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 language | English (US) |
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Pages (from-to) | 150-159 |
Number of pages | 10 |
Journal | SSRG International Journal of Electrical and Electronics Engineering |
Volume | 11 |
Issue number | 11 |
DOIs | |
State | Published - Nov 2024 |
Externally published | Yes |
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