Routing or Computing? The Paradigm Shift Towards Intelligent Computer Network Packet Transmission Based on Deep Learning

By Bomin Mao, Zubair Muhammad Fadlullah, Fengxiao Tang, Nei Kato, Osamu Akashi, Takeru Inoue, Kimihiro Mizutani. IEEE transactions on computers, 2017

312 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications, Hardware and Architecture

View Paper: https://www.semanticscholar.org/paper/fea535fd5abce9b47ebeb5d73ac3d70325e6c686

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Citations in the corpus

Optimizing Space-Air-Ground Integrated Networks by Artificial Intelligence (2018, methodology): “To enable the deployment of the proposed deep learning based routing strategy, in [7], we analyzed the Graphics Processing Unit (GPU) accelerated Software Deﬁned Routers (SDRs).”
Deep Learning for Intelligent Wireless Networks: A Comprehensive Survey (2018, methodology): “[72] integrated this method with programmable routers and achieved good performances.”
State-of-the-Art Deep Learning: Evolving Machine Intelligence Toward Tomorrow’s Intelligent Network Traffic Control Systems (2017, background): “However, it is worth noting that the deep-learning application for the network trafﬁc control system is still at a preliminary stage of implementation, and therefore, various issues need to be considered as future research issues [212].”
Ten Challenges in Advancing Machine Learning Technologies toward 6G (2020, methodology): “Computing System: Since machine learning relies on massive datasets, this method is usually related to more computation overhead than traditional strategies [4].”
Deep Learning in Mobile and Wireless Networking: A Survey (2018, methodology): “Network Control [166], [259], [287]–[298], [298]–[319]”
Unsupervised Machine Learning for Networking: Techniques, Applications and Research Challenges (2017, methodology): “The routing scheme proposed in [279] outperforms conventional open shortest path first (OSPF)”
Deep Learning for an Effective Nonorthogonal Multiple Access Scheme (2018, unknown): “Furthermore, DL has been adopted in traffic control systems, the encouraging performance of which has been demonstrated [22]–[25].”
Future Intelligent and Secure Vehicular Network Toward 6G: Machine-Learning Approaches (2020, background): “Then, a GPU-accelerated deep-learning algorithm for traffic control is introduced for a software-defined router (SDR)-enabled dynamic network [97], [115].”
On Removing Routing Protocol from Future Wireless Networks: A Real-time Deep Learning Approach for Intelligent Traffic Control (2018, background): “Furthermore, the work in [8] explored current Software Defined Router (SDR) architectures and demonstrated how the deep learning technique can be harnessed to compute routing paths.”
RouteNet: Leveraging Graph Neural Networks for Network Modeling and Optimization in SDN (2019, unknown): “Relevant research efforts are being devoted to apply neural networks to model computer networks [5] and using such models for network optimization [6], [7], [3].”