A high PAPR is well known as the serious problem of OFDM system because of a huge degradation of its signal quality, especially in the non-linear channel. From the reason, many PAPR reduction schemes have been proposed for solving this problem. The Partial Transmit Sequence (PTS) scheme is one of the PAPR reduction schemes which can improve the PAPR performance effectively. However, its computational complexity would be increased which is proportional to the increasing number of symbol clusters in the optimum PAPR value for a PAPR reduction process. To solve this problem, this paper proposes the PAPR reduction scheme based on the improved PTS with Artificial Bee Colony (ABC) algorithm for OFDM system. The potential capability of the proposed scheme is the PAPR reduction performance with low computational complexity which leads to the improvement of signal quality in the OFDM system. The excellent PAPR reduction performance with the low computational complexity of the proposed scheme has been verified by the computer simulations in this paper.

Interleaved partitioning partial transmit sequence (PTS) has lower computational complexity when compared with adjacent partitioning PTS and pseudo random partitioning PTS. However, the PAPR performance of interleaved partitioning PTS is worse than other methods. This paper proposes a new phase factors for Partial Transmit Sequence (PTS) method with interleaved partitioning scheme, which can improve the PAPR performance as compared with the conventional PTS method, without any increasing of side information and the computational complexity.

The Partial Transmit Sequence (PTS) is well known algorithm for reducing peak-to-average ratio (PAPR) in OFDM system. The PTS can improve PAPR reduction performance relatively as increasing a number of weighting factors and clusters. However, the size of side information and computation complexity proportionally increase as increasing the number of weighting factors or/and clusters. The higher computational complexity in the phase coefficient searching makes it difficult to implement in the actual OFDM system. In this paper, we propose a low computation complexity PTS phase coefficient searching algorithm conjunction with new weighting factor. The proposed method can achieve better PAPR reduction performance and computation complexity than those for the conventional PTS method.