Sparsity-Exploiting Channel Estimation For Unsourced Random Access With Fluid Antenna

Fuente: arXiv
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Autores principales: Zhou, Keru, Zhang, Zhentian, Dang, Jian, Sun, Qianqian, Zhang, Zaichen
Formato: Preprint
Publicado: 2025
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author Zhou, Keru
Zhang, Zhentian
Dang, Jian
Sun, Qianqian
Zhang, Zaichen
author_facet Zhou, Keru
Zhang, Zhentian
Dang, Jian
Sun, Qianqian
Zhang, Zaichen
contents This work explores the channel estimation (CE) problem in uplink transmission for unsourced random access (URA) with a fluid antenna receiver. The additional spatial diversity in a fluid antenna system (FAS) addresses the needs of URA design in multiple-input and multiple-output (MIMO) systems. We present two CE strategies based on the activation of different FAS ports, namely alternate ports and partial ports CE. Both strategies facilitate the estimation of channel coefficients and angles of arrival (AoAs). Additionally, we discuss how to refine channel estimation by leveraging the sparsity of finite scatterers. Specifically, the proposed partial ports CE strategy is implemented using a regularized estimator, and we optimize the estimator's parameter to achieve the desired AoA precision and refinement. Extensive numerical results demonstrate the feasibility of the proposed strategies, and a comparison with a conventional receiver using half-wavelength antennas highlights the promising future of integrating URA and FAS.
format Preprint
id arxiv_https___arxiv_org_abs_2504_17634
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Sparsity-Exploiting Channel Estimation For Unsourced Random Access With Fluid Antenna
Zhou, Keru
Zhang, Zhentian
Dang, Jian
Sun, Qianqian
Zhang, Zaichen
Information Theory
This work explores the channel estimation (CE) problem in uplink transmission for unsourced random access (URA) with a fluid antenna receiver. The additional spatial diversity in a fluid antenna system (FAS) addresses the needs of URA design in multiple-input and multiple-output (MIMO) systems. We present two CE strategies based on the activation of different FAS ports, namely alternate ports and partial ports CE. Both strategies facilitate the estimation of channel coefficients and angles of arrival (AoAs). Additionally, we discuss how to refine channel estimation by leveraging the sparsity of finite scatterers. Specifically, the proposed partial ports CE strategy is implemented using a regularized estimator, and we optimize the estimator's parameter to achieve the desired AoA precision and refinement. Extensive numerical results demonstrate the feasibility of the proposed strategies, and a comparison with a conventional receiver using half-wavelength antennas highlights the promising future of integrating URA and FAS.
title Sparsity-Exploiting Channel Estimation For Unsourced Random Access With Fluid Antenna
topic Information Theory
url https://arxiv.org/abs/2504.17634