Efficient wireless network selection by using multi-armed bandit algorithm for mobile terminals

[1]  Stephen V. Hanly,et al.  Joint Downlink User Association and Interference Management in Two-Tier HetNets With Dynamic Resource Partitioning , 2017, IEEE Transactions on Vehicular Technology.

[2]  Langford B. White,et al.  Reinforcement Learning With Network-Assisted Feedback for Heterogeneous RAT Selection , 2017, IEEE Transactions on Wireless Communications.

[3]  Joseph Mitola,et al.  Cognitive radio: making software radios more personal , 1999, IEEE Wirel. Commun..

[4]  H. Vincent Poor,et al.  Cognitive Medium Access: Exploration, Exploitation, and Competition , 2007, IEEE Transactions on Mobile Computing.

[5]  Mikio Hasegawa,et al.  Improving throughput using multi-armed bandit algorithm for wireless LANs , 2018 .

[6]  H. Robbins.  Some aspects of the sequential design of experiments , 1952 .

[7]  Richard S. Sutton,et al.  Reinforcement Learning: An Introduction , 1998, IEEE Trans. Neural Networks.

[8]  Rajarathnam Chandramouli,et al.  Software defined access for HetNets , 2016, IEEE Communications Magazine.

[9]  P. Dayan,et al.  Cortical substrates for exploratory decisions in humans , 2006, Nature.

[10]  Mung Chiang,et al.  RAT selection games in HetNets , 2013, 2013 Proceedings IEEE INFOCOM.

[11]  Hai Jiang,et al.  Medium access in cognitive radio networks: A competitive multi-armed bandit framework , 2008, 2008 42nd Asilomar Conference on Signals, Systems and Computers.

[12]  Song-Ju Kim,et al.  Amoeba-inspired algorithm for cognitive medium access , 2014 .

[13]  Peter Auer,et al.  Finite-time Analysis of the Multiarmed Bandit Problem , 2002, Machine Learning.

[14]  Mikio Hasegawa,et al.  Wireless network optimization method based on cognitive cycle using machine learning , 2018 .

[15]  Jing Ma,et al.  A Machine-Learning-Based Channel Assignment Algorithm for IoT , 2019, 2019 International Conference on Artificial Intelligence in Information and Communication (ICAIIC).

[16]  Song-Ju Kim,et al.  Efficient decision-making by volume-conserving physical object , 2014, ArXiv.

[17]  Jeffrey G. Andrews,et al.  Joint Resource Partitioning and Offloading in Heterogeneous Cellular Networks , 2013, IEEE Transactions on Wireless Communications.

[18]  Simon Haykin,et al.  Cognitive radio: brain-empowered wireless communications , 2005, IEEE Journal on Selected Areas in Communications.

[19]  Zhu Han,et al.  Intelligent User-Centric Network Selection: A Model-Driven Reinforcement Learning Framework , 2019, IEEE Access.

[20]  Mung Chiang,et al.  HetNets Selection by Clients: Convergence, Efficiency, and Practicality , 2017, IEEE/ACM Transactions on Networking.