SR-TTA: Spatial-Redundancy Test-Time Adaptation for Interference-Robust Respiration Sensing

Key points

• Future 6G networks aim to expose sensing as a native service by reusing communication infrastructure.1
• We show that a learned complex-weight beamformer recovers respiration by spatial nulling, and that the remaining gap to a per-recording oracle can be closed at deployment by label-free test-time adaptation.1
• Our spatial-redundancy test-time adaptation (SR-TTA), which maximizes consistency across random antenna subsets under an out-of-band spectral veto, preserves benign performance in our tests.1
• The respiration-rate error drops from 5.8 to 0.8 breaths per minute (bpm) under simulated in-band interference, and the pipeline maps onto the Open Radio Access Network (O-RAN) architecture as O-RAN distributed-unit (O-DU) range-gating, an adaptation xApp, and a calibration rApp.1

Sources (1)

• [1]SR-TTA: Spatial-Redundancy Test-Time Adaptation for Interference-Robust Respiration Sensing
  arXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 8, 11:42 AM

  We study respiration sensing on a cell-free massive multiple-input multiple-output (MIMO) base station, where a 64-antenna channel must be fused into a breathing waveform.

  Future 6G networks aim to expose sensing as a native service by reusing communication infrastructure.

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