A Coded Compressed Sensing Scheme for Unsourced Multiple Access

• 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

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...