| 一种基于NCS数据的移动通信网络话务分布预测的模型及算法 |
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| 作者姓名： | 张冬岩 赵彤 姜志鹏 吴鸽鹏 |
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| 作者单位： | 1. 中国科学院大学计算机与控制学院, 北京 100049;
2. 中国科学院大学数学科学学院, 北京 100049 |
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| 基金项目： | Supported by National Natural Science Foundation of China(71271204,11101420) |
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| 摘 要： | 目前已提出的一些计算移动通信网络话务分布的算法都不适合大规模的计算,并且不十分适合当前的移动通信网络.基于最优化理论,结合移动通信网络的实际特点,提出一个适于高精度话务分布预测的最优化模型.此外,为了便于计算机实现,又从最优化数学模型推导出一个更易实施的算法.话务分布预测算法通过比较NCS数据和实际的场强值得以实现.该算法的优点是无需增加额外的硬件设备并适合大规模计算.实验结果显示该算法既高效又精确.
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| 关 键 词： | 话务分布预测 NCS 数据 移动通信网络 最优化模型 |
| 收稿时间： | 2013-01-14 |
| 修稿时间： | 2013-04-15 |
An optimization model and its algorithm of traffic distribution prediction in mobile communication networks based on NCS data |
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| Authors: | ZHANG Dong-Yan ZHAO Tong JIANG Zhi-Peng WU Ge-Peng |
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| Institution: | 1.School of Computer and Control, University of Chinese Academy of Sciences, Beijing 100049, China;2.School of mathematical Sciences, University of Chinese Academy of Sciences, Beijing 100049, China |
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| Abstract: | Though some algorithms were proposed to predict the traffic distribution in mobile communication networks automatically, they are not suitable for large-scale calculation and application in current mobile communication networks. Considering the characters of mobile communication networks, we present an optimization model for precise traffic distribution prediction based on the optimization theory. Moreover, a practical algorithm is derived in order to realize the optimization model by computer. It aims to identify the most possible position of the traffic by matching the NCS data with the field strength prediction results. The experimental results show that the algorithm is practical and efficient. |
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| Keywords: | traffic distribution prediction NCS data mobile communication networks optimization model |
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