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Abstract
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.
Original language | English |
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Title of host publication | 2022 IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication, SPAWC 2022 |
Publisher | IEEE |
Number of pages | 5 |
ISBN (Electronic) | 978-1-6654-9455-7 |
DOIs | |
Publication status | Published - 2022 |
MoE publication type | A4 Conference publication |
Event | IEEE International Workshop on Signal Processing Advances in Wireless Communication - Oulu, Finland Duration: 4 Jul 2022 → 6 Jul 2022 |
Publication series
Name | IEEE International Workshop on Signal Processing Advances in Wireless Communications |
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ISSN (Print) | 2325-3789 |
Conference
Conference | IEEE International Workshop on Signal Processing Advances in Wireless Communication |
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Abbreviated title | SPAWC |
Country/Territory | Finland |
City | Oulu |
Period | 04/07/2022 → 06/07/2022 |
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Dive into the research topics of 'Channel Charting Aided Pilot Allocation in Multi-Cell Massive MIMO mMTC Networks'. Together they form a unique fingerprint.Projects
- 1 Finished
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-: Radio Network Optimization for Heterogeneous Machine Connectivity
Tirkkonen, O. (Principal investigator), Al-Tous, H. (Project Member), Vehkalahti, R. (Project Member), Ponnada, T. (Project Member), Kazemi, P. (Project Member), Heikkilä, E. (Project Member), Pllaha, T. (Project Member) & Garau Burguera, P. (Project Member)
01/01/2019 → 31/12/2022
Project: Academy of Finland: Other research funding