Proposes Topological Resilience Index (TRI) via persistent homology to quantify resilience of deep learning OFDM receivers to channel shifts, claiming superior warning lead and BER reduction in simulations across ITU-R transitions.
A universal neural receiver that learns at the speed of wireless
2 Pith papers cite this work. Polarity classification is still indexing.
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Zak-OTFS carriers, realized as pulsone waveforms, yield predictable non-selective I/O relations under bounded channel spreads due to their structure as common eigenvectors of the discrete Heisenberg-Weyl group, with similar structure shared by AFDM, OTSM and ODDM.
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Resilience Characterization of AI-Native Wireless Receivers via Persistent Homology
Proposes Topological Resilience Index (TRI) via persistent homology to quantify resilience of deep learning OFDM receivers to channel shifts, claiming superior warning lead and BER reduction in simulations across ITU-R transitions.
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Zak-OTFS: A Predictable Physical Layer for Communications and Sensing
Zak-OTFS carriers, realized as pulsone waveforms, yield predictable non-selective I/O relations under bounded channel spreads due to their structure as common eigenvectors of the discrete Heisenberg-Weyl group, with similar structure shared by AFDM, OTSM and ODDM.