By Michael Hempel Tue, 01/30/2018 - 11:00
Publication Type:
Conference PaperSource:
Local Computer Networks, 2001. Proceedings. LCN 2001. 26th Annual IEEE Conference on (2001)Keywords:
channel quality, fading channels, filtering theory, IEEE 802.11b wireless LAN specification, indoor channel model, indoor radio, Kalman filter, Kalman filters, link adaptation, local optimal frame size, moving average, multipath channels, multipath fading, prediction theory, predictor performance, QoS enhancement, quality of service, radio links, radio networks, simulation, simulations, time-varying channel, time-varying channels, wireless networksAbstract:
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
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