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Estimation of diurnal bandwidth requirement using random point process and product density

机译：使用随机点过程和产品密度估计昼夜带宽要求

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摘要

The future wireless broadband technologies will offer bandwidth intensive services such as rich voice and high definition multimedia. The aggregate bandwidth requirement at base station of a wireless broadband network is the sum of bandwidth requirements from various services viz., VoIP, browsing, e-mail, streaming multimedia, interactive gaming etc. Due to variation in rates of arrival of service requests during the course of the day, the aggregate bandwidth required to service the traffic fluctuates during the course of the day. The aim of this paper is to demonstrate the use of certain correlation functions of stochastic point processes known as product densities to deal with the non-stationarity of the problem. Product densities are suitably defined so that they can be applied to broadband communication networks for non-homogeneous Poisson arrival rate. The aggregate bandwidth and its fluctuation are estimated using Random Point Process (a special class of stochastic point processes) model. An algorithm to evaluate expected aggregate bandwidth and its fluctuation during the course of the day is developed based on Random Point Process and product densities. Such a bandwidth estimation model can assist wireless broadband service providers to estimate time dependent radio spectrum requirements at the base station. The strength of the product density technique lies in expressing the moments of the aggregate bandwidth as integrals, numerical computation of which can be carried out with any technical computing software such as MATLAB.
机译：未来的无线宽带技术将提供带宽密集型服务，如丰富的语音和高清多媒体。无线宽带网络基站的聚合带宽要求是来自各种服务viz的带宽要求的总和。，VoIP，浏览，电子邮件，流式多媒体，交互游戏等由于服务请求的到货率的变化当天的过程中，在一天期间提供交通所需的聚合带宽波动。本文的目的是证明使用称为产品密度的随机点过程的某些相关函数来处理问题的非公平性。产品密度适当定义，使得它们可以应用于非同质泊松到达率的宽带通信网络。使用随机点过程（一类特殊的随机点流程）模型估计聚合带宽及其波动。基于随机点过程和产品密度，开发了一种评估预期聚集带宽及其波动的算法。这种带宽估计模型可以帮助无线宽带服务提供商来估计基站的时间相关的无线频谱要求。产品密度技术的强度在于将聚合带宽的时刻表达为积分，其数值计算可以与如MATLAB的任何技术计算软件进行。

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