Optimizing Throughput Performance in Distributed MIMO Wi-Fi Networks Using Deep Reinforcement Learning
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Dipankar Raychaudhuri | Narayan B. Mandayam | Klaus Doppler | Eric Torkildson | Enrico-Henrik Rantala | Neelakantan Nurani Krishnan | N. Mandayam | D. Raychaudhuri | E. Torkildson | K. Doppler | Enrico Rantala | Neelakantan Nurani Krishnan
[1] Joseph A. Paradiso,et al. The gesture recognition toolkit , 2014, J. Mach. Learn. Res..
[2] Wojciech Zaremba,et al. OpenAI Gym , 2016, ArXiv.
[3] Olivier Buffet,et al. Policy‐Gradient Algorithms , 2013 .
[4] Ying-Chang Liang,et al. Applications of Deep Reinforcement Learning in Communications and Networking: A Survey , 2018, IEEE Communications Surveys & Tutorials.
[5] Ann Nowé,et al. Multi-objective reinforcement learning using sets of pareto dominating policies , 2014, J. Mach. Learn. Res..
[6] Xianfu Chen,et al. Deep Reinforcement Learning for Resource Management in Network Slicing , 2018, IEEE Access.
[7] Peter Dayan,et al. Q-learning , 1992, Machine Learning.
[8] Jitendra Malik,et al. Normalized cuts and image segmentation , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[9] Mustafa Cenk Gursoy,et al. A deep reinforcement learning-based framework for content caching , 2017, 2018 52nd Annual Conference on Information Sciences and Systems (CISS).
[10] Demis Hassabis,et al. Mastering the game of Go with deep neural networks and tree search , 2016, Nature.
[11] Alun D. Preece,et al. Interpretability of deep learning models: A survey of results , 2017, 2017 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computed, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI).
[12] Xiao Zhang,et al. Autonomous navigation of UAV in large-scale unknown complex environment with deep reinforcement learning , 2017, 2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP).
[13] Richard S. Sutton,et al. Reinforcement Learning: An Introduction , 1998, IEEE Trans. Neural Networks.
[14] Dongming Wang,et al. An improved dynamic clustering algorithm for multi-user distributed antenna system , 2009, 2009 International Conference on Wireless Communications & Signal Processing.
[15] Jeffrey G. Andrews,et al. Networked MIMO with clustered linear precoding , 2008, IEEE Transactions on Wireless Communications.
[16] Soung Chang Liew,et al. Deep-Reinforcement Learning Multiple Access for Heterogeneous Wireless Networks , 2017, 2018 IEEE International Conference on Communications (ICC).
[17] Nan Zhao,et al. Integrated Networking, Caching, and Computing for Connected Vehicles: A Deep Reinforcement Learning Approach , 2018, IEEE Transactions on Vehicular Technology.
[18] Walid Saad,et al. Interference Management for Cellular-Connected UAVs: A Deep Reinforcement Learning Approach , 2018, IEEE Transactions on Wireless Communications.
[19] Giuseppe Caire,et al. Achieving high data rates in a distributed MIMO system , 2012, Mobicom '12.
[20] Shane Legg,et al. Human-level control through deep reinforcement learning , 2015, Nature.
[21] Armin Dekorsy,et al. Self-Organizing Adaptive Clustering for Cooperative Multipoint Transmission , 2011, 2011 IEEE 73rd Vehicular Technology Conference (VTC Spring).
[22] David Gesbert,et al. A Dynamic Clustering Approach in Wireless Networks with Multi-Cell Cooperative Processing , 2008, 2008 IEEE International Conference on Communications.
[23] David López-Pérez,et al. IEEE 802.11be Extremely High Throughput: The Next Generation of Wi-Fi Technology Beyond 802.11ax , 2019, IEEE Communications Magazine.
[24] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[25] Ekram Hossain,et al. Channel assignment schemes for infrastructure-based 802.11 WLANs: A survey , 2010, IEEE Communications Surveys & Tutorials.
[26] Ezzeldin Hamed,et al. Chorus: truly distributed distributed-MIMO , 2018, SIGCOMM.
[27] Richard Evans,et al. Deep Reinforcement Learning in Large Discrete Action Spaces , 2015, 1512.07679.
[28] Marcin Andrychowicz,et al. Hindsight Experience Replay , 2017, NIPS.
[29] Ming-Syan Chen,et al. User-Centric Network MIMO With Dynamic Clustering , 2017, IEEE/ACM Transactions on Networking.
[30] Ivan Seskar,et al. D-MIMOO – Distributed MIMO for Office Wi-Fi Networks , 2018, 2018 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN).
[31] Dina Katabi,et al. Real-time Distributed MIMO Systems , 2016, SIGCOMM.
[32] William A. Arbaugh,et al. Weighted coloring based channel assignment for WLANs , 2005, MOCO.
[33] Huaiyu Dai,et al. Some Analysis in Distributed MIMO Systems , 2007, J. Commun..
[34] Chi Harold Liu,et al. Experience-driven Networking: A Deep Reinforcement Learning based Approach , 2018, IEEE INFOCOM 2018 - IEEE Conference on Computer Communications.
[35] Peter Stone,et al. Reinforcement learning from human reward: Discounting in episodic tasks , 2012, 2012 IEEE RO-MAN: The 21st IEEE International Symposium on Robot and Human Interactive Communication.
[36] Yishay Mansour,et al. Policy Gradient Methods for Reinforcement Learning with Function Approximation , 1999, NIPS.
[37] R. Jain. Throughput fairness index : An explanation , 1999 .
[38] Dusit Niyato,et al. Deep Reinforcement Learning for Mobile 5G and Beyond: Fundamentals, Applications, and Challenges , 2019, IEEE Vehicular Technology Magazine.
[39] Ann Nowé,et al. Scalarized multi-objective reinforcement learning: Novel design techniques , 2013, 2013 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL).
[40] Xianfu Chen,et al. Deep Reinforcement Learning for Network Slicing , 2018, ArXiv.
[41] Kang G. Shin,et al. NEMOx: scalable network MIMO for wireless networks , 2013, MobiCom.
[42] Demis Hassabis,et al. Mastering the game of Go without human knowledge , 2017, Nature.
[43] Yuval Tassa,et al. Continuous control with deep reinforcement learning , 2015, ICLR.
[44] Li Fei-Fei,et al. Progressive Neural Architecture Search , 2017, ECCV.