Abstract

In this paper, an ARTLoc (accuracy and real-time commercial localization) system is proposed, which is applicable for positioning the Minimization of Drive-Tests(MDT) data in the long-term-evolution(LTE) cellular communication network system. This system utilizes a collaborative filtering algorithm to ensure the robustness and accuracy of the fingerprint database when both base station position and GPS MDT data are abnormal in commercial communication service provider(CSP) MDT localization scene. Then, a fast matching KNN algorithm including coarse matching and fine matching is proposed to improve the location efficiency and reduce the location cost under the premise of ensuring high location accuracy. The results of experiments conducted in an in-service LTE network using more than 1000 LTE base station demonstrate that the proposed technique yields a location accuracy of 65.7 meters(@67%) with DT data and 62.1 meters(@67%) with massive GPS MDT data(over 10 million), which provides at least 184.2% and 145.2% enhancement in accuracy respectively compared to the traditional technology. In addition, our system provides a more than 7 times improvement in location efficiency compared to traditional technology. This proposed localization technique is applicable in network optimization and Operation and Maintenance(O&M) to assist CSP to reduce their operating expense(OPEX) by positioning those MDT data without GPS location.

Highlights

  • The localization method based on Base Station(BS) signal has been gaining attention again

  • Location accuracy and location efficiency are both important for this localization system

  • According to our research, current fingerprint localization systems mentioned in related literature do have defects in such commercial scenarios

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Summary

INTRODUCTION

The localization method based on Base Station(BS) signal has been gaining attention again. Most MDT does not contain GNSS information, so it is necessary to utilize localization method based on BS signal to locate MDT data without GNSS, and CSPs can complete network optimization and O&M by GNSS and located MDT. We summarize this scenario as CSPs MDT Localization Scene. Ran: Accuracy and Real-Time Commercial Localization System in LTE Networks completes the localization of MDT data This way of going through all entries can find the global optimal solution, there is a further optimization method with respect to its poor performance.

RELATED RESEARCH BACKGROUND
BS POSITION ESTIMATION ALGORITHM
ABNORMAL GPS MDT IDENTIFICATION
FAST MATCHING KNN ALGORITHM
MEASUREMENT CAMPAIGNS AND LOCALIZATION PERFORMANCE
Findings
CONCLUSION
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