一种分层蜂窝网中基于用户分类的建模分析方法
doi: 10.3724/SP.J.1146.2006.00294
A User-Classified Method for Modeling and Analysis of Hierarchical Cellular Networks
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摘要: 随着无线网中用户需求的业务量持续增大，且用户具有不同移动性，分层蜂窝结构(HCS)被提出。该文研究一种微小区/宏小区的双层蜂窝结构的网络性能，此系统采用双向溢出策略，呼叫用户根据其速度选择合适的接入层(慢用户接入微小区，快用户接入宏小区)。该文提出一种用户分类建模分析方法(分为快用户和慢用户)来估计分层蜂窝网络性能，它不同于以往的蜂窝层分类(分为微小区层和宏小区层)建模方法。此用户分类模型包括一个快用户模型和一个慢用户模型，两个模型都是简单的一维马尔可夫过程。理论分析和仿真结果都证明了用户分类分析模型的正确性。随后利用此模型分析了为速度阈值的作用和被阻用户重复呼叫情况下的网络性能。Abstract: As continuing growth in traffic volume from users with varying degrees of mobility in wireless networks, a Hierarchical Cellular Structures (HCS) has been suggested. In this paper, the performance of a two-tier microcell/macrocel1 cellular system with bidirectional call-overflow scheme is studied, where cell selection in hierarchical architecture is based on the velocity of the mobile making the calls. Different from the general layer-classified (macrocell and microcell) analysis, a user-classified (fast and slow) modeling method is developed for evaluating the performance of such systems. The user-classified models consist of a fast user model and a slow user model both of which are simple one-dimension Markov process transition diagrams. Theoretical analysis and numerical evaluation show that the analytical models are reliable. Furthermore, effect of velocity threshold and blocked call repeat phenomenon using the models are examined.
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