└── README.md /README.md: -------------------------------------------------------------------------------- 1 | # Learning-Based 5G Resource Allocation 2 | 3 | This is a collection of papers talking about internet resource allcation by machine learning. 4 | 5 | According to the [cisco report](https://www.cisco.com/c/en/us/solutions/service-provider/visual-networking-index-vni/index.html?CAMPAIGN=MobileVNI2015&COUNTRY_SITE=us&POSITION=PR&REFERRING_SITE=SocialMedia&CREATIVE=PR+to+VNI+page&_ga=1.140386291.1192185982.1416847838#~stickynav=1), the requirement of internet resource is growing rapidly. 6 | 7 | ![cisco traffic flow report](https://www.cisco.com/c/dam/en/us/solutions/collateral/service-provider/visual-networking-index-vni/mobile-white-paper-c11-520862.doc/_jcr_content/renditions/mobile-white-paper-c11-520862_2.jpg) 8 | (cite: [cisco white paper](https://www.cisco.com/c/en/us/solutions/collateral/service-provider/visual-networking-index-vni/mobile-white-paper-c11-520862.html)) 9 | 10 | Thus, a optimal resource allcatino scheme would provde the highest utility in limited resource. 11 | 12 | However, resource allocation is a very complex problem. 13 | 14 | And we know the machine learning is a very popular way to solve this kinds of problems. 15 | 16 | In my research, I want to find a optimal resource allcation policy for the internet by machine learning. 17 | 18 | The sharing references here is for research. If any authors do not want their paper to be listed here, please contact Chen-Po Chen. (Email: cpchen840108@gmail.com) 19 | 20 | ## Research Papers 21 | 22 | ### Traffic forcasting 23 | 24 | - [A Study of Deep Learning Networks on Mobile Traffic Forecasting](http://www.ce.ncu.edu.tw/~cwhuang/publications/1570392826.pdf 25 | ) by C.-W. Huang, C.-T. Chiang, and Q. Li. ([source code](https://github.com/IPCLab/CDRF)) 26 | 27 | ### Resource management 28 | 29 | - [From 4g to 5g: Self-organized network management meets machine learning](https://arxiv.org/abs/1707.09300) by MOYSEN, Jessica; GIUPPONI, Lorenza. arXiv preprint arXiv, 2017 30 | 31 | - [Mobile Traffic Forecasting for Maximizing 5G Network Slicing Resource Utilization](http://ieeexplore.ieee.org/document/8057230/ 32 | ) by Sciancalepore, Vincenzo, et al. IEEE INFOCOM, 2017 33 | 34 | - [Resource Management with Deep Reinforcement Learning](https://dl.acm.org/citation.cfm?id=3005750) by Mao, Hongzi, et al. HotNets, 2016 35 | 36 | - [Learning radio resource management in 5G networks: Framework, opportunities and challenges](https://arxiv.org/abs/1611.10253) by Calabrese, Francesco D., et al. arXiv, 2016 37 | 38 | - [Optimizing the Power Consumption of Mobile Networks Based on Traffic Prediction](http://ieeexplore.ieee.org/document/6899228/) by S. Dawoud, A. Uzun, S. Göndör and A. Küpper, IEEE 38th Annual Computer Software and Applications Conference, 2014 39 | --------------------------------------------------------------------------------