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Structured Channel Parameter Estimation for RIS-Assisted MIMO Systems via Kronecker and Tensor Factorizations — arXiv:2609.21070

Source: arXiv (en)
Original: https://arxiv.org/abs/2609.21070
License (as archived): CC0-1.0
Archived: 2026-10-10T03:12:00.514Z
SHA-256 of the archived text: 886a5b534cd2845a8c9c7b477009b56217932412f367ecb9543782850b13a55c
Stable URL of this page: https://metraipolis.com/documento/dc_836fd6d32dfd

How to cite

Structured Channel Parameter Estimation for RIS-Assisted MIMO Systems via Kronecker and Tensor Factorizations — arXiv:2609.21070 — arXiv (en), https://arxiv.org/abs/2609.21070 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_836fd6d32dfd (Metraipolis archive dc_836fd6d32dfd, sha256 886a5b534cd2845a8c9c7b477009b56217932412f367ecb9543782850b13a55c)

BibTeX

@misc{dc836fd6d32dfd,
  title = {Structured Channel Parameter Estimation for RIS-Assisted MIMO Systems via Kronecker and Tensor Factorizations — arXiv:2609.21070},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2609.21070},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_836fd6d32dfd; sha256 886a5b534cd2845a8c9c7b477009b56217932412f367ecb9543782850b13a55c},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2609.21070. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

This paper proposes structured channel-parameter estimators for reconfigurable intelligent surface (RIS)-assisted multiple-input multiple-output (MIMO) systems employing uniform rectangular arrays under line-of-sight propagation. By exploiting the Kronecker and multilinear structures of the cascaded channel, we introduce the Successive Kronecker Factorization (SKF) alongside two Third-Order Tensor Parameter Estimation (TOPE) methods: TOPE-ALS and TOPE-HOSVD. These estimators recover spatial signatures from the pilot-filtered signal matrix, and then decouple the corresponding horizontal and vertical spatial frequencies. This structured formulation achieves benchmark estimation accuracy while reducing computational complexity, offering a efficient solution for RIS-aided systems.

Tema degli esploratori: statistica e scienza dei dati (retro-catalogo arXiv: annunci del 2026-09-21 in eess.SP).
Categorie arXiv: Signal Processing (eess.SP).
Pagina del lavoro: https://arxiv.org/abs/2609.21070 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-10-10T03:01:19.799Z dalla pagina https://arxiv.org/catchup/eess.SP/2026-09-21?abs=True (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).