A Low Complexity Technique for Reducing PAPR in UF-OFDM Using a Modified Harmony Search Algorithm

Universal Filtered Orthogonal Frequency Division Multiplexing (UF-OFDM) is one of the main candidate wave-form for the next generation of mobile communication due to its advantages in terms of spectral efficiency and the robustness against frequency offsets and Doppler spread. UF-OFDM suffers from the problem of having a high Peak to Average Power Ratio (PAPR) compared to conventional OFDM systems. Therefore, the development of efficient PAPR reduction methods is crucial. In this paper, we apply the Partial Transmit Sequence (PTS) method to reduce the PAPR in UF-OFDM systems as it does not suffer from spectral regrowth; also it does not impact the Bit Error Rate (BER). Due to the computational complexity of PTS, the Harmony Search Algorithm (HSA) is proposed where the proposed HSA will save about 84% of complexity compared with the conventional PTS. Moreover, a novel “adaptive HSA” technique is presented that gives the same performance as HSA with PTS while it saves about 48.3% in run time.