基于模糊c均值聚类的sisomimo系统自适应孔径辅助天线设计

Parismita A. Kashyap, K. K. Sarma
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引用次数: 1

摘要

尽管存在一些严峻的挑战,但如何在提供丰富内容的数据服务的同时实现更好的频谱效率和高可靠性是无线通信最相关的主题之一。其中包括多径衰落、多用户干扰、同信道干扰CCI、码间干扰ISI等。已经开发和部署了几种技术来消除衰落影响。本章所采用和讨论的较少探索的技术之一是基于发射天线的结构。天线的物理尺寸根据衰落情况变化,采用动态过程调整结构,以提供最佳质量的业务QoS。考虑两种类型的天线设置-单输入-单输出SISO和多输入-多输出MIMO。该系统中的发射天线自适应更新孔径,提高了系统性能,同时根据要求优化了天线的驱动功率。该系统通过改变高数据速率时变瑞利信道中发射天线的有效孔径来适应预先设定的误码率误码率。然而,在实时环境中,误码率随着信道条件的变化而不断变化。很难获得固定的误码率,因此更难以对天线结构进行单时间瞬间的建模。因此,对于不同的误码率,在一个时间瞬间存在多个有效孔径尺寸。在各种数值中,需要确定发射天线有效孔径的两个具体限值。模糊c均值FCM聚类方法是目前最流行和最有效的聚类方法之一,它用于设置孔径的两个限制,在两个限制内,在特定时刻获得特定的误码率阈值。仿真结果表明了整个系统的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Adaptive Aperture Aided Antenna Design for SISO-MIMO Systems using Fuzzy C-Mean Clustering
One of the most relevant themes of wireless communication is to achieve better spectral efficiency and provide high reliability while providing rich-content data services despite the existence of several serious challenges. A few of them are multipath fading, multi-user interference, co-channel interference CCI, inter symbol interference ISI etc to name a few. Several techniques have already been developed and deployed to eliminate the fading effects. One of the less explored techniques which have been adopted and discussed in this chapter is based on the structure of the transmitting antenna. The physical dimension of the antenna is varied as per the fading condition by adopting a dynamic process which adjusts the structure to provide the best quality of service QoS. Two types of antenna set-ups are considered-Single Input-Single Output SISO and Multiple Input-Multiple Output MIMO. The transmitting antenna in this system adaptively updates its aperture to improve the system performance and at the same time optimizes the driving power of the antenna as per requirement. The system changes the effective aperture of the transmitting antenna in high data rate, time varying Rayleigh channels to adapt to a previously set Bit error Rate BER. However, in a real time environment the BER keeps on changing based on the channel condition. It is difficult to attain a fixed value of BER and hence even more difficult to model the antenna structure for a single time instant. As a result there exist a number of effective aperture dimensions for various BER in a single time instant. Out of the various values, two specific limits of the effective aperture of the transmitting antenna needs to be decided. Fuzzy C-Mean FCM Clustering method being one of the most popular and efficient clustering technique is used to set two limits of the aperture within which a particular threshold of the BER is obtained at one particular instant of time. The results derived show the effectiveness of the entire system.
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