A Coded Compressed Sensing Scheme for Unsourced Multiple Access

This article introduces a novel scheme, termed coded compressed sensing, for unsourced multiple-access communication. The proposed divide-and-conquer approach leverages recent advances in compressed sensing and forward error correction to produce a novel uncoordinated access paradigm, along with a c...

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Bibliographic Details
Published in:	IEEE transactions on information theory Vol. 66; no. 10; pp. 6509 - 6533
Main Authors:	Amalladinne, Vamsi K., Chamberland, Jean-Francois, Narayanan, Krishna R.
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.10.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Communication Complexity Compressed sensing Computational complexity Decoding Encoding Error correction forward error correction Maximum likelihood decoding Optimization Parity Partitioning algorithms Payloads Permutations Redundancy Stitching unsourced multiple-access
ISSN:	0018-9448, 1557-9654
Online Access:	Get full text
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