Compressive Sensing-Based Adaptive Active User Detection and Channel Estimation: Massive Access Meets Massive MIMO

This paper considers massive access in massive multiple-input multiple-output (MIMO) systems and proposes an adaptive active user detection and channel estimation scheme based on compressive sensing. By exploiting the sporadic traffic of massive connected user equipments and the virtual angular doma...

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Vydané v:	IEEE transactions on signal processing Ročník 68; s. 764 - 779
Hlavní autori:	Ke, Malong, Gao, Zhen, Wu, Yongpeng, Gao, Xiqi, Schober, Robert
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	active user detection Adaptive systems Algorithms approximate message passing Approximation algorithms Broadband Channel estimation Channels compressive sensing Computer simulation Detection Domains Evolutionary algorithms Massive access Massive MIMO massive multiple-input multiple-output Mathematical analysis Matrix methods Message passing MIMO (control systems) Performance enhancement Pilots Pseudorandom Sensors Signal processing algorithms Sparsity structured sparsity
ISSN:	1053-587X, 1941-0476
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