Performance Improvement of Outage Users at Cell Edges through Cognitive-Femtocell Deployment over Macrocell Network

Joydev Ghosh, Sanjay Dhar Roy
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引用次数: 2

Abstract

This research focuses on the problem of cell edge user coverage in the context of femtocell networks operating within the locality of macro cell border. The macro cell-edge users get assisted by the cognitive-femto base station (FBS) to receive a consistent quality of service (QoS) because of their long distance from the macro base station (MBS). Considering various environment factors such as wall structure, number of walls, distance between macro cell and users, interference effect (i.e., cotier and cross-tier), we compute not only the overall outage probability of single input single output (SISO) system and single input multiple output (SIMO) system users but also based on sub carrier and power allocation the performance of the two tier network is analysed with macro cell throughput as the performance metric. Finally, the effectiveness of the scheme is verified by extensive matlab simulation.
认知- femtocell在Macrocell网络上部署对小区边缘断网用户性能的改进
本文主要研究在宏小区边界局域内运行的飞蜂窝网络中小区边缘用户覆盖问题。由于宏蜂窝边缘用户与宏基站的距离较远,因此在认知飞向基站(FBS)的帮助下,宏蜂窝边缘用户获得了一致的服务质量(QoS)。考虑到墙的结构、墙的数目、宏小区与用户之间的距离、干扰效应(即同层和跨层)等各种环境因素,我们不仅计算了单输入单输出(SISO)系统和单输入多输出(SIMO)系统用户的总体中断概率,而且基于子载波和功率分配,以宏小区吞吐量为性能指标分析了两层网络的性能。最后,通过大量的matlab仿真验证了该方案的有效性。
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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