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The effect of various parameters of large scale radio propagation models on improving performance mobile communications

机译:大规模无线电传播模型各种参数对提高性能移动通信的影响

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One technique for ensuring continuity of wireless communication services and keeping a smooth transition on mobile communication networks is the soft handover technique. In the Soft Handover (SHO) technique the inclusion and reduction of Base Station from the set of active sets is determined by initiation triggers. One of the initiation triggers is based on the strong reception signal. In this paper we observed the influence of parameters of large-scale radio propagation models to improve the performance of mobile communications. The observation parameters for characterizing the performance of the specified mobile system are Drop Call, Radio Link Degradation Rate and Average Size of Active Set (AS). The simulated results show that the increase in altitude of Base Station (BS) Antenna and Mobile Station (MS) Antenna contributes to the improvement of signal power reception level so as to improve Radio Link quality and increase the average size of Active Set and reduce the average Drop Call rate. It was also found that Hata's propagation model contributed significantly to improvements in system performance parameters compared to Okumura's propagation model and Lee's propagation model.
机译:一种用于确保无线通信服务连续性的一种技术,并在移动通信网络上保持平滑过渡是软切换技术。在软切换(SHO)技术中,通过启动触发来确定从一组有效集合的基站的包含和减少。其中一个启动触发器基于强的接收信号。本文观察了大规模无线电传播模型参数的影响,提高了移动通信的性能。用于表征指定移动系统性能的观察参数是呼叫,无线电链路劣化率和活动集的平均大小(AS)。模拟结果表明,基站(BS)天线和移动站(MS)天线的高度增加有助于提高信号电源接收电平,从而提高无线电链路质量并增加有效集的平均大小并减少平均下降呼叫率。还发现,与Okumura的传播模型和LEE的传播模型相比,HATA的传播模型在系统性能参数的改进方面贡献显着。

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