Optimized Squared Cosine Pulse Shaping of GFDM with Improved Hippopotamus Optimization for 5G and Beyond Applications
| International Journal of Electrical and Electronics Engineering |
| © 2024 by SSRG - IJEEE Journal |
| Volume 11 Issue 11 |
| Year of Publication : 2024 |
| Authors : Deepak Kumar Ray, Shruti Oza |
10.14445/23488379/IJEEE-V11I11P116
How to Cite?
Deepak Kumar Ray, Shruti Oza, "Optimized Squared Cosine Pulse Shaping of GFDM with Improved Hippopotamus Optimization for 5G and Beyond Applications," SSRG International Journal of Electrical and Electronics Engineering, vol. 11, no. 11, pp. 150-159, 2024. Crossref, https://doi.org/10.14445/23488379/IJEEE-V11I11P116
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.
Keywords:
Generalized Frequency Division Multiplexing, Fifth generation, Bit error rate reduction, Quadrature Enhanced Spatial Modulation, Squared cosine pulse shaping, Improved Hippopotamus Optimization algorithm.
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