ORIGINAL RESEARCH article
Front. Signal Process.
Sec. Signal Processing for Communications
This article is part of the Research TopicEmerging Optimization, Learning and Signal Processing for Next Generation Wireless Communications and NetworkingView all 6 articles
Convergence Analysis of Hyperparameter-free MCC-based Channel-Estimation for mmWave MIMO Systems
Provisionally accepted
Vimal Bhatia1*
Rajat Kumar1Rangeet Mitra2Sandesh Jain3Vidya Bhasker Shukla4K. Venkateswaran2
Ondrej Krejcar5- 1Indian Institute of Technology (IIT) Indore, Indore, India
- 2CMR Institute of Technology, Bengaluru, India
- 3Atal Bihari Vajpayee Indian Institute of Information Technology and Management, Gwalior, India
- 4University of Oulu, 90570 Oulu, Finland
- 5Univerzita Hradec Kralove, Hradec Kralove, Czechia
Select one of your emails
You have multiple emails registered with Frontiers:
Notify me on publication
Please enter your email address:
If you already have an account, please login
You don't have a Frontiers account ? You can register here
Accurate channel-estimation algorithms are critical towards enhancing the throughput of wireless communication systems, including millimeter wave (mmWave) multiple-input multiple-output (MIMO) systems, where precise channel knowledge enables reliable signal detection and beamforming. In practical wireless environments, impulsive non-Gaussian noise with unknown statistics often occurs due to electromagnetic interference and harsh propagation conditions, significantly, degrading estimation accuracy and overall system performance. In this context, the maximum correntropy criterion (MCC) has emerged as an attractive solution for robust channel estimation that outperforms state-of-the-art algorithms. However, the MCC-based algorithm's performance is sensitive to the tuning of hyperparameters, which is challenging in the presence of non-Gaussian noise, such as impulsive noise (IN). Furthermore, a recent genre of kernel width sampling methods makes MCC hyperparameter-free and allows for asymptotic convergence to the squared-error performance of MCC with the ideal kernel width. To ensure their practical applicability, convergence analysis is essential to theoretically guarantee stability and performance under various IN scenarios. This paper presents convergence analysis of hyperparameter-free MCC-based channel estimation for mmWave MIMO systems considering various IN scenarios. To validate the theoretical analysis, simulations are conducted on practical mmWave MIMO system models. Simulation results closely match with the analytical findings, which confirms accuracy and effectiveness of the analysis presented in this paper.
Keywords: Channel estimation, Millimeter wave, Convergence analysis, hyperparameter-free MCC, 5G/B5G
Received: 19 Sep 2025; Accepted: 18 Nov 2025.
Copyright: © 2025 Bhatia, Kumar, Mitra, Jain, Shukla, Venkateswaran and Krejcar. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Vimal Bhatia, vbhatia@iiti.ac.in
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.