| Mobile Intelligent Network(MIN) is the close integration of Intelligent Network(IN) with it's open frame for services and mobile communication technique. In MIN, the concentration of service logic control brings immense service traffic and high load to in Service Control Point(SCP). Especially, the SCP in the third generation mobile communication system is the control core of whole network, must fulfil most control functions ever fulfiled by other entities of mobile network, such as: handover,alter location,authentication etc., which would bring higher load to SCP. The immense burst service traffic usually make SCP into overload state. It is important and realistic to have some thoroughly research on services properties and control mechanism to prevent of overload in MIN. Getting efficient practical load detection algorithms and overload control algorithms are important subjects which must be solved in the third generation mobile communication system.In this dissertation, we give thoroughly study on load detection technique,overload control mechanism and realizing tecnique of MIN with considering architecture feature and service traffic characteristic of mobile intelligent network, and based on some research achievement contributed by international and internal scholars on traffic feature,load control theory and mechanism. Moreover, some new load detection technique and overload control algorithm presented by author are discussed in detail.The results of study and main contents in the paper are given as follows:(1) Giving some analysis and study on mobile intelligent network and its evolutionary trends. With the evolutionary of core network and the development of mobile communication technique, intelligent network would completely integrate with mobile network in the third generation mobile communication system. On the other hand, the function integration of SCP and HLR in one network entity brings greater load to single node.(2) Giving some analysis and study on feature of service traffic in MIN. There exist intrincately self-similar or long-range dependence(LRD,Long Range Dependence) characteristics in the MIN traffic. This character have severe impact on network properties, which must be considered in the load control of MIN. Since the self-similar in traffic would bring immense burst to network, the conventional mathematical definition models are not applicable to network traffic, and some new models and analysis methods should be studied to describe the network traffic. Fractional Brown Motion(FBN) is a good model to approximatively describe that feature, which is basis to analysis traffic property of MIN.The influence of the queues under finite buffers by traffic with self-similar feature is anlayzed, and the method using wavelets to estimate Hurst parameter used to describe the burst of traffic is given reference to some papers, moreover the properties of synthetic multi traffic flow are analyzed simply. In this dissertation, method to analyze complexity of services system and model to analyze traffic in MIN are presented , method to definite and analyze burst of synthetic multi traffic flow is given also. (3) Giving thoroughly reseach on load detection mechanism of MIN, include:load sources,load detection parameters,relationship between parameter and load state,strategy of collecting information,parameter detection,data process method etc. In the dissertation, formal definition and analysis of load and resource is given ; Load state could be estimated by detecting internal resource, since internal resource ocupancy is interrelated to service traffic. A novel idea to detect node or system load state based on fusion of multi detection data is presented; It could get more exactly result by fusioning data from multi parameters, since multi parameters are used to detect load state. And method based on superfluous information to detect load of single node and method based on influence value allocated in optimization way to detect whole network are motioned in detail.(4) Giving...
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