基于用户轨迹和工作频率的异构无线网络切换决策分析

Q4 Business, Management and Accounting

International Journal of Mobile Network Design and Innovation Pub Date : 2020-01-01 DOI:10.1504/IJMNDI.2020.10035106

S. Goutam, S. Unnikrishnan, Prasad Narahar Lalit

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引用次数: 1

摘要

下一代无线网络本质上是异构的，由多种无线接入技术组成。因此，为了实现移动用户的无缝移动，垂直切换(VHO)成为一种必要。本文研究了异构无线网络中切换决策算法的设计、实现和分析。该算法基于模糊逻辑。在设计垂直切换决策算法(VHDA)时，主要考虑的参数有接收信号强度(RSS)、信道容量、与基站的距离、用户速度和网络负载。切换点的变化是根据用户轨迹和基站工作频率的变化来观察的。

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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Analysis of handover decision in heterogeneous wireless networks based on user trajectory and operating frequency

Next generation wireless networks are heterogeneous in nature consisting of various radio access technologies (RATs). Hence vertical handover (VHO) becomes a necessity in order to achieve seamless mobility of the mobile users. This research paper presents design, implementation and analysis of the handover decision algorithm in heterogeneous wireless networks. The algorithm is based on Fuzzy Logic. The main parameters considered in designing of vertical handover decision algorithm (VHDA) are received signal strength (RSS), channel capacity, distance from base stations, velocity of the user and load on the network. The changes in the points of handover are observed on the basis of the variations in user trajectory and operating frequency of the base stations.

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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.