Simultaneous Localization and Channel Estimation for 5G mmWave MIMO Communications

Zhou, B., Wichman, R., Zhang, L. and Luo, Z. (2021) Simultaneous Localization and Channel Estimation for 5G mmWave MIMO Communications. In: 2021 IEEE 32nd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 13-16 Sep 2021, pp. 1208-1214. ISBN 9781728175867 (doi: 10.1109/PIMRC50174.2021.9569680)

Abstract

In this paper, we are interested in the joint estimate of user equipment (UE) location and orientation for millimeter-wave multi-input-multi-output (mmWave MIMO) systems. In practice, mmWave signals suffer from small-scale fading, which degrades UE localization. Moreover, mmWave MIMO-based UE localization is a non-convex optimization problem, and the bruteforce application of conventional optimization methods will result in a poor solution or lead to large computational cost. In order to address the above challenges, we propose a novel simultaneous localization and channel estimate (SLCE) algorithm, where the UE location parameters and small-scale fading coefficients are jointly optimized. In such a case, the disturbance of small-scale fading on UE localization is alleviated. Thanks to our problem-specific update rule design, the proposed SLCE algorithm achieves a large performance gain over existing baseline methods.

• Item Type: Conference Proceedings
• Additional Information: This work was supported by National Natural Science Foundation of China under Grant 62001526, and in part by the Natural Science Foundation of Guangdong Province under Grant 2021A1515012021.
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Zhang, Professor Lei
• Authors: Zhou, B., Wichman, R., Zhang, L., and Luo, Z.
• College/School: College of Science and Engineering > School of Engineering > Systems Power and Energy
• ISSN: 2166-9589
• ISBN: 9781728175867
• Copyright Holders: Copyright © 2021 IEEE
• Publisher Policy: Reproduced in accordance with the copyright policy of the publisher