基于用户和业务的运营商通信机房综合评价和分级管理

doi:10.11959/j.issn.1000-0801.2019272

Abstract

Abstract:

The growing network scale of operators makes the network maintenance strength and cost more limited.How to use the limited cost to carry out high-quality network operation and maintenance has become a new challenge.As the important core resource of operator network,the fine management of communication roomsare is very necessary.A user-oriented and business-oriented hierarchical operation and maintenance management idea for operators’ communication room was presented.The multi-factor weighting method was used to evaluate the communication rooms comprehensively by the user and business data carried by the communication rooms.The communication rooms were classified according to the user and business distribution.

Key words: communication room, multi-factor weighting, comprehensive evaluation, user perception

CLC Number:

TN915

Chenggui ZHOU. Comprehensive evaluation and hierarchical management method of operator’s communication room based on users and business[J]. Telecommunications Science, 2019, 35(12): 142-147.

Figures/Tables 7

References 14

[1]	张建敏, 谢伟良, 杨峰义 . 5G超密集组网网络架构及实现[J]. 电信科学, 2016,32(6): 36-43.
	ZHANG J M , XIE W L , YANG F Y . Architecture and solutions of 5G ultra dense network[J]. Telecommunications Science, 2016,32(6): 36-43.
[2]	杨怡 . 基站分级让网络维护更高效——重庆移动精细管理提升网络价值[J]. 重庆通信业, 2005(2): 63-63.
	YANG Y . Base station classification makes network maintenance more efficient—Chongqing mobile fine management improves network value[J]. Chongqing Communication, 2005(2): 63-63.
[3]	代平 . 浅谈通信基站的维护及其重要性[J]. 通信管理与技术, 2013(3): 57-58.
	DAI P . Maintenance and importance of communication base stations[J]. Communication Management and Technology, 2013(3): 57-58.
[4]	丁亦志, 吕红卫, 牛瑛霞 ,等. 全面深化流量经营部署方案探讨[J]. 电信科学, 2016,32(6): 195-200.
	DING Y Z , LV H W , NIU Y X ,et al. Discussion on the deployment solution of comprehensive traffic management[J]. Telecommunications Science, 2016,32(6): 195-200.
[5]	周成贵 . 用户导向的 4G 基站维护方法与网络运维建议[J]. 移动通信, 2019,43(4): 93-96.
	ZHOU C G . User-oriented 4G base station maintenance method and network operation and maintenance recommendations[J]. Mobile Communications, 2019,43(4): 93-96.
[6]	刘竞妍, 张可, 王桂华 . 综合评价中数据标准化方法比较研究[J]. 数字技术与应用, 2018,36(6): 94-95.
	LIU J Y , ZHANG K , WANG G H . Comparative study on data standardization methods in comprehensive evaluation[J]. Digital Technology and Application, 2018,36(6): 94-95.
[7]	李玲玉, 郭亚军, 易平涛 . 无量纲化方法的选取原则[J]. 系统管理学报, 2016(6): 1040-1045.
	LI L Y , GUO Y J , YI P T . The selection principle of dimensionless method[J]. Systems Engineering-Theory Methodology Application, 2016(6): 1040-1045.
[8]	徐唐先 . 关于等级相关中斯皮尔曼公式的性质问题[J]. 统计与决策, 1995(11): 22-23.
	XU T X . On the properties of Spearman’s formula in rank correlation[J]. Statistics ＆ Decision, 1995(11): 22-23.
[9]	李志强 . 整合资源创建基站维护精细管理新模式[J]. 电信技术, 2010,1(3): 78-81.
	LI Z Q . Integrating resources to create a new mode of base station maintenance and fine management[J]. Telecommunications Technology, 2010,1(3): 78-81.
[10]	石朗昱, 马玲 . 精细化核算移动通信基站电源配置[J]. 电信工程技术与标准化, 2009,22(11): 69-72.
	SHI L Y , MA L . Fine accounting of power configuration of mobile communication base station[J]. Telecom Engineering Technics ＆ Standardization, 2009,22(11): 69-72.
[11]	王明明 . 浅析4G时代中国移动PTN本地传输网优化思路[J]. 中国新通信, 2018,20(9):87.
	WANG M M . Analysis on the optimization of China mobile PTN local transmission network in 4G era[J]. China New Telecommunications, 2018,20(9):87.
[12]	谢蓟, 彭晓辉 . 从运营管理角度谈电信运维精细化管理[J]. 通信世界, 2007(16B): 14-15.
	XIE J , PENG X H . On the refined management of telecom operation and maintenance from the perspective of operation management[J]. Communications World, 2007(16B): 14-15.
[13]	李琪, 宫辉 . 网络精细化时代运营商如何准确锁定“价值区域”[J]. 通信世界, 2017(32): 43-45.
	LI Q , GONG H . How to accurately lock in “value area” for operators in the era of network refinement[J]. Communications World, 2017(32): 43-45.
[14]	陈涛, 鲁萌, 陈彦名 . 运营商大数据技术应用研究[J]. 电信科学, 2017,33(1): 130-134.
	CHEN T , LU M , CHEN Y M . Research on operators’ big data technologies and applications[J]. Telecommunications Science, 2017,33(1): 130-134.

Metrics

Recommended 0

No Suggested Reading articles found!

分类	评估因子	说明	是否选取
无线业务	2G话务量	机房中2G基站话务量	否
	2G流量	机房中2G基站流量	否
	VoLTE话务量	机房中4G基站的VoLTE话务量	否
	4G流量	机房中4G基站流量	是
有线业务	家庭宽带用户规模	机房中OLT设备覆盖家庭宽带用户数	是
	专线数量或服务用户规模	机房中专线数量及覆盖集团用户数	是
	专线价值	机房中集团专线收益	否
	专线等级	3A/2A/A/普通专线	否
全网性	传输设备节点重要性	如 PTN 设备邻居节点的数量，反映节点对全网影响程度	是
其他评估因子	传统方法评估因子	VIP/节点机房等	否

评估因子	服务用户数/万	权重比例	权重
4G流量	a₁		W₁
家庭宽带用户规模	a₂	p₁	W₂
专线数量	a₃		W₃
传输节点重要性	/	p₂	W₄

机房	4G流量/MB	专线数量/条	家庭宽带用户数/户	机房节点度	比重法排序	min-max法排序	Z-score法排序
机房1	98 819.13	0	217	3	11	1	1
机房2	99 568.37	0	0	2	12	2	2
机房3	69 406.97	0	0	3	20	6	3
机房4	24 864.63	46	8 299	10	2	3	4
机房5	64 888.85	5	0	2	21	8	5
机房6	0	161	3 275	14	7	4	6
机房7	16 717.06	105	4 327	5	4	11	7
机房8	0	85	9 383	6	1	9	8
机房9	7 124.079	60	3 434	19	16	5	9
机房10	7 851.364	131	3 603	8	9	10	10

评估方法	比重法	min-max法	Z-score法

比重法	—	0.925	0.963
min-max法	—	—	0.987

Top高价值机房	比重法 vs min-max法	比重法 vs Z-score法	min-max法 vs Z-score法	平均重合度
Top 10%	76.98%	85.28%	87.92%	83.40%
Top 20%	81.29%	88.66%	90.74%	86.89%
Top 30%	79.22%	87.41%	90.55%	85.73%
Top 40%	83.55%	89.04%	93.29%	88.63%

Comprehensive evaluation and hierarchical management method of operator’s communication room based on users and business

RichHTML

PDF下载

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 7

References 14

Related Articles 9

Metrics

Recommended 0

综合评价维护等级	机房占比	业务贡献度	汇聚机房出现率	汇聚机房占比		VIP机房出现率	VIP机房占比
高（Top 10%）中（Top 10%～40%）	10%30%	54%30%	59%25%	23%3%	（8%）	57%36%	54%12%	（22%）
底（Top 40%～100%)	60%	16%	16%	1%	/	7%	1%	/

[1]	Daoyuan LIU,Keda SUN,Junliang ZHOU,Haidong FAN. Application of fuzzy comprehensive evaluation method in network information security assessment of electric power enterprises [J]. Telecommunications Science, 2020, 36(3): 34-41.
[2]	Cheng CHEN,Yingying ZHAO. Research and application of process craft-layout in core telecommunication room [J]. Telecommunications Science, 2018, 34(5): 141-147.
[3]	Xiaoguang HUANG,Junhua DONG,Feng WANG,Wei WANG. 4G network perception planning method based on Monte-Carlo simulation [J]. Telecommunications Science, 2017, 33(7): 144-150.
[4]	Zongzhang LI,Zhitong SHI,Yuling WANG,Kun YUAN,Zhiguo WANG,Xinchao ZHANG. Optimization strategy and solution of 4G high-speed rail network [J]. Telecommunications Science, 2016, 32(7): 179-187.
[5]	Binfeng Yan,Hui Dong,Yuhua Hou. Analysis of Intelligent Pipeline Perception Technology Based on Terminal [J]. Telecommunications Science, 2015, 31(3): 1-7.
[6]	Yan Binfeng,Dong Hui and Hou Yuhua. Analysis of Intelligent Pipeline Perception Technology Based on Terminal [J]. Telecommunications Science, 2015, 31(3): 2015078-.
[7]	Junwei Wang,Jiangtao Luo,Jing Huang,Liangjia Ying,Zhifei Deng. Research and Implementation of Parameter Management System for Mobile Communication Base Station [J]. Telecommunications Science, 2014, 30(5): 88-93.
[8]	Huiyu Yang,Haobin Zheng,Jinsheng Li,Hanxin Lv. Research and Application of Intelligent Terminal Network Performance and Problem Location Method [J]. Telecommunications Science, 2014, 30(1): 110-115.
[9]	Minghui Yu,Xiquan Guo. AHP Extension Comprehensive Evaluation for Network Security [J]. Telecommunications Science, 2010, 26(12): 110-114.