DocumentCode :
2511356
Title :
Link quality prediction for wireless devices with multiple radios
Author :
Duan, Qiuyi ; Wang, Lei ; Knutson, Charles D. ; Zappala, Daniel
Author_Institution :
Comput. Sci. Dept., Brigham Young Univ., Provo, UT
fYear :
2008
fDate :
23-26 June 2008
Firstpage :
1
Lastpage :
5
Abstract :
Communication between wireless devices ought to be as simple as possible; they should be able to seamlessly switch between different radios and network stacks on the fly in order to better serve the user. To make this a possibility, we consider the challenging problem of predicting link quality in a changing mobile environment. In this paper we present an algorithm that uses Weighted Least Squares Regression to predict whether a given link can meet application requirements in terms of throughput, delay, and jitter. We use a simulation study to demonstrate that our algorithm is able to predict link quality accurately and stably in a frequently changing mobile environment. The prediction algorithm is more accurate than several alternative algorithms, and the overhead caused by the link measurements is negligible in terms of throughput and power consumption.
Keywords :
jitter; least squares approximations; mobile radio; radio links; regression analysis; jitter; link quality prediction; mobile radio; weighted least squares regression method; wireless device; Communication switching; Delay; Jitter; Least squares methods; Power measurement; Prediction algorithms; Predictive models; Switches; Throughput; Wireless communication;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
World of Wireless, Mobile and Multimedia Networks, 2008. WoWMoM 2008. 2008 International Symposium on a
Conference_Location :
Newport Beach, CA
Print_ISBN :
978-1-4244-2099-5
Electronic_ISBN :
978-1-4244-2100-8
Type :
conf
DOI :
10.1109/WOWMOM.2008.4594869
Filename :
4594869
Link To Document :
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