Trellis-Assisted Constellation Subset Selection for PAPR Reduction of OFDM Signals
Trellis-Assisted Constellation Subset Selection for PAPR Reduction of OFDM Signals
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DOI：
10.1109/tvt.2016.2572139
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发表时间：
2017-03
影响因子：
6.8
通讯作者：
R. Yoshizawa;H. Ochiai
中科院分区：
文献类型：
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作者：
R. Yoshizawa;H. Ochiai
针对正交频分复用（OFDM）信号，提出了一种新的降低峰均功率比（PAPR）的技术，称为网格辅助星座子集选择（TACSS，简称TAX）。我们通过明智地选择用于PAPR降低的适当星座子集来控制信号过渡，其中控制位受到存储器库施加的基于网格的约束。还介绍了一种新的星座设计适合所提出的系统。所提出的方法提供的一个主要属性是，控制位和信息位是完全分离的接收机，这导致了一个简单的实现其软输入软输出（SISO）解码器的编码OFDM系统。通过对PAPR降低能力、功率放大器（PA）效率、平均互信息（AMI）和误比特率（BER）的性能分析，给出了该系统的发射机和接收机性能之间的折衷关系。此外，所提出的方案与其他主要的PAPR降低方案，如网格成形，离散傅立叶变换（DFT）预编码，限幅和滤波的性能比较表明其在高频谱效率制度的实际优势。
In this paper, we propose a new peak-to-average power ratio (PAPR) reduction technique, which is referred to as trellis-assisted constellation subset selection (TACSS, or TAX for short), for orthogonal frequency-division multiplexing (OFDM) signals. We control the signal transition by judiciously selecting the appropriate constellation subset for PAPR reduction with the controlling bits that are subject to the trellis-based constraint imposed by a bank of memories. A novel constellation design suitable for the proposed system is also introduced. A major property offered by the proposed approach is that the controlling bits and the information bits are perfectly separable at the receiver, which leads to a simple implementation of its soft-in–soft-out (SISO) decoder for coded OFDM systems. Through the performance analysis of PAPR reduction capability, power amplifier (PA) efficiency, average mutual information (AMI), and bit error rate (BER), the achievable tradeoff relationship between the transmitter and receiver performances of the proposed system is addressed. Furthermore, performance comparisons of the proposed scheme with other major PAPR reduction schemes such as trellis shaping, discrete Fourier transform (DFT) precoding, and clipping and filtering demonstrate its practical advantage in a high-spectral-efficiency regime.