A Markov-Based Multi-Attribute Vertical Handoff Decision Algorithm

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Abstract:

Many vertical handoff decision algorithms have not considered the impact of call dropping during the vertical handoff decision process. Besides, most of current multi-attribute vertical handoff algorithms cannot predict users’ specific circumstances dynamically. In this paper, we formulate the vertical handoff decision problem as a Markov decision process, with the objective of maximizing the expected total reward during the handoff procedure. A reward function is formulated to assess the service quality during each connection. The G1 and entropy methods are applied in an iterative way, by which we can work out a stationary deterministic policy. Numerical results demonstrate the superiority of our proposed algorithm compared with the existing methods.

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Advanced Materials Research (Volumes 785-786)

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1403-1407

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September 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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