Adaptive modulation and coding using deep recurrent neural network

Adaptive Modulation and Coding (AMC) is a promising technique to increase the average spectral efficiency of communication links. This research proposes a novel AMC method based on a supervised deep learning approach to maximize the average spectral efficiency of OFDM wireless systems while the bit...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Telecommunication systems Jg. 81; H. 4; S. 615 - 623
Hauptverfasser:	Mohammadvaliei, Sadegh, Sebghati, Mohammadali, Zareian, Hassan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.12.2022 Springer Nature B.V
Schlagworte:	Artificial Intelligence Bit error rate Business and Management Coding Computer Communication Networks Efficiency Feature extraction Frequency response IT in Business Machine learning Modulation Probability Theory and Stochastic Processes Recurrent neural networks Signal to noise ratio Telecommunications systems Link adaptation Deep neural network OFDM Adaptive modulation and coding
ISSN:	1018-4864, 1572-9451
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!