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Applying rapid fluctuation model to analysis of wireless channel utilization in GSM networks

机译:快速波动模型在GSM网络无线信道利用率分析中的应用

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Wireless channel utilization is an important indicator for network capacity and wireless resource usage; it is also the key to network evaluation and optimal assignment of wireless resources in GSM network optimization. A rapid fluctuation model is presented to describe the rapid variation features of the traffic in each cell in networks. On the basis of this model, the cells with similar features of traffic variation are grouped into one class, and all the cells in networks are then precisely clustered into more than one class. It is found by the K-S goodness-of-fit tests that with a particular call blocking probability, the traffic carried by a cell or a class of cells approximately follows the normal distribution. For each cell class, the confidence interval iteration algorithm and the 1-minute-granularity traffic data are employed to calculate the best-fit carried traffic and then analyze its wireless channel utilization. We applied the methods mentioned above to evaluating the wireless channel utilization of the GSM networks of Guangdong Mobile in Guangdong Province. The results revealed that the cells with the same numbers of available channels but in different cell classes have different characteristics of traffic fluctuation, and differ in wireless channel utilization, thus the approach offered in the paper is more efficient and precise.
机译:无线信道利用率是网络容量和无线资源利用率的重要指标。这也是GSM网络优化中网络评估和无线资源优化分配的关键。提出了一种快速波动模型来描述网络中每个小区的业务量的快速变化特征。在此模型的基础上,将具有类似流量变化特征的小区归为一类,然后将网络中的所有小区精确地聚类为一个以上的类。通过K-S拟合优度测试发现,在特定呼叫阻塞概率下,一个小区或一类小区所承载的业务量大致遵循正态分布。对于每个小区类别,采用置信区间迭代算法和1分钟粒度的流量数据来计算最适合的承载流量,然后分析其无线信道利用率。我们将上述方法应用于广东省广东移动GSM网络的无线信道利用率评估。结果表明,具有相同数量的可用信道但在不同小区类别中的小区具有不同的业务量波动特性,并且在无线信道利用率方面也有所不同,因此本文提供的方法更加高效,精确。

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