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基于模拟退火的移动业务分布预测算法
引用本文:孙娟娟,黄宗潘,杨大成.基于模拟退火的移动业务分布预测算法[J].电子与信息学报,2008,30(9):2225-2228.
作者姓名:孙娟娟  黄宗潘  杨大成
作者单位:北京邮电大学93信箱,北京,100876
摘    要:该文提出了一种基于模拟退火的业务分布预测算法,该算法采用模拟退火算法求解超定方程组得到业务密度值。并且提出了业务密度权值的计算方法,从而在用模拟退火算法进行业务分布预测的基础上,给出了利用业务密度权值进行业务分布预测的算法。采用实际统计数据计算结果表明,该方法能够有效地预测业务的分布。

关 键 词:无线网络仿真    业务分布    模拟退火    权值
收稿时间:2007-2-5
修稿时间:2007-5-17

Algorithms of Mobile Traffic Distribution Forecasting Based on Simulated Annealing
Sun Juan-juan,Huang Zong-pan,Yang Da-cheng.Algorithms of Mobile Traffic Distribution Forecasting Based on Simulated Annealing[J].Journal of Electronics & Information Technology,2008,30(9):2225-2228.
Authors:Sun Juan-juan  Huang Zong-pan  Yang Da-cheng
Affiliation:P.O.BOX 93 Beijing University of Posts and Telecommunications, Beijing 100876, China
Abstract:An algorithm of traffic distribution forecasting based on simulated annealing is proposed, which is used to calculate the traffic density by simulated annealing. Furthermore, the weight value of traffic density is taken into account in this paper, which is introduced in traffic forecasting based on simulated annealing. The results of real statistical traffic show that the algorithms can forecast the mobile traffic distribution effectively.
Keywords:Wireless network simulating  Traffic distribute  Simulated annealing  Weight value
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