个人通信服务网中用户移动行为评价

R. Munadi, M. Ismail, M. Abdullah
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引用次数: 1

摘要

蜂窝技术对通信行为和人类生活产生了巨大的影响。全球手机用户的增长每年都在增加。GSM作为第二代仍然作为著名的技术存在,很快第三代就会成为竞争对手。这项技术提供了与任何人交流的机会,无论何时何地,只要服务可用。在服务方面,许多网络运营商扩大了服务覆盖范围,以应对某一业务区域用户密度的增加,并改进了服务,以提高服务质量。本文提出了三种使用一定阈值水平的用户移动控制方案来研究用户移动行为。每一种方案都包含相同的单元大小,并基于随机移动模型在相似的移动环境中进行检验。每个用户都可以以相同的概率向任何方向移动。基于六边形单元模型,开发了49个单元作为仿真环境的服务区域。考虑用户分布和方向两个移动性特征作为分析特定服务区域内用户行为的参数。方案A、方案B、方案C三种移动控制方案的仿真结果;在时域分析中已经证明了这一点。结果表明,对于任何实现方案,每个MS的方向都是唯一的。在移动特性方面,我们发现均衡策略和非均衡策略的服务面积都被MS占用了90%,而小区策略接近所有方案的分布,在服务方面的结果小于上述策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Evaluation of User Mobility Behavior in Personal Communication Service Network
Cellular technology has shown a tremendous impact to communication behavior and human life. The growth of cellular users' increase every year world wide. GSM as the second generation still exist as the famous technology and soon the third generation comes as a competitor. This technology has delivered an opportunity to communicate to anyone, anywhere and anytime wherever the service is available. In terms of services, many network operators have expanded the service coverage to cope with the increased of user density in a certain service area and improved services to enhance quality of service. In this paper, three control mobility schemes of user movement using a certain threshold level are proposed to investigate user mobility behavior. Each of these schemes incorporates equal cell size and examines in similar mobile environment based random mobility model. Every user can move in any direction with equal probability. Based on hexagonal cell model, 49 cells have been developed as a service area for simulation environment. Two mobility characteristics: user distribution and direction are considered as parameters to analyze user behavior in the certain service area. Simulation results using three mobility control schemes: scheme A, scheme B and scheme C; have shown that in time domain analysis. Result shows that the direction of each MS for any implemented scheme is unique. In term of mobility characteristic, we find that 90% of service area are occupied by MS for both balanced and un-balanced strategies while in cell strategy approach the distribution for all the schemes the result is less that the above strategies in terms of service.
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