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A link adaptation approach for QoS enhancement in wireless networks

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3 Author(s)
Song Ci ; Dept of Electr. Eng., Nebraska Univ., Lincoln, NE, USA ; Sharif, H. ; Young, A.

We propose a new link adaptation approach for QoS enhancement in wireless networks. We utilize the Kalman filter, which predicts the local optimal frame size based on the channel quality varying based on the derived channel model. We have also presented the simulations and experimental results. The results show that the performance of proposed predictor is much better than other prediction methods like the moving average

Published in:

Local Computer Networks, 2001. Proceedings. LCN 2001. 26th Annual IEEE Conference on

Date of Conference:

2001