Adaptive Successive Interference Cancellation using Deep Learning for High Altitude Platform Station in Various K-Rician Channel

This research proposed the Adaptive-Successive Interference Cancellation (ASIC) method, which enlisted the performance and power efficiency from Successive Interference Cancellation (SIC) conventional. We employed deep learning as new technology for wireless communications. We have simulated for Hig...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	IAENG international journal of computer science 2022-05, Vol.49 (2), p.495
Hauptverfasser:	Mahyastuty, Veronica Windha, Iskandar, Hendrawan, Arifianto, Mohammad Sigit
Format:	Artikel
Sprache:	eng
Schlagworte:	Bit error rate Cancellation Communications systems Deep learning Elevation Ground stations High altitude Interference New technology Nonorthogonal multiple access Power efficiency Signal to noise ratio Wireless communications
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!