Optimized Squared Cosine Pulse Shaping of GFDM with Improved Hippopotamus Optimization for 5G and Beyond Applications

Deepak Kumar Ray, Shruti Oza

Research output: Contribution to journalArticlepeer-review

Abstract

Generalized Frequency Division Multiplexing (GFDM) is a cutting-edge multiplexing technique that promises high-speed, low-latency, and reliable 5G communications. Nevertheless, GFDM signals often suffer from excessive Out-of-Band Emissions (OBE), causing interference to other users. This research proposes a novel approach combining pulse shaping and wavelet transformation to mitigate these issues. Specifically, Squared Cosine Pulse Shape Filtering (SCos-PSF) is employed to filter out unwanted interference from the GFDM signal. To optimize the roll-off factor in SCos-PSF, an Improved Hippopotamus Optimization (ImHO) algorithm is introduced. This method is implemented in MATLAB, and its performance is evaluated using metrics such as Bit Error Rate (BER), Peak to Average Power Ratio (PAPR), and Complementary Cumulative Distribution Function (CCDF). The experimental results demonstrate a significant reduction in BER at a Signal-to-Noise Ratio (SNR) of 1.58*10-6 50 dB, showcasing the effectiveness of the proposed approach.

Original languageEnglish (US)
Pages (from-to)150-159
Number of pages10
JournalSSRG International Journal of Electrical and Electronics Engineering
Volume11
Issue number11
DOIs
StatePublished - Nov 2024
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2024 Seventh Sense Research Group.

Keywords

  • Bit error rate reduction
  • Fifth generation
  • Generalized Frequency Division Multiplexing
  • Improved Hippopotamus Optimization algorithm
  • Quadrature Enhanced Spatial Modulation
  • Squared cosine pulse shaping

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