Optimum frame size predictor for wireless Local Area Network

Electrical computers and digital processing systems: multicomput – Computer-to-computer protocol implementing – Computer-to-computer data framing

Reexamination Certificate

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Details

C709S235000, C370S333000, C714S776000

Reexamination Certificate

active

07096274

ABSTRACT:
The present invention relates to a method for predicting an optimum transmission frame size in a wireless computer network. The method comprises assessing transmission channel quality in the network, calculating an optimum length for the transmission frame, adjusting the length of the transmission frame to the predicted optimum length, transmitting the frame at its adjusted length and assessing the quality of the transmission of the frame. Prediction of the optimum frame size employs a Kalman filter which employs the parameters of bit error rate and random processing noise in the calculation of the predicted optimum frame length.

REFERENCES:
patent: 5307351 (1994-04-01), Webster
patent: 5828672 (1998-10-01), Labonte et al.
patent: 6236647 (2001-05-01), Amalfitano
patent: 6240099 (2001-05-01), Lim et al.
patent: 6463074 (2002-10-01), Johnson et al.
patent: 6625155 (2003-09-01), Dziong
patent: 6665283 (2003-12-01), Harris et al.

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