DEVELOPMENT OF ACCELERATED DISCRETE FOURIER TRANSFORM FOR 5G COMMUNICATION SYSTEMS

Abstract

The demand for high-speed data transmission in 5G communications necessitates efficient signal processing techniques. The application of Discrete Fourier Transform (DFT) in 5G communications spans diverse areas, including spectrum analysis, channel estimation, beamforming, and equalization. DFT's ability to quickly analyse signals enables real-time processing essential for emerging 5G applications such as Internet of Things (IoT), autonomous vehicles, and virtual reality. Current 4G communication systems utilize traditional signal processing methods, which often struggle to meet the stringent requirements of high-speed data transmission. These systems face challenges in efficiently handling the massive amounts of data generated by 4G networks. As a result, there is a growing need for advanced signal processing techniques to overcome these limitations. This work investigates the application of DFT in advancing 5G communication systems. The DFT's capability to rapidly process signals makes it an appealing choice for various applications in 5G networks. This study presents a comprehensive examination of DFT's potential in enhancing signal processing for 5G communications. By integrating DFT into various aspects of signal processing networks, and synchronization, we aim to enhance spectral efficiency, reduce latency, and improve overall system performance. Keywords: Discrete Fourier Transform, Internet of Things (IOT), Advanced Signal Processing.