在GSM网络中移动交换中心采用滑动窗口方法使网络成本最小化

Q4 Business, Management and Accounting

International Journal of Mobile Network Design and Innovation Pub Date : 2018-03-05 DOI:10.1504/IJMNDI.2018.10011193

M. Nuka, M. Naidu

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引用次数: 0

摘要

全球移动通信系统(GSM)网络的成本努力必须最小化，以有效和高效地满足不断增加的移动用户群的服务需求。移动交换中心(MSC)在访客位置寄存器(VLR)中临时存储用户资料的时间长短影响着GSM网络的成本。本研究提出了一种滑动窗口法来确定VLR中配置文件的存储周期，使GSM网络的网络成本最小化。此外，本研究对所提出的方法的计算量进行了检验和评估。结果表明，该方法优于已有的集相交法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Minimising network cost by employing sliding window method at mobile switching centres in GSM network

The cost effort of a global system for mobile communications (GSM) network is to be minimised for meeting effectively and efficiently the service requirements of ever increasing mobile subscriber's base. The period of temporary storage of subscribers' profiles in visitor location register (VLR) at a mobile switching centre (MSC) affects the cost of GSM network. This research study proposes a sliding window method for determining the storage period of profiles in VLR that minimises the network cost of GSM network. Further, this study examined and evaluated the computational efforts on proposed method. The proposed method proves to be better than the reported set intersection method.

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来源期刊

International Journal of Mobile Network Design and Innovation Business, Management and Accounting-Management Information Systems

CiteScore

0.30

自引率

0.00%

发文量

期刊介绍： The IJMNDI addresses the state-of-the-art in computerisation for the deployment and operation of current and future wireless networks. Following the trend in many other engineering disciplines, intelligent and automatic computer software has become the critical factor for obtaining high performance network solutions that meet the objectives of both the network subscriber and operator. Characteristically, high performance and innovative techniques are required to address computationally intensive radio engineering planning problems while providing optimised solutions and knowledge which will enhance the deployment and operation of expensive wireless resources.