Peak-to-Average Power Ratio Reduction of OFDM Systems Towards 6G Communications Using Osprey Optimization Algorithm

The development of 6G communication networks requires increased transmission speeds, extensive data processing capabilities, and minimal communication delays. Orthogonal frequency division multiplexing (OFDM) systems has higher peak-to-average power ratio (PAPR) adopting 5G applications. Exploring all possible sequences of phase weighting factors is necessary since the PTS technique significantly decreases the PAPR. Since PTS strategy reduces the PAPR greatly, it necessitates the exploration of all conceivable sequences of phase weighting variables. As a result, the computerized cost expands proportionally as several number of separated sub obstruct grows. In this manuscript, Peak-to-Average Power Ratio Reduction of Orthogonal Frequency Division Multiplexing Signals utilizing Osprey Optimization Algorithm (PAPRR-OFDMS-OOA) is proposed for reduction of PAPR and computerized cost of OFDM systems. Orthogonal Frequency Division Multiplexing (OFDM) is used in 5G communication to achieve increased data transfer rates. The 6th generation of communication requires OFDM due to its higher spectral efficiency and suitability for massive data transfer. To lower the high computational costs and PAPR of OFDM systems, the Osprey Optimization Algorithm (OOA) is used with reduce OFDM systems high PAPR and high computational costs. The proposed system is implemented in MATLAB and the performance of proposed technique is analyzed with that of other existing techniques. The proposed method attains 19.69%, 23.54% and 17.28% low Computational complexity, 17.69%, 21.24% and 12.18% low Cumulative Distribution Function of Optimal Partial Transmit System, 12.19%, 24.17% and 18.25% lower cost function values, and 16.22%, 22.29% and 13.21% lower BER execution of the proposed OFDM compared with the existing methods such as have presented an Ant colony optimization process for PAPR decreasing of OFDM signals (PAPRR-OFDMS-ACO), low-complexity PAPR decreasing technique based on TLBO process for OFDM signal (PAPRR-OFDMS-TLBO), particle swarm optimization-depend dummy sub-carriers insertion for PAPR reduction in OFDM systems (PAPRR-OFDMS-PSO) respectively.