University of Oulu

L. Ribeiro, M. Leinonen, H. Al-Tous, O. Tirkkonen and M. Juntti, "Channel Charting Aided Pilot Reuse for Massive MIMO Systems With Spatially Correlated Channels," in IEEE Open Journal of the Communications Society, vol. 3, pp. 2390-2406, 2022, doi: 10.1109/OJCOMS.2022.3225054

Channel charting aided pilot reuse for massive MIMO systems with spatially correlated channels

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Author: Ribeiro, Lucas1; Leinonen, Markus1; Al-Tous, Hanan2;
Organizations: 1Centre for Wireless Communications, University of Oulu, Finland
2Department of Communications and Networking, Aalto University, Finland
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 2.6 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2022120870059
Language: English
Published: Institute of Electrical and Electronics Engineers, 2022
Publish Date: 2022-12-08
Description:

Abstract

Massive multiple-input multiple-output (mMIMO) technology is a way to increase spectral efficiency and provide access to the Internet of things (IoT) and machine-type communication (MTC) devices. To exploit the benefits of large antenna arrays, accurate channel estimation through pilot signals is needed. Massive IoT and MTC systems cannot avoid pilot reuse because of the enormous numbers of connected devices. We propose a pilot reuse algorithm based on channel charting (CC) to mitigate pilot contamination in a multi-sector single-cell mMIMO system having spatially correlated channels. We show that after creating an interference map via CC, a simple strategy to allocate the pilot sequences can be implemented. The simulation results show that the CC-based pilot reuse strategy improves channel estimation accuracy, which subsequently improves the symbol detection performance and increases the spectral efficiency compared to other existing schemes. Moreover, the performance of the CC pilot assignment method approaches that of exhaustive search pilot assignment for small network setups.

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Series: IEEE open journal of the Communications Society
ISSN: 2644-125X
ISSN-E: 2644-125X
ISSN-L: 2644-125X
Volume: 3
Pages: 2390 - 2406
DOI: 10.1109/ojcoms.2022.3225054
OADOI: https://oadoi.org/10.1109/ojcoms.2022.3225054
Type of Publication: A1 Journal article – refereed
Field of Science: 213 Electronic, automation and communications engineering, electronics
Subjects:
Funding: This research has been financially supported by the Academy of Finland under the projects ROHM and 6G Flagship. The work of M. Leinonen has also been financially supported in part by Infotech Oulu and the Academy of Finland (grant 340171 and 323698).
Academy of Finland Grant Number: 340171
323698
Detailed Information: 340171 (Academy of Finland Funding decision)
323698 (Academy of Finland Funding decision)
Copyright information: © The Author(s) 2022. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0.
  https://creativecommons.org/licenses/by/4.0/