4G飞蜂窝路径损耗模型分析

C. S. Vardhan, D. Ratnam, N. Bhagyasree, A. Dattu
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引用次数: 10

摘要

移动蜂窝通信彻底改变了通信系统的应用。目前的移动蜂窝通信网络通常在某些区域(如室内和公寓)存在渗透和接收不良的问题,从而降低了服务质量。长期演进先进(LTE)移动网络的主要骨干是互联网。为了减少通信量和提高数据速率,可以使用femtocell来改善小范围内的无线覆盖,特别是在室内和城市环境中。Femtocell是一种连接宽带互联网的小型蜂窝基站。飞基站面临的主要技术挑战是层间、层内和用户设备的干扰、服务质量、切换操作和频谱精度。主要问题是构成宏蜂窝网络和飞蜂窝网络的跨层干扰构成相邻信道干扰的更大一部分。本文研究了采用两种不同的路径损耗模型对异构LTE网络接收中的干扰水平。用户设备(UE)选择Femto或Macro BS链路之间的权衡是通过考虑计算机块(7层,10墙)的墙壁数量和穿透损失来检查的,KL大学,Vaddeswaram, Guntur,印度。结果表明,模型2在干扰抑制和路径损耗估计方面优于模型1。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of path loss models of 4G femtocells
Mobile cellular communications revolutionized in communication system applications. The present mobile cellular communication networks normally often suffer from poor penetration and reception in certain areas, like indoor and apartments in turn decreasing quality of service. The main backbone of Long Term Evolution Advanced (LTE)- mobile network is internet. In order to reduced the traffic and enhance data rates, femtocell can be used to improve wireless coverage over a small area, especially in indoor and urban environment. Femtocell is a small cellular base station that connects to a broadband Internet connection. The major technical challenges of femtocells are cross-tier, Intra-tier and user equipment interference, quality of service, handover operation and spectral accuracy. The predominate issue is cross-tier interference constituting macro cell and femtocell networks constitutes the greater portion of interference in terms of adjacent channel interference. In this paper, Interference levels in reception of heterogeneous LTE Network by using two different path loss models are investigated. Signal to interference ratio and the throughput are estimated The trade-off between selections of Femto or Macro BS link by the User Equipment (UE) is examined by considering number of walls and penetration losses of Computer Block (7 floors, 10 walls), KL University, Vaddeswaram, Guntur, India. It is found that that model-2 is better in Interference mitigation and path loss estimation compared to model-1.
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