In non-coherent bistatic MIMO ISAC, data-aided sensing yields a strict 3 dB effective SNR improvement at low SNR and faster performance scaling at high SNR versus pilot sensing, via closed-form random matrix theory asymptotics.
How much training is needed in multiple-antenna wireless links?
3 Pith papers cite this work. Polarity classification is still indexing.
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A site-specific Type-II codebook design infers UE-dependent beam subspaces from RSRP fingerprints to achieve Type-II-comparable CSI capture with substantially lower online overhead and UE complexity.
Derives closed-form BCRB for rain rate from LEO OFDM signals, showing multi-link fusion lowers RMSE bound to ~0.07 mm/h at 20 mm/h rain, and introduces weather-adaptive pilot allocation with three regimes plus sensing-optimal elevation at 15°.
citing papers explorer
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Fundamental Performance Limits of Non-Coherent ISAC: A Data-Aided Sensing Perspective
In non-coherent bistatic MIMO ISAC, data-aided sensing yields a strict 3 dB effective SNR improvement at low SNR and faster performance scaling at high SNR versus pilot sensing, via closed-form random matrix theory asymptotics.
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Bridging Standardized Codebook and Site-Specific Beamforming: A Unified Limited-Feedback Framework
A site-specific Type-II codebook design infers UE-dependent beam subspaces from RSRP fingerprints to achieve Type-II-comparable CSI capture with substantially lower online overhead and UE complexity.
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Rain Rate Estimation Bounds and Weather-Adaptive Pilot Allocation for LEO Satellite ISAC
Derives closed-form BCRB for rain rate from LEO OFDM signals, showing multi-link fusion lowers RMSE bound to ~0.07 mm/h at 20 mm/h rain, and introduces weather-adaptive pilot allocation with three regimes plus sensing-optimal elevation at 15°.