Message Passing-Based Joint User Activity Detection and Channel Estimation for Temporally-Correlated Massive Access

This paper studies the user activity detection and channel estimation problem in a temporally-correlated massive access system where a very large number of users communicate with a base station sporadically and each user once activated can transmit with a large probability over multiple consecutive...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	IEEE transactions on communications 2023-06, Vol.71 (6), p.1-1
Hauptverfasser:	Zhu, Weifeng, Tao, Meixia, Yuan, Xiaojun, Guan, Yunfeng
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Channel estimation Computational complexity Correlation Estimation expectation maximization (EM) hybrid generalized approximate message passing (HyGAMP) Internet of Things Matching pursuit algorithms Message passing Temporally-correlated massive access user activity detection
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!