~/talk

ADR-X: ANN-Assisted Wireless Link Rate Adaptation for Compute-Constrained Embedded...

name:Hao Yin
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name:Perry Lea
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slides:none on file

System achieves 10× lower packet loss (down to 0.1–0.5% versus typical 2–10%) while running ~100× faster than prior RL work, with inference taking 170–380 μs on a 400 MHz MCU. It combines an ANN that maps wireless CSI into a wire-like PSR predictor plus a contextual multi-armed bandit for MCS selection, uses online one-step updates and federated pretraining to reach 10–15 s convergence (40 s cold start), handles bursty losses, and adds conservative retransmission guardrails and CSI feature engineering.

AI-written summary · about

  1. 0:00ADR-X introduction
  2. 2:33Game engines and controllers
  3. 5:19Packet loss impact
  4. 7:24Limitations of rate adaptation
  5. 9:51ANN-assisted rate adaptation
  6. 11:18Faster ANN design
  7. 13:24Online learning challenges
  8. 15:29ADR-X performance
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