INCdeep: Intelligent Network Coding with Deep Reinforcement Learning

In this paper, we address the problem of building adaptive network coding coefficients under dynamic network conditions (e.g., varying link quality and changing number of relays). In existing linear network coding solutions including deterministic network coding and random linear network coding, cod...

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Veröffentlicht in:	Annual Joint Conference of the IEEE Computer and Communications Societies S. 1 - 10
Hauptverfasser:	Wang, Qi, Liu, Jianmin, Jaffres-Runser, Katia, Wang, Yongqing, He, Chentao, Liu, Cunzhuang, Xu, Yongjun
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 10.05.2021
Schlagworte:	Adaptive systems Buildings Deep Reinforcement learning Fountain codes Heuristic algorithms Intelligent networks Network coding Reinforcement learning RLNC Simulation
ISSN:	2641-9874
Online-Zugang:	Volltext
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