Solomon, Amit and Duffy, Ken R. and Medard, Muriel (2021) Managing Noise and Interference Separately - Multiple Access Channel Decoding using Soft GRAND. IEEE International Symposium on Information Theory (ISIT). pp. 2602-2607. ISSN 978-1-5386-8209-8

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Abstract

Two main problems arise in the Multiple Access Channel (MAC): interference from different users, and additive noise channel noise. Maximum A-Posteriori (MAP) joint decoding or successive interference cancellation are known to be capacity-achieving for the MAC when paired with appropriate codes. We extend the recently proposed Soft Guessing Random Additive Noise Decoder (SGRAND) to guess, using soft information, the effect of noise on the sum of users' transmitted codewords. Next, we manage interference by applying ZigZag decoding over the resulting putative noiseless MAC to obtain candidate codewords. Guessing continues until the candidate codewords thus obtained pertain to the corresponding users' codebooks. This MAC SGRAND decoder is a MAP decoder that requires no coordination between users, who can use arbitrary moderate redundancy short length codes of different types and rates.

Item Type:	Article
Keywords:	Additive noise; Maximum a posteriori estimation; Interference cancellation; Redundancy; Decoding;
Academic Unit:	Faculty of Science and Engineering > Research Institutes > Hamilton Institute
Item ID:	15275
Identification Number:	https://doi.org/10.1109/ISIT45174.2021.9517890
Depositing User:	Dr Ken Duffy
Date Deposited:	19 Jan 2022 11:39
Journal or Publication Title:	IEEE International Symposium on Information Theory (ISIT)
Publisher:	IEEE
Refereed:	Yes
URI:	Publisher
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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