一种基于蒙特卡洛仿真的精确建站方法

doi:10.3969／j.issn.1000-0801.2012.10.025

Abstract

Abstract:

In order to reduce CAPEX and avoid destructing the existing network, the operators pay more attention to improve the accurateness of add new site. In this paper, a new method of scattering users based on measurement report（MR）is present, which can promote position accuracy to 100 meter. After locating the weak coverage or high load areas, Monte-Carlo simulation is employed, and then users are scattered in these areas repeatedly, and the optimal setting and comprehensive value is calculated based on genetic algorithm, which can be used as threshold to decide to add a new site with optimal position and configuration. Then a case is used to validate the method at the end.

Key words: accurate position, new site planning, Monte-Carlo simulation, genetic algorithm

Hai Lin,Feilong Zhao,Jiangong Zhang. An Accurate Method of Adding New Site Based on Monte-Carlo Simulation[J]. Telecommunications Science, 2012, 28(10): 149-155.

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References 10

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字段名	说明或单位
服务小区标识	LAC+CI
电平差值门限1	（dB）
电平差值门限2	（dB）
服务小区平均下行电平强度	（dBm）
服务小区下行电平强度方差	（dB）
邻小区1 BISC	NCC+BCC
邻小区1 BCCH	/
邻小区1平均下行电平强度	（dBm）
邻小区1下行电平强度方差	（dB）
邻小区1与服务小区电平差值高于门限1采样点数	（个）
邻小区1与服务小区电平差值介于两门限采样点数间	（个）
邻小区1与服务小区电平差值低于门限2采样点数	（个）

得分	接通率	掉话率	误帧率
5	99.5%～100%	0～0.5%	0～0.2%
4	98.5%～99.5%	0.5%～1%	0.2%～0.8%
3	96%～98.5%	1%～2%	0.8%～3.2%
2	90%～96%	2%～4%	3.2%～12.8%
1	0～90%	4%～100%	12.8%～100%

QoS维度	关键指标	优化前	优化后	提升幅度
业务量	CS域无线话务量	497.99 erl	580.21 erl	16.51%
	PS域业务流量	15.30 GB	18.23 GB	19.16%
接入性	无线接通率	99.52%	99.66%	0.14%
保持性	无线掉话率	0.19%	0.14%	-26.32%
	切换成功率	96.93%	97.23%	0.31%
完整性	上行RxQual 6～7级占比	1.29%	1.04%	-19.38%
	下行RxQual 6～7级占比	1.15%	0.75%	-34.78%

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An Accurate Method of Adding New Site Based on Monte-Carlo Simulation

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