Optimizing Windowed Filters for Enhanced OFDM Performance in 5G Networks: A Comprehensive Analysis of PAPR, BER, and PSD

Abstract

Orthogonality for the frequency division multiplexing is the approach which is widely accepted for the current wireless communication, but as the technology is on the verge of moving in to the fifth generation wireless communication there are some limitations such as PAPR, PSD and BER of Orthogonal frequency division multiplexing which cannot be ignored for the fifth generation as promises the Massive machine communication, huge Reliability and minimum latency and extended mobile broadband, so to achieve above promises here in this proposed research work the filtering technique for the OFDM also in this research work specifies the importance of windowing techniques in the design of filters for Filtered Orthogonal Frequency Division Multiplexing. This is mainly by reducing Peak-to-Average Power Ratio and optimizing Bit Error Rate to minimize Out-of-Band Emissions, which contributes to enhancing spectral containment properties, thus reducing inter-system interferences in the field of communication systems. This study elucidates the principles of windowing and application in f-OFDM to offer immediate insight into how filters are designed under optimal capacity for high system efficiency. The use of windowing in simulations has proven effective in enhancing the filter design process, and demonstrates the future of the evolution of digital communications systems ,the waveform by means of various windowing methods considering the parameters Power spectral density, Bit error rate and PAPR, simulation results shows that the nuttall's blackman-harris, kaiser & root raised cosine windowed filter function are best suitable for the filtering the OFDM signal to improve the spectral efficiency, BER.