Intelligent simulation for the estimation of the uplink outage probabilities in CDMA networks

F. Vázquez-Abad, I. Baltcheva
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引用次数: 3

Abstract

In CDMA mobile networks, callers that are transmitting through a power station may cause interference at other power stations. When many users are already connected in the network, a new call may cause the signal to noise ratio to drop below a tolerance threshold. This phenomenon is called 'outage' and it provides an important measure of performance, useful in the design and control of the system. Evaluating this probability analytically has proven unsuccessful and only approximations exist today. Direct simulation of such networks is at present very slow because outage occurs infrequently - it may take hours to simulate directly a realistic model if a reasonable precision is desired. Thus this approach is not useful for design problems where one wishes to evaluate and compare performance of many different network models. In this work we implement a change of measure to estimate the outage probability using importance sampling. We present a functional estimator and a stochastic approximation method that are capable of learning the best parameters for the change of measure.
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CDMA网络中上行链路中断概率估计的智能仿真
在CDMA移动网络中,通过一个电站进行传输的呼叫者可能会对其他电站造成干扰。当网络中已经连接了许多用户时,一个新的呼叫可能会导致信噪比下降到容限阈值以下。这种现象被称为“中断”,它提供了一个重要的性能衡量标准,在系统的设计和控制中很有用。对这一概率进行分析评估已被证明是不成功的,目前只存在近似值。这种网络的直接模拟目前非常缓慢,因为中断很少发生——如果需要合理的精度,直接模拟一个现实的模型可能需要几个小时。因此,这种方法对于那些希望评估和比较许多不同网络模型的性能的设计问题是没有用的。在这项工作中,我们实现了一个度量的变化,以估计停机概率使用重要抽样。我们提出了一种能够学习测度变化的最佳参数的泛函估计器和随机逼近方法。
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