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An MDP-based Vertical Handoff Decision Algorithm for Heterogeneous Wireless Networks

机译:基于MDP的异构无线网络垂直切换决策算法

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The heterogeneity is one of the key characteristics of the future wireless networks. How to provide terminal users with the best connection anytime and anywhere become more important. In this paper, a vertical handoff decision algorithm for the heterogeneous wireless networks is proposed based on the Markov Decision Process (MDP). First the factors which determine the choices of the wireless networks is discussed in detail. Then the problem is resolved by a Markov decision process with the objective of maximizing the total expected reward per connection. The analytic hierarchy process is used to assign the weight to the reward from every attribute such as the power, mobility, energy etc. The numerical simulations of two different scenes shows that the proposed algorithm can effectively reduce switching times and improve the performance of the handoff in the heterogeneous networks. The comparison among the proposed algorithm and other vertical handoff decision algorithms, such as Simple Additive Weighting (SAW), RSS based algorithm, also shows the better performance of our algorithm.
机译:异质性是未来无线网络的主要特点之一。如何为终端用户提供最佳的连接随时随地变得更加重要。在本文中,用于异构无线网络垂直切换判定算法是基于Markov决策过程(MDP)提出。第一,其确定无线网络的选择的因素进行了详细讨论。那么问题是通过与目标最大化每个连接的总预期回报的马尔可夫决策过程解决。层次分析法被用于将权重分配给从每个属性奖励如电源,移动性,能量等的两个不同的场景示出了数值模拟,该算法可以有效地减少切换时间,提高切换性能在异构网络。该算法和其它垂直切换决策算法,如简单加权(SAW)之间的比较,基于RSS的算法,也说明我们的算法的性能更好。

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