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·Peer-reviewed·ISSN (Online): 2169-0103·ISSN (Print): 0252-2667
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The Journal of Information and Optimization Sciences (JIOS) is a world leading journal publishing high quality, rigorously peer-reviewed original research in all mathematically-oriented theoretical and applied topics in information sciences, optimization sciences and related areas since 1980. Subjects include but are not limited to:
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Application of fast Fourier transforms in real-time signal processing for 5G networks
Lalita Kiran Wanilalita.wani@bharatividyapeeth.eduDepartment of Electronics and Telecommunication Bharati Vidyapeeth College of Engineering LavalePune, Maharashtra, 412115, IndiaView full profile →
, Nikhil Mangrulkarmangrulkar.nikhil@gmail.comDepartment of Computer Science and Engineering Symbiosis Institute of Technology Nagpur Campus Symbiosis International (Deemed University)Nagpur, Maharashtra, 440008, IndiaView full profile →
, Panneer Selvamselvamp@maher.ac.inCentre for Doctoral Studies Meenakshi Academy of Higher Education and ResearchChennai, Tamil Nadu, 600078, India0000-0003-2212-8219View full profile →
, Puneet Kumar Yadavpuneet.yadav1@niu.edu.inDepartment of Computer Science & Engineering Noida International UniversityGreater Noida, Uttar Pradesh, 203201, IndiaView full profile →
, *Ganesh Ashok NimgireCorresponding authornganesha0506@gmail.comDepartment of Instrumentation & Control Engineering D. Y. Patil College of Engineering AkurdiPune, Maharashtra, 411044, IndiaView full profile →
, Akshay Hemant Gonganeshrikant.barkade@vit.eduDepartment of Engineering Science and Humanities Vishwakarma Institute of TechnologyPune, Maharashtra, 411037, IndiaView full profile →
* Corresponding author · click or hover a name for details
In real time data processing the Fast Fourier Transform (FFT) is a crucial factor the follow the 5G standard networks. In frequency domain the FFT will make it simple and easy to works with multi-carrier modulation methods like OFDM, which required for the fast data flow and minimum delay. Adding optimization to FFT model will enhance it in airwaves and reduce the amount of addition work for infrastructure that will consume the minimal energy during the processing. This paper discuss about the math behind FFT, looks at how it can be changed, and rates its performance. It also focuses that FFT are more relevant in wireless transmission in next generation.
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