新型分数阶供电二项滤波器(FPBF)在5G-UFMC中的实现

Rafee Al Ahsan, A. Baki
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引用次数: 4

摘要

到2020年,全球将看到5G蜂窝技术的标准化和部署。基于物联网(IoT)的5G提出了不同的调制技术,其中之一是通用滤波多载波(UFMC)系统。UFMC采用道尔夫-切比雪夫滤波器来减少子带干扰。我们研究了一种分数阶功率二项滤波器(FPBF)的新概念,它比基于dolphor - chebyshev滤波器的UFMC性能更好。在我们的研究中可以看到,海豚-切比雪夫滤波器会产生较高的子带干扰。本文介绍了一种利用新型FPBF更好地降低基于ufmc的5G子带间干扰的方法。利用FPBF的单个参数可以很容易地控制UFMC的各子带带宽和邻接信道干扰。
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Implementation of Novel Fractional Powered Binomial Filter (FPBF) in 5G-UFMC
The world will see the standardization and deployment of 5G cellular technologies by the year 2020. Different modulation techniques are proposed in Internet of Things (IoT) based 5G, one of them is Universal Filtered Multi-Carrier (UFMC) system. UFMC uses Dolph-Chebyshev Filter to reduce the sub-band interferences. We have investigated a novel concept of Fractional Powered Binomial Filter (FPBF) for UFMC that can perform better than Dolph-Chebyshev Filter based UFMC. It was seen in our study that Dolph-Chebyshev Filter causes comparatively higher level of sub-band interference. This paper describes a better method of interference reduction among the sub-bands of UFMC-based 5G using novel FPBF. Bandwidth of each sub-band as well as adjacent-channel interference of UFMC can be easily controlled using a single parameter of FPBF.
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