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Comparative Analysis of Localization Schemes in Conventional vs. Next Generation Cellular Networks

机译:传统与下一代蜂窝网络中定位方案的比较分析

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This paper presents a comparative review of the various localization schemes in use in different generations of Cellular Networks. Localization, in cellular networks is the process used to find the accurate geo-position of a user, not by means of techniques like the Global Positioning System, but by the cellular network infrastructure itself. It is this procedure, which is responsible for providing users their requisite services as per the area they are in. Even if they are outside the country, the cellular network is well aware of it and keeps providing its services on roaming basis. These features have become more prominent and the demand for advanced improved methodologies has increased manifold with the advent of new generation cellular networks. This is the very problem statement targeted in this work, which focuses on the scrutiny of four of the Localization schemes - Centralized Database Approach (CDBA) and Distributed Database Approach (DDBA) as employed in the conventional/ homogenous GSM based cellular network; and Triangulation Algorithm and Centroid Localization Algorithm as proposed for the heterogeneous 5G network. After in-depth study of all these algorithms, their flows have been discussed in the work, both theoretically and diagrammatically, to aid researchers working in this subject matter by providing them a meticulous review of the algorithms. Furthermore, the aforementioned algorithms have been analyzed in terms of various parameters by means of simulations. The inferred findings of this comparative analysis show better performance of DDBA algorithm for conventional cellular networks, while Triangulation algorithm proves promising with less Root Mean Square Error in case of the heterogeneous mobile nodes based 5G network.
机译:本文对蜂窝网络的不同世代中使用的各种本地化方案进行了比较回顾。蜂窝网络中的本地化是用于查找用户的准确地理位置的过程,而不是通过诸如全球定位系统之类的技术,而是通过蜂窝网络基础结构本身来查找。正是这个过程,负责根据用户所在的区域为用户提供其必需的服务。即使他们在国外,蜂窝网络也很清楚这一点,并继续在漫游的基础上提供其服务。这些特征变得更加突出,并且随着新一代蜂窝网络的出现,对先进的改进方法的需求也日益增加。这是本工作针对的非常问题的陈述,其重点是对常规/同质GSM蜂窝网络中采用的四个本地化方案进行了仔细研究-集中式数据库方法(CDBA)和分布式数据库方法(DDBA);异构5G网络中提出的三角剖分算法和质心定位算法。在对所有这些算法进行了深入研究之后,已在工作中从理论上和图形上讨论了它们的流程,以通过对算法进行细致的审查来帮助研究该主题的研究人员。此外,已经通过仿真在各种参数方面分析了前述算法。该比较分析的推断结果表明,DDBA算法在常规蜂窝网络中具有更好的性能,而在基于5G网络的异构移动节点的情况下,三角剖分算法被证明具有较小的均方根误差。

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