PARAFAC-Based Time-Varying Channel Estimation for IRS-Aided Communications
Kenneth Brenner Benício, André de Almeida, Bruno Sokal, Fazal-E- Asim, Behrooz Makki, Gabor Fodor
DOI: 10.14209/sbrt.2024.1571036783
Evento: XLII Simpósio Brasileiro de Telecomunicações e Processamento de Sinais (SBrT2024)
Keywords: channel estimation intelligent reflecting surfaces tensor-based algorithm complexity analysis
Abstract
This paper proposes a tensor-based parametric channel estimation technique for IRS-assisted communication systems with time-varying channel parameters. We exploit the multidimensional structure of the received signal by developing a 3rd-order PARAFAC tensor model that is solved by employing the iteratively ALS algorithm. Our simulation results show that the proposed approach provides enhanced performance in terms of NMSE of the concatenated channel compared to the competing solutions by capitalizing on the intrinsic tensor structure of the received signal without increasing the computational complexity of the channel estimationDownload