Selective Mapping Technique Based on an Adaptive Phase-Generation Mechanism to Reduce Peak-to-Average Power Ratio in Orthogonal Frequency Division Multiplexing Systems

17Citations
Citations of this article
13Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

This paper aimed to investigate how to construct a phase-generation mechanism with a systematic structure and without diminishing the peak-to-average power ratio (PAPR) reduction performance of a conventional selective mapping (SLM) technique. The SLM is a prevalent technique for reducing the PAPR and is often applied in orthogonal frequency division multiplexing (OFDM) systems. Despite effectively reducing the PAPR, the SLM generates phase sequences randomly, creating a lack of systematic structure and increased system complexity. Therefore, this paper sets an adaptive threshold value to evaluate the characteristics of input signals. On the basis of the evaluated characteristics, this paper selected the optimal phase-generation mechanism to produce phase sequences. In the proposed method, the phase-generation mechanism was established according to the structure of Reed-Muller codes, thereby achieving a systematic structure that the random generation technique lacks. Compared with the conventional SLM techniques, the proposed method required an additional bit of side information for each transmitted signal but could approximate the PAPR reduction performance of the conventional SLM technique according to the simulation results.

Cite

CITATION STYLE

APA

Liang, H. Y. (2019). Selective Mapping Technique Based on an Adaptive Phase-Generation Mechanism to Reduce Peak-to-Average Power Ratio in Orthogonal Frequency Division Multiplexing Systems. IEEE Access, 7, 96712–96718. https://doi.org/10.1109/ACCESS.2019.2929769

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free