Even when coexistence techniques are in place to reduce the impact of interference, over-consumption is inevitable due to packet collision resulting in multiple retransmissions. To ensure good signal quality, more flexible countermeasures are needed to allow communication protocols. This paper proposes a study of the performance of a Bagged Tree to predict the optimal Low Noise Amplifier (LNA) Gain according to the previously received packets with reduced input data. Our study shows that stable interferer power AGC index prediction improves by 10% points the packet error rate and 96% of the future bad reception packet can be detected.

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Reducing BLE Energy Loss in Busy 2.4GHz Band

  • Morgane Joly,
  • Éric Renault,
  • Fabian Rivière

摘要

Even when coexistence techniques are in place to reduce the impact of interference, over-consumption is inevitable due to packet collision resulting in multiple retransmissions. To ensure good signal quality, more flexible countermeasures are needed to allow communication protocols. This paper proposes a study of the performance of a Bagged Tree to predict the optimal Low Noise Amplifier (LNA) Gain according to the previously received packets with reduced input data. Our study shows that stable interferer power AGC index prediction improves by 10% points the packet error rate and 96% of the future bad reception packet can be detected.