Pirkl J, Ott J, Stahlke M, Yammine G, Feigl T, Mutschler C (2025)
Publication Type: Conference contribution
Publication year: 2025
Publisher: IEEE Computer Society
Pages Range: 886-890
Conference Proceedings Title: Conference Record - Asilomar Conference on Signals, Systems and Computers
Event location: Pacific Grove, CA, USA
ISBN: 9798331587451
DOI: 10.1109/IEEECONF67917.2025.11443931
Channel charting (CC) has become a key technology for RF-based localization, enabling unsupervised radio fingerprinting, even in non line of sight scenarios, with a minimum of reference position labels. However, most CC models assume fixed-size inputs, such as a constant number of antennas or channel measurements. In practical systems, antennas may fail, signals may be blocked, or antenna sets may change during handovers, making fixed-input architectures fragile. Existing radio-fingerprinting approaches address this by training separate models for each antenna configuration, but the resulting training effort scales prohibitively with the array size.We propose Adaptive Positioning (AdaPos), a CC architecture that natively handles variable numbers of channel measurements. AdaPos combines convolutional feature extraction with a transformer-based encoder using learnable antenna identifiers and self-attention to fuse arbitrary subsets of CSI inputs. Experiments on two public real-world datasets (SISO and MIMO) show that AdaPos maintains state-of-the-art accuracy under missing-antenna conditions and replaces roughly 57 configuration-specific models with a single unified model. With AdaPos and our novel training strategies, we provide resilience to both individual antenna failures and full-array outages.
APA:
Pirkl, J., Ott, J., Stahlke, M., Yammine, G., Feigl, T., & Mutschler, C. (2025). Resilient Channel Charting Under Varying Radio Link Availability. In Michael B. Matthews (Eds.), Conference Record - Asilomar Conference on Signals, Systems and Computers (pp. 886-890). Pacific Grove, CA, USA: IEEE Computer Society.
MLA:
Pirkl, Jonas, et al. "Resilient Channel Charting Under Varying Radio Link Availability." Proceedings of the 59th Asilomar Conference on Signals, Systems and Computers, ACSSC 2025, Pacific Grove, CA, USA Ed. Michael B. Matthews, IEEE Computer Society, 2025. 886-890.
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