Open Access

ARTICLE

Reconfigurable Logic Design of CORDIC Based FFT Architecture for 5G Communications

C. Thiruvengadam^1,*, M. Palanivelan²

1 Department of Electronics and Communication Engineering, Anjalai Ammal Mahalingam Engineering College, Thiruvarur, 614403, Tamilnadu, India
2 Department of Electronics and Communication Engineering, Rajalakshmi Engineering College, Chennai, 602105, Tamilnadu, India

* Corresponding Author: C. Thiruvengadam. Email:

Intelligent Automation & Soft Computing 2023, 36(3), 2803-2818. https://doi.org/10.32604/iasc.2023.030493

Received 27 March 2022; Accepted 27 April 2022; Issue published 15 March 2023

Abstract

There are numerous goals in next-generation cellular networks (5G), which is expected to be available soon. They want to increase data rates, reduce end-to-end latencies, and improve end-user service quality. Modern networks need to change because there has been a significant rise in the number of base stations required to meet these needs and put the operators’ low-cost constraints to the test. Because it can withstand interference from other wireless networks, and Adaptive Complex Multicarrier Modulation (ACMM) system is being looked at as a possible choice for the 5th Generation (5G) of wireless networks. Many arithmetic units need to be used on the hardware side of multicarrier systems to do the pulse-shaping filters and inverse FFT. The main goal of this study is to adapt complex multicarrier modulation (ACMM) for baseband transmission with low complexity and the ability to change it. We found that this is the first reconfigurable architecture that lets you choose how many subcarriers a subband has while still having the same amount of hardware resources as before. Also, under the new design with a single selection line, it selects from a set of filters. The baseband modulating signal is evaluated and tested using a Field-Programmable Gate Array (FPGA) device. This device is available from a commercial source. New technology outperforms current technology in terms of computational complexity, simple design, and ease of implementation. Additionally, it has a higher power spectrum density, spectral efficiency, a lower bit error rate, and a higher peak to average power ratio than existing technology.

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Keywords

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