基于回归模型的WCDMA网新建基站业务量预测模型研究

• 作 者: 高畅 朱尚
• 机 构: 北京电信规划设计院有限公司,中国联合网络通信有限公司合肥市分公司,
• 出 处: 公路交通科技(应用技术版)
• 发表日期: 2015年09期
• 关键词: 语音业务量 预测模型 数据业务量 KPI指标 业务量预测 回归模型 精准性 重要参照 预测方法 最大误差

随着WCDMA网络基站数量不断增加,布局类粗犷式建设投入已经完成,目前对基站建设投放精准性要求逐步提高。本文在对国内目前业务量预测方法的调研和评估基础上,从相关性角度出发,建立新建基站业务量预测模型,并通过相关性和误差分析对预测模型精准性做给与评估。业务量预测模型作为网络精细化建设重要参照的指标,对提高资源利用率,合理安排建设进度具有重要意义。

As the number of WCDMA network base stations continues to increase, the investment in the construction of rugged layouts has been completed. At present, the requirements on the accuracy of base station deployment are gradually increasing. Based on the investigation and assessment of the current domestic traffic forecasting methods, this paper establishes a new base station traffic forecasting model from the perspective of relevance, and gives the assessment of the forecasting model accuracy through correlation and error analysis. Traffic forecasting model as an important reference for network refinement indicators, to improve resource utilization, a reasonable arrangement of the construction progress is of great significance.