Cross-Domain Channel Estimation for MU-MIMO-OFDM
Abstract
Conventional channel estimation for multiple-input multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) relies on the pilot interpolation without explicitly identifying the sparse delay-angle (DA) components. To exploit DA sparsity while maintaining backward compatibility with existing MIMO-OFDM systems, we propose a cross-domain channel estimation scheme for multiuser MIMO-OFDM (MU-MIMO-OFDM) systems. The scheme exploits the circular convolution structure in the DA domain to identify candidate DA pairs by correlating delay-domain observations with DA pilot responses. These pairs and the known pilots then define a time-frequency (TF) dictionary for refining the DA coefficients from TF observations through least-squares or sparsity-regularized fitting. The refined coefficients and candidate pairs reconstruct the aggregate channel across antennas and subcarriers aligning with the geometric channel model. Numerical results show approximately 10 dB and 7 dB lower normalized mean-square error than the conventional OFDM estimation schemes for integer and fractional delay and angle indices, respectively.
Related
- Channel Estimation for OFDM via Delay-Doppler Refinement
- Neural Network-Based Delay-Doppler-Assisted Channel Estimation for OFDM
- Statistical Characterization and Block-EM Estimation of Frequency-Domain NSI for OFDM Systems in Bursty Impulsive Noise
- Two-Stage Refinement Sparse Channel Estimation for Reconfigurable Intelligent Metasurface Antenna (RIMSA) Massive MIMO
- Low-Complexity Channel Estimation Framework for Non-Square UPA-Assisted XL-MIMO Systems
BibTeX
@misc{nie2026crossdomain,
title = {{Cross-Domain Channel Estimation for MU-MIMO-OFDM}},
author = {Mingcheng Nie and Shuangyang Li and Ruoxi Chong and Giuseppe Caire and Yonghui Li},
howpublished = {arXiv},
year = {2026},
month = nov,
doi = {10.48550/arxiv.2611.10052},
eprint = {2611.10052},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2611.10052},
}
RIS
TY - UNPB
TI - Cross-Domain Channel Estimation for MU-MIMO-OFDM
AU - Mingcheng Nie
AU - Shuangyang Li
AU - Ruoxi Chong
AU - Giuseppe Caire
AU - Yonghui Li
PY - 2026
DA - 2026/11/05
PB - arXiv
DO - 10.48550/arxiv.2611.10052
UR - https://arxiv.org/abs/2611.10052
AB - Conventional channel estimation for multiple-input multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) relies on the pilot interpolation without explicitly identifying the sparse delay-angle (DA) components. To exploit DA sparsity while maintaining backward compatibility with existing MIMO-OFDM systems, we propose a cross-domain channel estimation scheme for multiuser MIMO-OFDM (MU-MIMO-OFDM) systems. The scheme exploits the circular convolution structure in the DA domain to identify candidate DA pairs by correlating delay-domain observations with DA pilot responses. These pairs and the known pilots then define a time-frequency (TF) dictionary for refining the DA coefficients from TF observations through least-squares or sparsity-regularized fitting. The refined coefficients and candidate pairs reconstruct the aggregate channel across antennas and subcarriers aligning with the geometric channel model. Numerical results show approximately 10 dB and 7 dB lower normalized mean-square error than the conventional OFDM estimation schemes for integer and fractional delay and angle indices, respectively.
ER -