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

• Published in: IEEE transactions on communications Vol. 72; no. 3; p. 1
• Main Authors: Lopez, Onel L. A., Brante, Glauber, Souza, Richard D., Juntti, Markku, Latva-aho, Matti
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.03.2024; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: 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

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,...