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The Strongly Asynchronous Massive Access Channel
This paper considers the Strongly Asynchronous, Slotted, Discrete Memoryless, Massive Access Channel (SAS-DM-MAC) in which the number of users, the number of messages, and the asynchronous window length grow exponentially with the coding blocklength with their respective exponents. A joint probabili...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9857442/ https://www.ncbi.nlm.nih.gov/pubmed/36673206 http://dx.doi.org/10.3390/e25010065 |
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author | Shahi, Sara Tuninetti, Daniela Devroye, Natasha |
author_facet | Shahi, Sara Tuninetti, Daniela Devroye, Natasha |
author_sort | Shahi, Sara |
collection | PubMed |
description | This paper considers the Strongly Asynchronous, Slotted, Discrete Memoryless, Massive Access Channel (SAS-DM-MAC) in which the number of users, the number of messages, and the asynchronous window length grow exponentially with the coding blocklength with their respective exponents. A joint probability of error is enforced, ensuring that all the users’ identities and messages are correctly identified and decoded. Achievability bounds are derived for the case that different users have similar channels, the case that users’ channels can be chosen from a set which has polynomially many elements in the blocklength, and the case with no restriction on the users’ channels. A general converse bound on the capacity region and a converse bound on the maximum growth rate of the number of users are derived. It is shown that reliable transmission with an exponential number of users with an exponential asynchronous exponent with joint error probability is possible at strictly positive rates. |
format | Online Article Text |
id | pubmed-9857442 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-98574422023-01-21 The Strongly Asynchronous Massive Access Channel Shahi, Sara Tuninetti, Daniela Devroye, Natasha Entropy (Basel) Article This paper considers the Strongly Asynchronous, Slotted, Discrete Memoryless, Massive Access Channel (SAS-DM-MAC) in which the number of users, the number of messages, and the asynchronous window length grow exponentially with the coding blocklength with their respective exponents. A joint probability of error is enforced, ensuring that all the users’ identities and messages are correctly identified and decoded. Achievability bounds are derived for the case that different users have similar channels, the case that users’ channels can be chosen from a set which has polynomially many elements in the blocklength, and the case with no restriction on the users’ channels. A general converse bound on the capacity region and a converse bound on the maximum growth rate of the number of users are derived. It is shown that reliable transmission with an exponential number of users with an exponential asynchronous exponent with joint error probability is possible at strictly positive rates. MDPI 2022-12-29 /pmc/articles/PMC9857442/ /pubmed/36673206 http://dx.doi.org/10.3390/e25010065 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Shahi, Sara Tuninetti, Daniela Devroye, Natasha The Strongly Asynchronous Massive Access Channel |
title | The Strongly Asynchronous Massive Access Channel |
title_full | The Strongly Asynchronous Massive Access Channel |
title_fullStr | The Strongly Asynchronous Massive Access Channel |
title_full_unstemmed | The Strongly Asynchronous Massive Access Channel |
title_short | The Strongly Asynchronous Massive Access Channel |
title_sort | strongly asynchronous massive access channel |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9857442/ https://www.ncbi.nlm.nih.gov/pubmed/36673206 http://dx.doi.org/10.3390/e25010065 |
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