An alternative metric for channel estimation with applications in Bluetooth scheduling

Abstract

Once Wireless Local Networks (WLAN) and Bluetooth devices share the same frequency band (ISM) there is a potential risk of interference if they are supposed to operate close to each other. Additionally, the signal fading effects on mobile Bluetooth networks may deeply affect the overall performance. That is why the use of strategies that minimize transmission on channels with great interference or severe fading is so important. This paper proposes and investigates the use of parameter m of the Nakagami distribution, as the channel estimation metric. We observed that parameter m may provide faster estimates on the channel condition than the bit error rate metric. This metric is applied in a new scheduling algorithm for Bluetooth piconets. Simulation results showing the performance of the algorithm for different traffic conditions are eventually presented. © 2005 by International Federation for Information Processing.