A Novel PTS-SIGWO Algorithm for Minimization of PAPR in FBMC/OQAM System

Abstract

- The orthogonal frequency division multiplexing (OFDM) method was the most well-known and attractive technique utilized in wireless communication for large-scale data transfer at a high rate. OFDM has been widely employed as a more effective multicarrier modulation approach in various radio frequency wireless communication standards. But the drawback of OFDM is high Peak-to-Average Power Ratio (PAPR) and low Bit Error Rate (BER) performance. These problems can be overcome using a multicarrier filter bank with an offset quadrature amplitude modulation (FBMC/OQAM) system. For PAPR minimization in high-speed wireless communication systems, effective approaches are required. An effective technique to lower the PAPR is partial transmit sequence (PTS). In this paper, a PTS based on the Swarm Intelligence Grey Wolf Optimization method (PTS-SIGWO) is suggested and used in the FBMC/OQAM system to minimize the PAPR and increase the BER performance. In this paper, the subcarrier phase factor search in the PTS technique is enhanced by implementing a meta-heuristic algorithm called GWO. The suggested GWO achieves nearly optimal performance with a less number of iterations by balancing the exploration and exploitation phases when searching for peak power carriers. The simulation results are generated using the MATLAB tool. The results of the suggested technique demonstrate that PAPR and computational complexity have been effectively reduced, and BER performance has increased compared to other techniques. The proposed method has a PAPR of 3.3dB; other methods require more than 4dB to achieve a CCDF of 10 -3 .