A load balancing method for heterogeneous wireless network load advanced transfer

Abstract

The invention relates to a load balancing method for heterogeneous wireless network load advanced transfer. The method comprises the following steps: 1) predicting based on an initial seasonal movement average differential model to obtain a predicted value for history data; 2) modifying parameters of the initial seasonal movement average differential model; 3) acquiring call arrival rate data based on a time sequence in the heterogeneous wireless network during a current time period, calculating a prediction step, acquiring a prediction time, and acquiring a predicted call arrival rate at the prediction time; 4) establishing an advanced guiding factor according to the predicted call arrival rate at the prediction time, selecting a target network to which services are switched in candidate networks; and 5) when services are switched to the target network, setting an advanced bandwidth transfer value according to the network conditions at the prediction time. Compared with the existing technology, the method provided by the invention has the advantages of active load balancing, scientific and accurate prediction algorithm, predictive switching algorithm, load lagging elimination, call blocking rate reduction and the like.

Description

technical field [0001] The invention relates to a load balancing method of heterogeneous wireless networks, in particular to a load balancing method of forward load transfer of heterogeneous wireless networks. Background technique [0002] A heterogeneous wireless network refers to a network in which two or more different types of networks serve users as a whole, such as 2G networks, 3G networks, 4G networks, and WLAN networks. to wireless resource management, and load balancing is one of the key technologies of wireless resource management. [0003] Existing heterogeneous wireless network load balancing often sets complex balancing thresholds. When the load exceeds the threshold, the load balancing algorithm is triggered to reject new user requests or balance network loads. In this method, the network call blocking rate is high and it is very easy to switch services to unsuitable networks to reduce user QoS. If load balancing is actively considered in the switching phase,...

AI Technical Summary

Problems solved by technology

Similarly, in a heterogeneous wireless network, if the network load adjustment lags behind, it is easy to have network congestion and load balance imbalance at the next higher CAR moment.

Therefore, it is necessary to overcome the shortcomings of load rate lag

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