communication, wireless devices, predicting link quality, dynamic mobile environment
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.
Original Publication Citation
Qiuyi Duan, Lei Wang, Charles D. Knutson and Daniel Zappala. "Link Quality Prediction for Wireless Devices with Multiple Radios." Proceedings of the Ninth IEEE International Symposium on a World of Wireless Mobile and Multimedia Networks (WoWMoM), Newport Beach, California, June 23-27, 28.
BYU ScholarsArchive Citation
Duan, Qiuyi; Knutson, Charles D.; Wang, Lei; and Zappala, Daniel, "Link Quality Prediction for Wireless Devices with Multiple Radios" (2008). Faculty Publications. 181.
Physical and Mathematical Sciences
© 2008 Institute of Electrical and Electronics Engineers
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