Reconfigurable Intelligent Surface Assisted Multiuser MISO Systems Exploiting Deep Reinforcement Learning

Recently, the reconfigurable intelligent surface (RIS), benefited from the breakthrough on the fabrication of programmable meta-material, has been speculated as one of the key enabling technologies for the future six generation (6G) wireless communication systems scaled up beyond massive multiple in...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE journal on selected areas in communications Jg. 38; H. 8; S. 1839 - 1850
Hauptverfasser:	Huang, Chongwen, Mo, Ronghong, Yuen, Chau
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.08.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Antenna arrays Array signal processing Beamforming beamforming matrix Computer simulation Deep learning deep reinforcement learning Machine learning Massive MIMO Metamaterials MIMO (control systems) MIMO communication MISO (control systems) MISO communication Neural networks Optimization Optimization techniques phase shift matrix Power consumption Receivers Reconfigurable intelligent surface Reconfigurable intelligent surfaces smart radio environment Wireless communication Wireless communication systems Wireless communications
ISSN:	0733-8716, 1558-0008
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!