DMRS-Based Uplink Channel Estimation for MU-MIMO Systems with Location-Specific SCSI Acquisition
Jiawei Zhuang, Hongwei Hou, Minjie Tang, Wenjin Wang, Shi Jin, Vincent K. N. Lau

TL;DR
This paper introduces a location-specific SCSI database and Bayesian channel estimators for MU-MIMO uplink systems, significantly improving channel estimation accuracy by exploiting spatial and channel sparsity.
Contribution
It proposes a novel SCSI acquisition method using tensor decomposition and a SCSI-assisted Bayesian estimator with windowing to enhance MU-MIMO uplink channel estimation performance.
Findings
The SCSI database achieves high accuracy in location-specific channel information.
The proposed estimators outperform existing benchmarks in simulation.
The windowed estimator reduces computational complexity while maintaining performance.
Abstract
With the growing number of users in multi-user multiple-input multiple-output (MU-MIMO) systems, demodulation reference signals (DMRSs) are efficiently multiplexed in the code domain via orthogonal cover codes (OCC) to ensure orthogonality and minimize pilot interference. In this paper, we investigate uplink DMRS-based channel estimation for MU-MIMO systems with Type II OCC pattern standardized in 3GPP Release 18, leveraging location-specific statistical channel state information (SCSI) to enhance performance. Specifically, we propose a SCSI-assisted Bayesian channel estimator (SA-BCE) based on the minimum mean square error criterion to suppress the pilot interference and noise, albeit at the cost of cubic computational complexity due to matrix inversions. To reduce this complexity while maintaining performance, we extend the scheme to a windowed version (SA-WBCE), which incorporates…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced MIMO Systems Optimization · Wireless Communication Networks Research · Advanced Wireless Communication Techniques
