Implementation of Novel Fractional Powered Binomial Filter (FPBF) in 5G-UFMC

Abstract

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.