TURBO-FFT: ACCELERATED FAST FOURIER TRANSFORM FOR HIGH-SPEED 5G COMMUNICATION SYSTEMS

Authors

  • Dr I.V.Prakash, M. Suneel, K. Naresh

Keywords:

Fast Fourier Transform, Discrete Fourier Transform, Orthogonal Frequency Division Multiplexing, Very Large-Scale Integration

Abstract

The rapid growth of 5G communications demands faster and more efficient signal processing to support high-speed data transmission. Fast Fourier Transform (FFT) plays a crucial role in various aspects of 5G networks, including spectrum analysis, channel estimation, beamforming, and equalization. Its ability to analyze signals in real time makes it essential for emerging applications such as the Internet of Things (IoT), autonomous vehicles, and virtual reality.

References

. Morselli, Flavio, Sara Modarres Razavi, Moe Z. Win, and Andrea Conti. "Soft information based localization for 5G networks and beyond." IEEE Transactions on Wireless Communications (2023).

. Khandelwal, Hardika, Ajay Somkuwar, and J. S. Yadav. "Optimal Power Allocation Based on OFDM-NOMA Network Using Firefly Optimization." Electric Power Components and Systems (2023): 1-9.

Downloads

Published

2024-10-20

How to Cite

Dr I.V.Prakash, M. Suneel, K. Naresh. (2024). TURBO-FFT: ACCELERATED FAST FOURIER TRANSFORM FOR HIGH-SPEED 5G COMMUNICATION SYSTEMS. Journal of Computational Analysis and Applications (JoCAAA), 33(07), 1751–1757. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/2055

Issue

Section

Articles

Similar Articles

1 2 3 4 5 6 7 8 9 10 > >> 

You may also start an advanced similarity search for this article.