An optimal partial transmit sequence combination method for peak-to-average power ratio reduction in SC-FDMA system

Meng-Chun Wu, Takafumi Hayashi
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引用次数: 1

Abstract

Peak to average power ratio (PAPR) is the major problem in wireless transmission system. Partial transmit sequences (PTS) is one of effective method to reduce PAPR. PTS divides the input data into sub-blocks, and each of sub-blocks are multiply by phase factor to generate numerous candidate sequences. Then choose one of candidate sequence with minimum PAPR to transmission. However, PTS suffer from high computational complexity when increases with number of sub-blocks. Single carrier frequency division multiplexing access (SC-FDMA) has provided lower PAPR compare with orthogonal frequency division multiplexing (OFDM), and has been choose for uplink system in long term evolution (LTE) technology. We proposed a combination based on particle swarm optimization (PSO) to decrease the computational complexity.
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一种降低SC-FDMA系统峰均功率比的最优部分发射序列组合方法
峰值平均功率比(PAPR)是无线传输系统中的主要问题。部分传输序列(PTS)是降低PAPR的有效方法之一。PTS将输入数据分成子块,每个子块乘以相位因子生成多个候选序列。然后选择PAPR最小的候选序列进行传输。然而,随着子块数量的增加,PTS的计算复杂度很高。与正交频分复用(OFDM)相比,单载波频分复用(SC-FDMA)具有更低的PAPR,已被长期演进(LTE)技术中的上行系统所选择。为了降低计算复杂度,提出了一种基于粒子群优化(PSO)的组合算法。
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