Improving Channel Classification in Bluetooth Networks using Distributed Detection

M. Bolic (Canada)


Bluetooth, distributed detection, adaptive frequencyhopping


In order to allow for simultaneous functioning of Bluetooth network with other networks in the ISM 2.4GHz band, some sort of intelligence in Bluetooth devices for detecting and avoiding the interferers is necessary. In Bluetooth networks, both the master and the slaves perform the detection algorithms. The slaves' decisions about the interferers are collected by the master who combines the decisions and produces the final result. In this work, we compare the performance based on combing hard decisions from the slaves with the soft decision from the master versus the method that relies completely on soft decisions.

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