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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Vydané v:	Annual Joint Conference of the IEEE Computer and Communications Societies s. 1 - 10
Hlavní autori:	Wang, Qi, Liu, Jianmin, Jaffres-Runser, Katia, Wang, Yongqing, He, Chentao, Liu, Cunzhuang, Xu, Yongjun
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 10.05.2021
Predmet:	Adaptive systems Buildings Deep Reinforcement learning Fountain codes Heuristic algorithms Intelligent networks Network coding Reinforcement learning RLNC Simulation
ISSN:	2641-9874
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