Modeling and analysis of mobile communication network with multi-goals based on present, past and future states

1.针对无线移动的通信系统对寻呼代价和寻呼延迟的要求，研究了几种具有聚合机制的动态多步寻呼方案。我们发现，平衡分区的小区具有一些基本的性质，因此，它们可以用来设计有效的寻呼方案。我们的性能分析表明，所提出的方案是简单的，但令人满意的寻呼成本和寻呼延迟.为了有效地定位移动的Agent（MA），我们提出的位置管理，使用的MA的过去的运动行为。行为可以从主机迁移模式，从过去的操作等代理的用户的意图获得的变化，从行为的MA，所提出的系统的概念指定的主机，MA是好的连接。通过仿真实验证实，不仅利用直接位置信息的行为，而且利用Agent自身的行为，从最少的位置信息中找出Agent是可能的.通过仿真研究了考虑移动的节点移动性的二维蜂窝网络的性能。我们假设移动的节点按照随机路点方法移动。性能的衡量与切换呼叫的丢失概率，平均切换次数，平均小区停留时间。仿真结果表明：1）移动角度的变化对性能指标的影响很小; 2）当我们改变移动的节点的速度分布时，主导因素是移动的节点的低速。

1. Several dynamic multi-step paging schemes with aggregate mechanism to meet the requirements on paging cost and paging latency of wireless mobile communication systems are investigated. We show that the balanced partitions of subnets or cells possess some essential properties, and thus, they can be employed to design efficient paging schemes. Our performance analysis demonstrates that the proposed schemes are simple but satisfactory in paging cost and paging latency.2. In order to locate Mobile Agent (MA) efficiently, we propose the location management which uses behavior of the MA's past movement. Behavior may be grasped from the host migration pattern which changes with agent's user's intention obtained from the past operation etc. From behavior of the MA, the concept of the proposed system specifies the host for which the MA is good to be connected. It is confirmed with simulation experiments that it is possible to find out an agent from the minimum location information by using behavior of not only direct location information but also the one of agents.3. Performance of two-dimensional cellular networks considering the mobility of mobile nodes is investigated through the simulation. We assume that mobile nodes move according to the random way point method. The performance is measured with loss probability of handover call, mean handover times, and mean cell dwell time. From the simulation studies, we conclude that1)the effect of change of moving angle on the performance measures is very small.2)when we change the speed distribution of the mobile nodes, the dominant factor is the low speed of mobile nodes.