计算机与现代化

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临近基站建议模型在基站位置校正中的应用

  

  1. (1.武汉邮电科学研究院,湖北武汉430074;2.烽火通信科技股份有限公司南京研发部,江苏南京210019;3. 江西省计算技术研究所,江西南昌330003)
  • 收稿日期:2015-06-05 出版日期:2015-11-12 发布日期:2015-11-16
  • 作者简介:冯利容(1990-),女,湖北仙桃人,武汉邮电科学研究院硕士研究生,研究方向:社交网络,海量数据挖掘; 彭艳兵(1974-),男,烽火通信科技股份有限公司南京研发部高级工程师, 博士,研究方向:网络行为分析,海量数据挖掘。
  • 基金资助:
    江苏省科技支撑计划项目(2015BAK20B01)

Application of Nearest Base Station Suggestion Method in Base-station Position's Correction#br#

  1. (1. Wuhan Research Institute of Posts and Telecommunications, Wuhan 430074, China;
    2. Nanjing Research and Development Department, FiberHome Communication Technology Co. Ltd., Nanjing 210019, China;
    3. Jiangxi Institute of Computing Technology, Nanchang 330003, China)
  • Received:2015-06-05 Online:2015-11-12 Published:2015-11-16

摘要:

移动网络和智能终端的迅猛发展使得基于位置的服务LBS(Location-based Service)成为互联网发展的热点之一,因此基站位置的准确性成为至关重要的因素。针对位置错误或者无位置信息的基站,本文提出一种新的校正算法临近基站建议模型(Nearest Base Station Suggestion Method, NBSS)。首先,该算法在数据预处理和时间粒度上进行过滤,在提高数据质量的同时减少运算量;其次,根据时间连续性的特点,结合用户手机终端App上传的位置信息,获取某一动态时间内用户轨迹经过的基站序列;最后,参考这些基站的位置特点,给出错误基站或无位置信息的新增基站的建议位置。通过实地考察基站位置,将NBSS算法校正后的结果与真实值进行对比分析,实验结果表明,该算法时间复杂度较低,能够满足大多数无线应用的位置精度要求。

关键词: 基于位置的服务, 临近基站建议模型, 微蜂窝, 基站位置校正

Abstract:

Abstract: With the rapid development of the mobile networks and intelligent terminals, locationbased service has become one of hot topics on the internet, therefore the accuracy of the base station's position becomes a critical factor. For the wrong base stations or the unknown base stations, a new corrected algorithm-NBSS(Nearest Base Station Suggestion Method) is proposed. Firstly, it mainly does a filter on the data preprocessing and timestamp. Secondly, according to the continuity feature of time, combining with the location information uploaded by the users' mobile terminals' App, the track of the base stations in a short dynamic time is gotten. Finally, referring to the position characteristics of the base stations, it could give the suggested value of the wrong base stations or the unknown ones, and obtain the true latitude and longitude of stations though field trips. After field tripping base stations, compared the true value with NBSS corrected one, the results show that the NBSS algorithm has low complexity and its positional accuracy meets the requirements of most wireless applications.

Key words: location-based service, nearest base station suggestion method, Microcell, correct the base station location

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