University of Oulu

L. Ribeiro, M. Leinonealn, I. Rathnayaka, H. Al-Tous and M. Juntti, "Channel Charting Aided Pilot Allocation in Multi-Cell Massive MIMO mMTC Networks," 2022 IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication (SPAWC), Oulu, Finland, 2022, pp. 1-5, doi: 10.1109/SPAWC51304.2022.9834004

Channel charting aided pilot allocation in multi-cell massive MIMO mMTC networks

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Author: Ribeiro, Lucas1; Leinonen, Markus1; Rathnayaka, Isuru1;
Organizations: 1Centre for Wireless Communications, FI-90014, University of Oulu, Finland
2Department of Communications and Networking, Aalto University, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.6 MB)
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Language: English
Published: Institute of Electrical and Electronics Engineers, 2022
Publish Date: 2022-12-08


Serving a plethora of devices in massive machinetype communications (mMTC) can rely on spatial multiplexing enabled by massive multiple-input multiple-output (mMIMO) technology. To release the full potential, accurate channel estimation is needed. Due to the large numbers of devices it necessitates pilot reuse. We propose a pilot allocation algorithm based on multi-point channel charting (CC) to mitigate inevitable pilot contamination in a multi-cell multi-sector mMTC network with spatially correlated mMIMO channels. The generated CC represents an effective interference map from channel covariance matrices to capture the degree of pilot contamination caused by sharing the same pilot sequence among multiple users. The map is then fed into a greedy algorithm that aims at optimizing the reuse pattern of orthogonal pilot sequences to minimize the performance degradation caused by pilot contamination. The proposed CC-based method is empirically shown to obtain notable gains over a reuse-factor-aware random pilot allocation, yet leaving room for further improvements.

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Series: IEEE International Workshop on Signal Processing Advances in Wireless Communications
ISSN: 2325-3789
ISSN-L: 2325-3789
ISBN: 978-1-6654-9455-7
ISBN Print: 978-1-6654-9456-4
Pages: 1 - 5
DOI: 10.1109/spawc51304.2022.9834004
Host publication: 2022 IEEE 23rd international workshop on signal processing advances in wireless communication (SPAWC)
Conference: IEEE International Workshop on Signal Processing Advances in Wireless Communication
Type of Publication: A4 Article in conference proceedings
Field of Science: 213 Electronic, automation and communications engineering, electronics
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 the Academy of Finland (grant 340171).
Academy of Finland Grant Number: 340171
Detailed Information: 340171 (Academy of Finland Funding decision)
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