PAPR reduction of FBMC-OQAM signals using particle swam optimization algorithm based on MBJO-PTS

Abstract

In recent years one of key technologies of 5G, the system of filter bank multicarrier with offset quadrature amplitude modulation (FBMC-OQAM) has been studied widely. The peak-to-average power ratio (PAPR) is reduced for FBMC-OQAM system using particle swam optimization algorithm (PSOA) based multi-block joint optimization with partial transmit sequence (MBJO-PTS) technique. Because of overlapping structure of FBMC-OQAM signals the PSOA is not directly used to FBMC-OQAM systems. Multi-blocks joint of transmit sequences for the FBMC system are divided into partial transmit sequence (PTS) for PAPR reduction. PSOA can be guaranteed to the optimal phase factors. It is demonstrated that the PAPR of FBMC-OQAM system with PSOA performers better than the original FBMC-OQAM system via simulations. The simulation results also demonstrate the complementary cumulative distribution function (CCDF) can be obtained under the different numbers of subcarriers and subblocks.