Partial Transmit Sequence (PTS) based PAPR reduction for OFDM using improved harmony search evolutionary algorithm

Abstract

This paper considers the use of the Partial Transmit Sequence (PTS) technique to reduce the Peak-to-Average Power Ratio (PAPR) of an Orthogonal Frequency Division Multiplexing signal in wireless communication systems. Search complexity is very high in the traditional PTS scheme because it involves an extensive random search over all combinations of allowed phase vectors, and it increases exponentially with the number of phase vectors. In this paper, a suboptimal metaheuristic algorithm for phase optimization based on an improved harmony search (IHS) is applied to explore the optimal combination of phase vectors that provides improved performance compared with existing evolutionary algorithms such as the harmony search algorithm and firefly algorithm. IHS enhances the accuracy and convergence rate of the conventional algorithms with very few parameters to adjust. Simulation results show that an improved harmony search-based PTS algorithm can achieve a significant reduction in PAPR using a simple network structure compared with conventional algorithms.

Partial Transmit Sequence Optimization Using Improved Harmony Search Algorithm for PAPR Reduction in OFDM

“…The optimization-algorithm-based PTS shows an improvement in PAPR performance in each case. From the above descriptions, we can see that IHS-PTS is an effective technique for reducing the PAPR of an OFDM system, even with a large number of subcarriers [31]. Figure 9 compares the CCDF vs. PAPR performance of the IHS-PTS technique as a function of various iterations K in a system with 16-QAM modulation, N = 256, M = 8, and W = 2.…”