Abstract: Analysis of WWW traffic characters in mobile communication based on Fractional Brown Motions（FBM） is presented in this paper.The FBM has characters such as wireless traffic’s self-similarity，heavy-tailed and long-range dependence，so it can analyze wireless traffic’s traffic perfectly，and simulate relevant graph，we analyze traffic and session layer，website layer and object layer，get wireless networks characters after comparing cable network.

Key words: wireless communication traffic, Fractional Brown Motions（FBM）, self-similarity, heavy-tailed, long-range dependence

摘要： 该文首次提出了用分数次布朗运动来分析无线通信业务中的数据业务，分数次布朗运动具有自相似性、重尾性和长期相关性，因此能够完整地分析无线通信业务的特性并仿真出相应的业务图，从业务量到具体的会话层、网页层、对象层进行分析，并与相应的有线网络进行比较，得出无线环境下的网络特性。

关键词: 无线通信业务, 分数次布朗运动, 自相似性, 重尾性, 长期相关性