基于未来负载预测的无线异构网络自适应负载均衡算法

Adaptive load balancing algorithm based on future load predicting

为避免由于网络负载抖动而造成的频繁网络选择,本文为无线异构网络提出了一种预测网络未来负载的自适应负载均衡算法。通过马尔可夫链预测负载状态空间的概率,将预测到的概率通过负载趋势函数映射为趋势值,利用趋势值进行网络选择和自适应触发门限的调整。仿真结果表明,该算法能有效降低接入阻塞率及均衡切换次数。

In order to avoid the frequent network selection caused by the load fluctuation of networks, an adaptive load balancing algorithm with the future load predicting is proposed in heterogeneous wireless net- works. The probabilities of networks＇ future load states are predicted by the Markov-chain, then the predicted probabilities are mapped into load tread values by the load trend function. The trend values are used for the net work selection and the adaptive adjustment of the trigger threshold. The simulation results show that the pro- posed algorithm can reduce the access blocking probability and the times of the vertical handover.