014
◽
Vol 26
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◽
pp. 216-230
◽
Cited By ~ 14
Author(s):
Adnan Shahid
◽
Saleem Aslam
◽
Hyung Seok Kim
◽
Kyung-Geun Lee
Keyword(s):
Resource Allocation
◽
Power Control
◽
Learning Approach
◽
Femtocell Networks
◽
Q Learning
◽
Joint Resource Allocation
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QoS-Aware Resource Allocation of Two-tier HetNet: A Q-learning Approach
2019 26th International Conference on Telecommunications (ICT)
◽
10.1109/ict.2019.8798829
◽
2019
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Cited By ~ 1
Author(s):
Waleed AlSobhi
◽
A. Hamid Aghvami
Keyword(s):
Resource Allocation
◽
Learning Approach
◽
Q Learning
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A self-organizing resource allocation strategy based on Q-learning approach in ultra-dense networks
2016 IEEE International Conference on Network Infrastructure and Digital Content (IC-NIDC)
◽
10.1109/icnidc.2016.7974555
◽
2016
◽
Cited By ~ 3
Author(s):
Ming Chen
◽
Ye Hua
◽
Xinyu Gu
◽
Shiwen Nie
◽
Zhiqiang Fan
Keyword(s):
Resource Allocation
◽
Learning Approach
◽
Allocation Strategy
◽
Q Learning
◽
Dense Networks
◽
Resource Allocation Strategy
◽
Self Organizing
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Resource Allocation In IRSs Aided MISO-NOMA Networks: A Machine Learning Approach
GLOBECOM 2020 - 2020 IEEE Global Communications Conference
◽
10.1109/globecom42002.2020.9348009
◽
2020
◽
Author(s):
Xinyu Gao
◽
Yuanwei Liu
◽
Xiao Liu
◽
Zhijin Qin
Keyword(s):
Machine Learning
◽
Resource Allocation
◽
Learning Approach
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Machine Learning Approach
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Resource Allocation in Uplink NOMA-IoT Networks: A Reinforcement-Learning Approach
IEEE Transactions on Wireless Communications
◽
10.1109/twc.2021.3065523
◽
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pp. 1-1
Author(s):
Waleed Ahsan
◽
Wenqiang Yi
◽
Zhijin Qin
◽
Yuanwei Liu
◽
Arumugam Nallanathan
Keyword(s):
Resource Allocation
◽
Reinforcement Learning
◽
Learning Approach
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A Q-learning based Resource Allocation for Downlink Non-Orthogonal Multiple Access Systems Considering QoS
IEEE Access
◽
10.1109/access.2021.3080283
◽
2021
◽
pp. 1-1
Author(s):
Qi Zhai
◽
Miodrag Bolic
◽
Yong Li
◽
Wei Cheng
◽
Chenxi Liu
Keyword(s):
Resource Allocation
◽
Multiple Access
◽
Q Learning
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Collaborative Computation Offloading and Resource Allocation in Multi-UAV Assisted IoT Networks: A Deep Reinforcement Learning Approach
IEEE Internet of Things Journal
◽
10.1109/jiot.2021.3063188
◽
2021
◽
pp. 1-1
Author(s):
Abegaz Mohammed Seid
◽
Gordon Owusu Boateng
◽
Stephen Anokye
◽
Thomas Kwantwi
◽
Guolin Sun
◽
...
Keyword(s):
Resource Allocation
◽
Reinforcement Learning
◽
Computation Offloading
◽
Learning Approach
◽
Multi Uav
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DDQP: A Double Deep Q-Learning Approach to Online Fault-tolerant SFC Placement
IEEE Transactions on Network and Service Management
◽
10.1109/tnsm.2021.3049298
◽
2021
◽
pp. 1-1
Author(s):
Lei Wang
◽
Weixi Mao
◽
Jin Zhao
◽
Yuedong Xu
Keyword(s):
Fault Tolerant
◽
Learning Approach
◽
Q Learning
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Priority-based Joint Resource Allocation with Deep Q-Learning for Heterogeneous NOMA Systems
IEEE Access
◽
10.1109/access.2021.3065314
◽
2021
◽
pp. 1-1
Author(s):
Sifat Rezwan
◽
Wooyeol Choi
Keyword(s):
Resource Allocation
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Q Learning
◽
Joint Resource Allocation
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