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Bibliographic Details
Main Author: Hara, Takanori
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2408.05988
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author Hara, Takanori
author_facet Hara, Takanori
contents This paper investigates a grant-free non-orthogonal multiple access (GF-NOMA) system in the presence of carrier frequency offsets. We propose two schemes for enumerating active users in such a GF-NOMA system, which is equivalent to estimating the sparsity level. Both schemes utilize a short common pilot and the eigenvalues of the sample covariance matrix of the received signal. The two schemes differ in their treatment of noise variance: one exploits known variance information, while the other is designed to function without this knowledge. Simulation results demonstrate the effectiveness of the proposed schemes in terms of the normalized root-mean-squared error.
format Preprint
id arxiv_https___arxiv_org_abs_2408_05988
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Eigenvalue Based Active User Enumeration for Grant-Free Access Under Carrier Frequency Offsets
Hara, Takanori
Information Theory
Signal Processing
This paper investigates a grant-free non-orthogonal multiple access (GF-NOMA) system in the presence of carrier frequency offsets. We propose two schemes for enumerating active users in such a GF-NOMA system, which is equivalent to estimating the sparsity level. Both schemes utilize a short common pilot and the eigenvalues of the sample covariance matrix of the received signal. The two schemes differ in their treatment of noise variance: one exploits known variance information, while the other is designed to function without this knowledge. Simulation results demonstrate the effectiveness of the proposed schemes in terms of the normalized root-mean-squared error.
title Eigenvalue Based Active User Enumeration for Grant-Free Access Under Carrier Frequency Offsets
topic Information Theory
Signal Processing
url https://arxiv.org/abs/2408.05988