Dynamic Network Selection using Kernels

Abstract

We present a new algorithm for vertical handover and dynamic network selection, based on a combination of multi- attribute utility theory, kernel learning and stochastic gradient descent. We show that this new method is able to improve network selection in a non-stationary mobile environment. Furthermore, since the kernel employed is based on the utility… (More)
DOI: 10.1109/ICC.2007.1002

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