Spatially Common Sparsity Based Adaptive Channel Estimation and Feedback for FDD Massive MIMO

This paper proposes a spatially common sparsity based adaptive channel estimation and feedback scheme for frequency division duplex based massive multi-input multi-output (MIMO) systems, which adapts training overhead and pilot design to reliably estimate and feed back the downlink channel state inf...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE transactions on signal processing 2015-12, Vol.63 (23), p.6169-6183
Hauptverfasser:	Gao, Zhen, Dai, Linglong, Wang, Zhaocheng, Chen, Sheng
Format:	Artikel
Sprache:	eng
Schlagworte:	Acquisitions Algorithm design and analysis Algorithms Channel estimation Channels compressive sensing Design engineering Downlink Estimates Feedback frequency division duplex Marketing massive multi-input multi-output Matching pursuit algorithms MIMO Pilots Signal processing algorithms spatially common sparsity temporal correlation Training
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!