A User-Independent Successive Interference Cancellation Based Coding Scheme for the Unsourced Random Access Gaussian Channel

This work introduces a novel coding paradigm for the unsourced multiple access channel model. The envisioned framework builds on a select few key components. First, the transmission period is partitioned into a sequence of sub-blocks, thereby yielding a slotted structure. Second, messages are split...

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Bibliographic Details
Published in:	IEEE transactions on communications Vol. 67; no. 12; pp. 8258 - 8272
Main Authors:	Vem, Avinash, Narayanan, Krishna R., Chamberland, Jean-Francois, Cheng, Jun
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.12.2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	<italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">T -user adder channel Algorithms Channel coding Codes Coding Compressed sensing compressive sensing Decoding Density forward error correction Interference Interference cancellation Low density parity check codes Message passing Parity Parity check codes Random access successive interference cancellation Task analysis Unsourced multiple access
ISSN:	0090-6778, 1558-0857
Online Access:	Get full text
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