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为了研究移动无线网络中的业务行为特征,提出了一种连续时间半马尔科夫业务行为模型(CTSMM).基于国内某地无线蜂窝网络中采集得到的业务数据,进行了深入的业务行为特性挖掘分析;从业务会话级层面分别针对单小区和多小区网络环境进行了会话到达、会话持续时间和会话量等重要特征的研究分析,并以此为基础提出CTSMM,该模型可以较好地反映无线网络中的业务行为特性.同时基于实际采集的业务数据对所提业务行为模型进行了大量比较验证,结果表明,该行为模型基本符合无线网络中业务行为规律,可以基于该业务行为模型进行面向业务行为的无线网络设计、资源规划与优化、频谱动态利用等.
In order to study the business behavior characteristics in mobile wireless networks, a continuous-time semi-Markov service behavior model (CTSMM) is proposed. Based on the business data collected in a wireless cellular network in a certain place in China, the in-depth business behavior feature mining From the perspective of session level, we study and analyze the key features of session arrival, session duration and session volume in single-cell and multi-cell network respectively. Based on this, we propose CTSMM, which can reflect wireless Network.At the same time, based on the actual business data collected, the proposed business behavior model has been compared and verified in a large number of ways. The results show that the behavior model is basically in line with the business rules in wireless networks, and can be based on the business behavior model for business-oriented Behavioral wireless network design, resource planning and optimization, spectrum utilization and so on.