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Open Radio Access Network (ORAN) is being developed with an aim to democratise access and lower the cost of future mobile data networks, supporting network services with various QoS requirements, such as massive IoT and URLLC.
Cloud radio access network (C-RAN): a primer
Jun Wu, Zhifeng Zhang, Yu Hong, and Yonggang Wen · 2015
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Human-level control through deep reinforcement learning
Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Andrei A Rusu, Joel Veness, Marc G Bellemare, Alex Graves, Martin Riedmiller, Andreas K Fidjeland, Georg Ostrovski, et al · 2015
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Common public radio interface (CPRI) specification v7.0, 2015
AB Ericsson et al · 2015
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Open RAN - The open road to 5G, 2017, SAMSUNG. Available at: https://image-us.samsung.com/Sams ungus/samsungbusiness/pdfs/Open-RAN-The-Open-Road-to-5G.pdf
2017
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Technical specification group radio access network: Study on new radio access technology: Radio access architecture and interfaces (release 14), 3GPP TR 38.801 v14.0.0, 2017, March 2017
2017
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Mastering the game of Go without human knowledge
David Silver, Julian Schrittwieser, Karen Simonyan, Ioannis Antonoglou, Aja Huang, Arthur Guez, Thomas Hubert, Lucas Baker, Matthew Lai, Adrian Bolton, et al · 2017
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Mastering chess and shogi by self-play with a general reinforcement learning algorithm
David Silver, Thomas Hubert, Julian Schrittwieser, Ioannis Antonoglou, Matthew Lai, Arthur Guez, Marc Lanctot, Laurent Sifre, Dharshan Kumaran, Thore Graepel, et al · 2017
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Thinking fast and slow with deep learning and tree search
Thomas Anthony, Zheng Tian, and David Barber · 2017
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A three-dimensional virtual resource scheduling method for energy saving in cloud computing
Wei Zhu, Yi Zhuang, and Long Zhang · 2017
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O-RAN: Towards an Open and Smart RAN, O-RAN Alliance White Paper, October 2018, O-RAN Alliance. Avaiable at: https://static1.squarespace.com/static/5ad774cce74940d7115044b0/t/5bc79b371905f4197055e 8c6/1539808057078/O-RAN+WP+FInal+181017.pdf
2018
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A comprehensive survey of network function virtualization
Bo Yi, Xingwei Wang, Keqin Li, Min Huang, et al · 2018
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Deep reinforcement learning for user association and resource allocation in heterogeneous networks
Nan Zhao, Ying-Chang Liang, Dusit Niyato, Yiyang Pei, and Yunhao Jiang · 2018
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Ranked reward: Enabling self-play reinforcement learning for combinatorial optimization
Alexandre Laterre, Yunguan Fu, Mohamed Khalil Jabri, Alain-Sam Cohen, David Kas, Karl Hajjar, Torbjorn S Dahl, Amine Kerkeni, and Karim Beguir · 2018
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A survey of the functional splits proposed for 5G mobile crosshaul networks
Line MP Larsen, Aleksandra Checko, and Henrik L Christiansen · 2018
Cited alongside, same era.
Impala: Scalable distributed deep-RL with importance weighted actor-learner architectures
Lasse Espeholt, Hubert Soyer, Remi Munos, Karen Simonyan, Volodymir Mnih, Tom Ward, Yotam Doron, Vlad Firoiu, Tim Harley, Iain Dunning, et al · 2018
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A multi-task selected learning approach for solving new type 3d bin packing problem
Haoyuan Hu, Lu Duan, Xiaodong Zhang, Yinghui Xu, and Jiangwen Wei · 2018
Cited alongside, same era.
Systematic resource allocation in cloud RAN with caching as a service under two timescales
Jianhua Tang, Tony QS Quek, Tsung-Hui Chang, and Byonghyo Shim · 2019
Cited alongside, same era.
Programmable hierarchical C-RAN: From task scheduling to resource allocation
Wenchao Xia, Tony QS Quek, Jun Zhang, Shi Jin, and Hongbo Zhu · 2019
Learning self-game-play agents for combinatorial optimization problems
Ruiyang Xu and Karl Lieberherr · 2019
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Solving NP-hard problems on graphs by reinforcement learning without domain knowledge
Kenshin Abe, Issei Sato, and Masashi Sugiyama · 2019
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Deploying 5G networks, 2020, Nokia corporation. Available at: https://www.nokia.com/networks/5g/mo bile/5g-resources/
2020
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The evolution of radio access network towards open-ran: Challenges and opportunities
Sameer Kumar Singh, Rohit Singh, and Brijesh Kumbhani · 2020
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Resource allocation for secure urllc in mission-critical iot scenarios
Hong Ren, Cunhua Pan, Yansha Deng, Maged Elkashlan, and Arumugam Nallanathan · 2020
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Cited alongside, same era.
Cloud-Radio Access Networks: design, optimization and algorithms
Niezi Mharsi · 2019
Cited alongside, same era.
Grandmaster level in StarCraft II using multi-agent reinforcement learning
Oriol Vinyals, Igor Babuschkin, Wojciech M Czarnecki, Michaël Mathieu, Andrew Dudzik, Junyoung Chung, David H Choi, Richard Powell, Timo Ewalds, Petko Georgiev, et al · 2019
Cited alongside, same era.
Applications of deep reinforcement learning in communications and networking: A survey
Nguyen Cong Luong, Dinh Thai Hoang, Shimin Gong, Dusit Niyato, Ping Wang, Ying-Chang Liang, and Dong In Kim · 2019
Cited alongside, same era.
Deep reinforcement learning for offloading and resource allocation in vehicle edge computing and networks
Yi Liu, Huimin Yu, Shengli Xie, and Yan Zhang · 2019
Cited alongside, same era.
Smart resource allocation for mobile edge computing: A deep reinforcement learning approach
Jiadai Wang, Lei Zhao, Jiajia Liu, and Nei Kato · 2019
Cited alongside, same era.
Deep reinforcement learning with discrete normalized advantage functions for resource management in network slicing
Chen Qi, Yuxiu Hua, Rongpeng Li, Zhifeng Zhao, and Honggang Zhang · 2019
Cited alongside, same era.
Data-driven dynamic resource scheduling for network slicing: A deep reinforcement learning approach
Haozhe Wang, Yulei Wu, Geyong Min, Jie Xu, and Pengcheng Tang · 2019
Cited alongside, same era.
Machine learning for resource management in cellular and iot networks: Potentials, current solutions, and open challenges
Fatima Hussain, Syed Ali Hassan, Rasheed Hussain, and Ekram Hossain · 2020
Later among the works it cites.
Parallel wireless creates OpenRAN “All G” radio access network architecture, June 2020, Parallel wireless white paper. Availabel at: https://www.parallelwireless.com/wp-content/uploads/parallel-wireless-creates-openran-all-g-radio-access-network.pdf
2020
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Survivable task allocation in cloud radio access networks with mobile edge computing
Song Yang, Nan He, Fan Li, Stojan Trajanovski, Xu Chen, Yu Wang, and Xiaoming Fu · 2020
Later among the works it cites.
Dynamic spectrum interaction of UAV flight formation communication with priority: A deep reinforcement learning approach
Yun Lin, Meiyu Wang, Xianglong Zhou, Guoru Ding, and Shiwen Mao · 2020
Later among the works it cites.
Machine learning for combinatorial optimization: a methodological tour d’horizon
Yoshua Bengio, Andrea Lodi, and Antoine Prouvost · 2020
Later among the works it cites.
Reinforcement learning for combinatorial optimization: A survey
Nina Mazyavkina, Sergey Sviridov, Sergei Ivanov, and Evgeny Burnaev · 2020
Later among the works it cites.
Tackling Morpion Solitaire with AlphaZero-like ranked reward reinforcement learning
Hui Wang, Mike Preuss, Michael Emmerich, and Aske Plaat · 2020
Later among the works it cites.