Channel Charting with Angle-Delay-Power-Profile Features and Earth-Mover Distance
| dc.contributor | Aalto-yliopisto | fi |
| dc.contributor | Aalto University | en |
| dc.contributor.author | Al-Tous, Hanan | en_US |
| dc.contributor.author | Kazemi, Parham | en_US |
| dc.contributor.author | Studer, Christoph | en_US |
| dc.contributor.author | Tirkkonen, Olav | en_US |
| dc.contributor.department | Department of Information and Communications Engineering | en |
| dc.contributor.editor | Matthews, Michael B. | en_US |
| dc.contributor.groupauthor | Communications Theory | en |
| dc.contributor.organization | Swiss Federal Institute of Technology Zurich | en_US |
| dc.date.accessioned | 2023-04-05T06:18:16Z | |
| dc.date.available | 2023-04-05T06:18:16Z | |
| dc.date.issued | 2023-03-07 | en_US |
| dc.description | Funding Information: This work was funded in part by the Academy of Finland (grant 319484), and by the WINDMILL project funded by the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement No 813999. Funding Information: This work was funded in part by the Academy of Finland (grant 319484), and by the WINDMILL project funded by the European Union's Horizon 2020 research and innovation program under the Marie Sklodowska-Curie grant agreement No 813999. Publisher Copyright: © 2022 IEEE. | openaire: EC/H2020/813999/EU//WINDMILL | |
| dc.description.abstract | We are interested in deducing whether two user equipments (UEs) in a cellular system are at nearby physical locations from measuring similarity of their channel state information (CSI). This becomes essential for fingerprinting localization as well as for channel charting. A channel chart is a low dimensional (e.g., 2-dimensional) radio map based on CSI measurements only, which is created using self-supervised machine learning techniques. Analyzing CSI in terms of the angle-delay power profile (ADPP) takes advantage of the uniqueness of the multipath channel between the base station and the UE over the geographical region of interest. We consider super-resolution features in the angle and delay domains in massive multiple-input multiple-output (MIMO) systems and consider the earth-mover distance (EMD) to measure the distance between two features. Simulation results based on the DeepMIMO data set show that the super-resolution ADPP features with EMD leads to a better quality channel chart as compared to other CSI features and distances from the literature. | en |
| dc.description.version | Peer reviewed | en |
| dc.format.extent | 7 | |
| dc.format.extent | 1195-1201 | |
| dc.format.mimetype | application/pdf | en_US |
| dc.identifier.citation | Al-Tous, H, Kazemi, P, Studer, C & Tirkkonen, O 2023, Channel Charting with Angle-Delay-Power-Profile Features and Earth-Mover Distance . in M B Matthews (ed.), 56th Asilomar Conference on Signals, Systems and Computers, ACSSC 2022 . Conference Record - Asilomar Conference on Signals, Systems and Computers, vol. 2022-October, IEEE, pp. 1195-1201, Asilomar Conference on Signals, Systems, and Computers, Virtual, Online, United States, 31/10/2022 . https://doi.org/10.1109/IEEECONF56349.2022.10052099 | en |
| dc.identifier.doi | 10.1109/IEEECONF56349.2022.10052099 | en_US |
| dc.identifier.isbn | 978-1-6654-5906-8 | |
| dc.identifier.issn | 1058-6393 | |
| dc.identifier.other | PURE UUID: 0ac307a4-b29e-4c63-ab1e-392b79ced057 | en_US |
| dc.identifier.other | PURE ITEMURL: https://research.aalto.fi/en/publications/0ac307a4-b29e-4c63-ab1e-392b79ced057 | en_US |
| dc.identifier.other | PURE LINK: http://www.scopus.com/inward/record.url?scp=85150152757&partnerID=8YFLogxK | en_US |
| dc.identifier.other | PURE FILEURL: https://research.aalto.fi/files/104535746/Asilomar2022_Angle_delay_power_CSI_feature_12_.pdf | en_US |
| dc.identifier.uri | https://aaltodoc.aalto.fi/handle/123456789/120348 | |
| dc.identifier.urn | URN:NBN:fi:aalto-202304052666 | |
| dc.language.iso | en | en |
| dc.relation | info:eu-repo/grantAgreement/EC/H2020/813999/EU//WINDMILL | en_US |
| dc.relation.ispartof | Asilomar Conference on Signals, Systems, and Computers | en |
| dc.relation.ispartofseries | 56th Asilomar Conference on Signals, Systems and Computers, ACSSC 2022 | en |
| dc.relation.ispartofseries | Conference Record - Asilomar Conference on Signals, Systems and Computers | en |
| dc.relation.ispartofseries | Volume 2022-October | en |
| dc.rights | openAccess | en |
| dc.title | Channel Charting with Angle-Delay-Power-Profile Features and Earth-Mover Distance | en |
| dc.type | Conference article in proceedings | fi |
| dc.type.version | acceptedVersion |
