Coordinated Pilot Transmissions for Detecting the Signal Sparsity Level in Massive IoT Networks

Grant-free protocols exploiting compressed sensing multi-user detection (MUD) are appealing for solving the random access problem in massive Internet of Things (IoT) networks with sporadic device activity. Such protocols would greatly benefit from prior deterministic knowledge of the sparsity level,...

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Veröffentlicht in:	IEEE transactions on communications Jg. 72; H. 3; S. 1
Hauptverfasser:	Lopez, Onel L. A., Brante, Glauber, Souza, Richard D., Juntti, Markku, Latva-aho, Matti
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.03.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Channel estimation compressed sensing Data processing Fading Feature extraction grant-free random access Inference algorithms Internet of Things massive IoT Matching pursuit algorithms Mathematical analysis Mud multi-user detection Multiuser detection Networks Random access Random variables signal sparsity level Sparsity Symbols
ISSN:	0090-6778, 1558-0857
Online-Zugang:	Volltext
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