Service differentiation schemes in IEEE 802.11 wireless LANs with variable frame size
International Journal of Computers and Applications
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In this paper, an optimal frame size predictor for indoorwireless network is studied. Kalman 拢lter is employed inorder to predict optimal frame size. The closed form ofstate transition equation and observation equations underindoor wireless channel are derived. For analyzing the proposed predictor, an revised Wall Attenuation Factor (WAF)indoor wireless channel model is developed and discussed.Through simulation, it shows that the proposed algorithmcan substantially lower the estimation error by the order of102. Moreover it is also easy to implement. In the contextof optimal frame size prediction, the proposed predictionmethodology can be applied to predict other state parameters like receiving power, bit error rate etc. and is alsoapplicable to outdoor wireless networks.