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Intelligent Methods for Traffic Control in Telecommunication Networks with Local Congestion

局部拥塞电信网络流量控制的智能方法

基本信息

批准号：
12680428
负责人：
YAMADA Takako
金额：
$ 2.56万
依托单位：
The University of Electro-Communications (2001)Yamagata University (2000)
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (C)
财政年份：
2000
资助国家：
日本
起止时间：
2000 至 2001
项目状态：
已结题

项目摘要

In our research project, we treated two kinds of network. One is the high-speed transmission of wired networks and the other is the low bandwidth of mobile wireless networks both of which need flexible traffic control mechanism. To cope with control problems of high-speed and mobile networks, the network traffic methods must be adaptive, flexible, and intelligent for efficient network management. Therefore, use of intelligent methods can be a solution for the traffic control of telecommunication networks. At first, we introduce an integrated fuzzy policing-routing mechanism for high-speed networks. It covers the source and network models ; fuzzy policing mechanism ; tagging switchfetation scheme ; direct path fuzzy controller ; fuzzy routing mechanism ; and simulation results. We proposed a fuzzy admission control scheme to discuss the previous work ; proposed scheme ; and simulation results. An intelligent call admission control and routing framework for large scale networks based on … More cooperative agents as also proposed including distributed artificial intelligence approach. We proposed distributed network architecture to explanate different agents. As an another side of our approach , we introduce a simulation system for base station allocation in mobile communication networks. We give consideration for simulation. We show a simulation flowchart ; simulation parameters ; base station allocation procedure ; and simulation results. In this approach we propose a base station allocation policy for IMT-2000 mobile phone systems. We consider a situation where a region is to be covered by two different kinds of cells, macro cells and micro cells, each of which has its own base station at the center. We compare several variants of allocation policies through simulation experiments and show that a better allocation is obtained by a simple algorithm stated in the paper. Further, we show that the use of two kinds of cells/base stations is effective to get more flexible allocation for time variations of user locations. Less

在我们的研究项目中，我们处理了两种网络。有线网络的高速传输和移动的无线网络的低带宽都需要灵活的流量控制机制。为了科普高速和移动的网络的控制问题，网络流量的方法必须是自适应的，灵活的，和智能的有效的网络管理。因此，使用智能方法可以是用于电信网络的业务控制的解决方案。首先，我们介绍了一个集成的模糊策略，路由机制的高速网络。它涵盖了源和网络模型;模糊监管机制;标记交换方案;直接路径模糊控制器;模糊路由机制;和仿真结果。我们提出了一个模糊接纳控制方案，讨论以前的工作，提出的方案和仿真结果。的大规模网络智能呼叫接纳控制和路由框架 ...更多信息合作代理也提出了包括分布式人工智能的方法。我们提出了分布式网络架构，以实现不同的代理。作为我们的方法的另一个方面，我们介绍了一个模拟系统的基站分配在移动的通信网络。我们考虑模拟。我们展示了仿真流程图、仿真参数、基站分配过程和仿真结果。在这种方法中，我们提出了一个IMT-2000移动的电话系统的基站分配政策。我们考虑的情况下，一个区域是由两种不同类型的小区，宏小区和微小区，其中每个都有自己的基站在中心覆盖。我们比较了几种不同的分配策略，通过模拟实验，并表明一个更好的分配是由一个简单的算法在文件中所述。此外，我们表明，使用两种细胞/基站是有效的，以获得更灵活的分配用户位置的时间变化。少