A Novel Machine Learning Approach for Link Adaptation in 5G Wireless Networks

This study addresses a Machine Learning (ML) based Link Adaptation (LA) scheme for 5G New Radio (NR) wireless networks, which aims to improve the system throughput by selecting the best possible choice of the Modulation Coding Scheme (MCS). This work proposes a Deep Neural Network(DNN) based regress...

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Veröffentlicht in:	2020 2nd PhD Colloquium on Ethically Driven Innovation and Technology for Society (PhD EDITS) S. 1 - 2
Hauptverfasser:	Pati, Preeti Samhita, Sahoo, Shubham Somnath, Krishnaswamy, Dilip, Datta, Raja
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 08.11.2020
Schlagworte:	Adaptation models Deep Neural Network (DNN) Interference Link Adaptation (LA) Mathematical model Modulation Modulation Coding Scheme (MCS) Signal to noise ratio Training data Wireless networks
Online-Zugang:	Volltext
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