Publication: An improvement of papr reduction using fireworks search optimization algorithm in ofdm systems
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Date
2023-09
Authors
Nurliyana binti Mat Fuzi
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Abstract
A concise overview of the study's key findings and contributions in PAPR reduction techniques for Orthogonal Frequency Division Multiplexing (OFDM) signals to address the high Peak-to-Average Power Ratio (PAPR) challenge in MIMO-OFDM systems. The proposed method combines the Partial Transmit Sequences (PTS) technique with the Fireworks Algorithm (FWA) to reduce computational complexity while maintaining effective PAPR reduction. By utilising the swarm intelligence of FWA, the proposed approach significantly reduces the exhaustive search required to find optimal phase factors in PTS. This reduction in computational complexity makes the method more practical for real-world applications, especially as the number of subblocks increases. Simulation results demonstrate the superiority of the proposed method over other evolutionary algorithms commonly used for PAPR reduction. Comparisons with the conventional PTS scheme and the original OFDM scheme without PAPR reduction highlight the significant performance improvement achieved by the FWA-PTS scheme. Through comprehensive simulations, the study explores PAPR behaviour and Complementary Cumulative Distribution Function (CCDF) analysis, showcasing how PTS reduces peak amplitudes and optimises power distribution. In summary, the proposed method offers a practical and efficient solution for reducing PAPR in MIMO-OFDM systems. It effectively balances computational complexity and PAPR reduction performance by leveraging the swarm intelligence of FWA.