Channel Charting Aided Pilot Allocation in Multi-Cell Massive MIMO mMTC Networks

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorRibeiro, Lucasen_US
dc.contributor.authorLeinonen, Markusen_US
dc.contributor.authorRathnayaka, Isuruen_US
dc.contributor.authorAl-Tous, Hananen_US
dc.contributor.authorJuntti, Markkuen_US
dc.contributor.departmentDepartment of Communications and Networkingen
dc.contributor.groupauthorCommunications Theoryen
dc.contributor.organizationUniversity of Ouluen_US
dc.date.accessioned2022-09-07T08:45:52Z
dc.date.available2022-09-07T08:45:52Z
dc.date.issued2022en_US
dc.descriptionFunding Information: This research has been financially supported by the Academy of Finland under the projects ROHM and 6G Flag-ship. The work of M. Leinonen has also been financially supported in part by the Academy of Finland (grant 340171). Publisher Copyright: © 2022 IEEE.
dc.description.abstractServing 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.en
dc.description.versionPeer revieweden
dc.format.extent5
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationRibeiro, L, Leinonen, M, Rathnayaka, I, Al-Tous, H & Juntti, M 2022, Channel Charting Aided Pilot Allocation in Multi-Cell Massive MIMO mMTC Networks . in 2022 IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication, SPAWC 2022 . IEEE International Workshop on Signal Processing Advances in Wireless Communications, IEEE, IEEE International Workshop on Signal Processing Advances in Wireless Communication, Oulu, Finland, 04/07/2022 . https://doi.org/10.1109/SPAWC51304.2022.9834004en
dc.identifier.doi10.1109/SPAWC51304.2022.9834004en_US
dc.identifier.isbn9781665494557
dc.identifier.otherPURE UUID: 13287a55-8872-4bd8-8373-b6894f0973a9en_US
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/13287a55-8872-4bd8-8373-b6894f0973a9en_US
dc.identifier.otherPURE LINK: http://www.scopus.com/inward/record.url?scp=85136053354&partnerID=8YFLogxKen_US
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/87405522/Al_tous_Multicell.pdfen_US
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/116534
dc.identifier.urnURN:NBN:fi:aalto-202209075344
dc.language.isoenen
dc.relation.ispartofIEEE International Workshop on Signal Processing Advances in Wireless Communicationen
dc.relation.ispartofseries2022 IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication, SPAWC 2022en
dc.relation.ispartofseriesIEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWCen
dc.relation.ispartofseriesVolume 2022-Julyen
dc.rightsopenAccessen
dc.titleChannel Charting Aided Pilot Allocation in Multi-Cell Massive MIMO mMTC Networksen
dc.typeA4 Artikkeli konferenssijulkaisussafi
dc.type.versionacceptedVersion

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