Randomized Iterative Sampling Decoding Algorithm For Large-Scale MIMO Detection

In this paper, the paradigm of the traditional iterative decoding schemes for the uplink large-scale MIMO detection is extended by sampling in an Markov chain Monte Carlo (MCMC) way. Different from iterative decoding whose performance is upper bounded by the suboptimal linear decoding scheme like ZF...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE transactions on signal processing Jg. 72; S. 1 - 14
Hauptverfasser:	Wang, Zheng, Xia, Yili, Ling, Cong, Huang, Yongming
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.01.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Convergence Iterative decoding iterative methods Jacobian matrices Large-scale MIMO detection Markov analysis Markov chains Markov processes massive MIMO detection Maximum likelihood decoding MCMC MIMO communication Performance enhancement Random sampling sampling decoding Signal processing algorithms
ISSN:	1053-587X, 1941-0476
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!