Improving Channel Charting using a Split Triplet Loss and an Inertial Regularizer
@inproceedings{Rappaport2021ImprovingCC, title={Improving Channel Charting using a Split Triplet Loss and an Inertial Regularizer}, author={Brian Rappaport and Emre Gonultacs and Jakob Hoydis and Maximilian Arnold and Pavan Koteshwar Srinath and Christoph Studer}, year={2021} }
Channel charting is an emerging technology that enables self-supervised pseudo-localization of user equipments by performing dimensionality reduction on large channel-state information (CSI) databases that are passively collected at infrastructure base stations or access points. In this paper, we introduce a new dimensionality reduction method specifically designed for channel charting using a novel split triplet loss, which utilizes physical information available during the CSI acquisition…
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