信息网络安全
信息網絡安全
신식망락안전
NETINFO SECURITY
2014年
12期
56-60
,共5页
移动通信%网络质量%KPI指标%指标分类
移動通信%網絡質量%KPI指標%指標分類
이동통신%망락질량%KPI지표%지표분류
mobile communication%network quality%KPI%indicator classiifcation
随着通信技术的发展，移动通信网络规模越来越大，网络越来越复杂，2G网络的不断优化精细，3G网络的日臻成熟以及4G网络的大规模商用，如何准确、实时地掌握网络的运行情况，如何从用户的角度感知网络性能，如何评价网络的质量等问题正逐渐或者已经成为移动运营商的挑战，制约移动网络的进一步优化，影响用户体检的进一步提高。自动路测是未来移动网络性能检测和优化中不可或缺的重要工具。相比于传统人工路测，自动路测具有更少的人员投入、更广的测试范围、更短的测试周期等优势，在运营商的日常网络优化中的重要性凸显。当前移动运营商的自动路测平台有丰富的测试指标，如何选取和分类这些指标以快速评估网络质量是一个值得研究的问题。文章利用MATLAB分析KPI指标之间的相关性，并通过统计学原理对各指标进行了分类，给出了一种移动网络KPI指标分类方法，降低了网络质量分析的难度，提高了网络质量分析效率。
隨著通信技術的髮展，移動通信網絡規模越來越大，網絡越來越複雜，2G網絡的不斷優化精細，3G網絡的日臻成熟以及4G網絡的大規模商用，如何準確、實時地掌握網絡的運行情況，如何從用戶的角度感知網絡性能，如何評價網絡的質量等問題正逐漸或者已經成為移動運營商的挑戰，製約移動網絡的進一步優化，影響用戶體檢的進一步提高。自動路測是未來移動網絡性能檢測和優化中不可或缺的重要工具。相比于傳統人工路測，自動路測具有更少的人員投入、更廣的測試範圍、更短的測試週期等優勢，在運營商的日常網絡優化中的重要性凸顯。噹前移動運營商的自動路測平檯有豐富的測試指標，如何選取和分類這些指標以快速評估網絡質量是一箇值得研究的問題。文章利用MATLAB分析KPI指標之間的相關性，併通過統計學原理對各指標進行瞭分類，給齣瞭一種移動網絡KPI指標分類方法，降低瞭網絡質量分析的難度，提高瞭網絡質量分析效率。
수착통신기술적발전，이동통신망락규모월래월대，망락월래월복잡，2G망락적불단우화정세，3G망락적일진성숙이급4G망락적대규모상용，여하준학、실시지장악망락적운행정황，여하종용호적각도감지망락성능，여하평개망락적질량등문제정축점혹자이경성위이동운영상적도전，제약이동망락적진일보우화，영향용호체검적진일보제고。자동로측시미래이동망락성능검측화우화중불가혹결적중요공구。상비우전통인공로측，자동로측구유경소적인원투입、경엄적측시범위、경단적측시주기등우세，재운영상적일상망락우화중적중요성철현。당전이동운영상적자동로측평태유봉부적측시지표，여하선취화분류저사지표이쾌속평고망락질량시일개치득연구적문제。문장이용MATLAB분석KPI지표지간적상관성，병통과통계학원리대각지표진행료분류，급출료일충이동망락KPI지표분류방법，강저료망락질량분석적난도，제고료망락질량분석효솔。
With the great development of communication industry, the scale of mobile communication network becomes larger, and networks are increasingly complex. As the 2G network is being constantly optimized, the 3G network is becoming more mature, 4G network is under large-scale construction, it gradually or has become a challenge for mobile operators that how to accurately grasp real-time network status, how to perceive network performance from the view of users, how to evaluate the quality of network, restricts further optimization of mobile networks, and influence further improvement of user experience. Auxiliary test unit (ATU) is an indispensable tool for future performance testing and optimization of mobile network. Compared to traditional manual road test, ATU has fewer staff input, broader range of tests, shorter test cycles and other advantages; therefore the importance of ATU will highlight in the future mobile operator's daily network optimization. Mobile operators auto drive test (DT) platform provides abundant indicators currently, and it is an issue worthy of studying that how to select and classify these indicators in a quick and efifcient evaluation of network quality. Using MATLAB, this paper conducts correlation analysis among KPIs, then accomplishes the classiifcation for each indicator based on statistical principle, presents a mobile network indicator classiifcation method, reduces the dififculty and improves the efifciency of the network quality analysis.
