An optimal frame size predictor for indoor wireless network

Author

Ci, Song ; Sharif, Hamid ; Young, Albert

Author_Institution

Dept. of Electr. Eng., Nebraska Univ., Lincoln, NE, USA

fYear

2001

fDate

10-12 Oct. 2001

Firstpage

322

Lastpage

326

Abstract

An optimal frame size predictor for an indoor wireless network is studied. A Kalman filter is employed in order to predict optimal frame size. The closed form of state transition equation and observation equations under indoor wireless channel are derived. For analyzing the proposed predictor, a revised wall attenuation factor (WAF) indoor wireless channel model is developed and discussed. Through simulation, it is shown that the proposed algorithm can substantially lower the estimation error by the order of 10². Moreover it is also easy to implement. In the context of optimal frame size prediction, the proposed prediction methodology can be applied to predict other state parameters like receiving power bit error rate etc., and is also applicable to outdoor wireless networks.

Keywords

Kalman filters; indoor radio; optimisation; packet radio networks; quality of service; Kalman filter; QoS; estimation error; indoor wireless channel; indoor wireless network; observation equations; optimal frame size predictor; quality of service; state transition equation; wall attenuation factor; Additive noise; Equations; Estimation error; Kalman filters; Packet radio networks; Physical layer; Quality of service; USA Councils; Wireless LAN; Wireless networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Networks, 2001. Proceedings. Ninth IEEE International Conference on

ISSN

1531-2216

Print_ISBN

0-7695-1187-4

Type

conf

DOI

10.1109/ICON.2001.962361

Filename

962361