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Main Authors: Wu, Jyun-Sian, Lin, Pin-Hsun, Mross, Marcel A., Jorswieck, Eduard A.
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2501.12294
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author Wu, Jyun-Sian
Lin, Pin-Hsun
Mross, Marcel A.
Jorswieck, Eduard A.
author_facet Wu, Jyun-Sian
Lin, Pin-Hsun
Mross, Marcel A.
Jorswieck, Eduard A.
contents An asynchronous $\ka$-active-user unsourced multiple access channel (AUMAC) is a key model for uncoordinated massive access in future networks. We focus on a scenario where each transmission is subject to the maximal delay constraint ($\dm$), and the precise delay of each user is unknown at the receiver. The combined effects of asynchronicity and uncertain delays require analysis over all possible delay-codeword combinations, making the complexity of the analysis grow with $\dm$ and $\ka$ exponentially. To overcome the complexity, we employ a wrap-decoder for the AUMAC and derive a uniform upper bound on the per-user probability of error (PUPE). The numerical result shows the trade-off between energy per bit and the number of active users under various delay constraints. Furthermore, in our considered AUMAC, decoding without explicit delay information is shown to achieve nearly the same energy efficiency as decoding with perfect delay knowledge.
format Preprint
id arxiv_https___arxiv_org_abs_2501_12294
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Wrap-Decoding in Asynchronous Unsourced Multiple Access With and Without Delay Information
Wu, Jyun-Sian
Lin, Pin-Hsun
Mross, Marcel A.
Jorswieck, Eduard A.
Information Theory
An asynchronous $\ka$-active-user unsourced multiple access channel (AUMAC) is a key model for uncoordinated massive access in future networks. We focus on a scenario where each transmission is subject to the maximal delay constraint ($\dm$), and the precise delay of each user is unknown at the receiver. The combined effects of asynchronicity and uncertain delays require analysis over all possible delay-codeword combinations, making the complexity of the analysis grow with $\dm$ and $\ka$ exponentially. To overcome the complexity, we employ a wrap-decoder for the AUMAC and derive a uniform upper bound on the per-user probability of error (PUPE). The numerical result shows the trade-off between energy per bit and the number of active users under various delay constraints. Furthermore, in our considered AUMAC, decoding without explicit delay information is shown to achieve nearly the same energy efficiency as decoding with perfect delay knowledge.
title Wrap-Decoding in Asynchronous Unsourced Multiple Access With and Without Delay Information
topic Information Theory
url https://arxiv.org/abs/2501.12294