We address the channel estimation (CE) problem in reconfigurable intelligent surface (RIS) aided orthogonal frequency-division multiplexing (OFDM) systems by proposing a dual-structure and multi-dimensional transformations (DS-MDT) algorithm.The proposed approach leverages the dual-structure features of the channel parameters to assist users experiencing weaker channel conditions, thereby enhancing CE performance. Moreover, given that the channel parameters are distributed across multiple dimensions of the received tensor, the proposed algorithm employs multi-dimensional transformations to isolate and extract distinct parameters. The numerical results demonstrate the proposed algorithm reduces the normalized mean square error (NMSE) by up to 10 dB while maintaining lower complexity compared to state-of-the-art methods.
@article{arxiv.2505.02611,
title = {Multi-dimensional Parameter Estimation in RIS-aided MU-MIMO-OFDM Channels},
author = {Linlin Mo and Yi Song and Fabio Saggese and Xinhua Lu and Zhongyong Wang and Petar Popovski},
journal= {arXiv preprint arXiv:2505.02611},
year = {2026}
}
Comments
The paper was submitted to IEEE Wireless Communication Letters. Copyright may change without further notice