Channel Charting in Real-World Coordinates
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Date
2023
Publication Type
Conference Paper
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yes
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Abstract
Channel charting is an emerging self-supervised method that maps channel state information (CSI) to a low dimensional latent space, which represents pseudo-positions of user equipments (UEs). While this latent space preserves local geometry, i.e., nearby UEs are nearby in latent space, the pseudo positions are in arbitrary coordinates and global geometry is not preserved. In order to enable channel charting in real-world coordinates, we propose a novel bilateration loss for multipoint wireless systems in which only the access point (AP) locations are known—no geometrical models or ground-truth UE position information is required. The idea behind this bilateration loss is to compare the received power at pairs of APs in order to determine whether a UE should be placed closer to one AP or the other in latent space. We demonstrate the efficacy of our method using channel vectors from a commercial ray-tracer.
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published
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Book title
GLOBECOM 2023 - 2023 IEEE Global Communications Conference
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Pages / Article No.
3940 - 3946
Publisher
IEEE
Event
2023 IEEE Global Communications Conference (GLOBECOM 2023)
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Organisational unit
09695 - Studer, Christoph / Studer, Christoph
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Funding
207314 - WiLoC: Wireless Localization with Channel State Information: Algorithms, Analysis, Defenses, and Deployment (SNF)