| 基于场景筛选的频谱需求预测算法 |
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| 引用本文： | 王首峰,张冬晨,汪汀岚,孟德香.基于场景筛选的频谱需求预测算法[J].电信工程技术与标准化,2015(5). |
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| 作者姓名： | 王首峰 张冬晨 汪汀岚 孟德香 |
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| 作者单位： | 中国移动通信集团设计院有限公司,北京,100080 |
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| 摘 要： | 本文通过对业务数据、运维数据的挖掘分析，结合网络实际情况，提出了一种基于场景筛选的频谱需求计算方法(SSRA)。本文所提理论方法，结合我国实际情况及数据，对我国未来2020年频谱需求量进行了测算。
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| 关 键 词： | 长期策略 频谱需求 移动通信 |
| 收稿时间： | 8/5/2014 12:00:00 AM |
| 修稿时间： | 2015/4/17 0:00:00 |
A Scenario based Spectrum Requirement Calculating Algorithm |
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| WANG SHOUFENG,ZHANG DONGCHEN,WANG TINGLAN and MENG DEXIANG.A Scenario based Spectrum Requirement Calculating Algorithm[J].Telecom Engineering Technics and Standardization,2015(5). |
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| Authors: | WANG SHOUFENG ZHANG DONGCHEN WANG TINGLAN and MENG DEXIANG |
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| Institution: | China Mobile Group Design Institute Co., Ltd.,China Mobile Group Design Institute Co., Ltd.,China Mobile Group Design Institute Co., Ltd.,China Mobile Group Design Institute Co., Ltd. |
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| Abstract: | Data traffic raises dramatically in recent years. The burst of data demands for high capacity of communication networks. This brings more challenges for the industry. Based on the traffic forecast, the industry can design a long-term strategy for communication development. Current spectrum requirement calculating algorithms request various inputs while have low precious results and low efficiency. To evaluate traffic forecast result, proper methodology is required. In this paper, a scenario based spectrum requirement calculating algorithm (SSRA). Furthermore, in order to prove the proposed SSRA algorithms, this paper presents a case study for China in 2020. |
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| Keywords: | long-term strategy spectrum requirement telecommunications |
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