A random filtering mapping method for PAPR reduction based on generalized frequency division multiplexing

Shanshan Ren, Bo Liu, Lijia Zhang, Xiangjun Xin, Rahat Ullah, Lan Rao, Feng Zhao, Sai Ji, Zhaowei Qu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

In the paper, we propose a new method, namely Random Filtering Mapping (RFM), through which the peak-toaverage power ratio (PAPR) of the Generalized frequency division multiplexing (GFDM) signal is reduced.Then, the improved signal is transmitted through the Radio Over Fiber (ROF) system of Single SideBand (SSB) modulation and optical fiber of 60Km.The simulation results show that the PAPR of the RFM-GFDM signal is about 5dB lower than the original GFDM signal. In addition, the EVM of the RFM-GFDM signal is about 0.5%-5% lower than the original GFDM.The proposed method greatly improves the performance of the GFDM signal in ROF system, which is a better choice for transmission.

Original languageEnglish
Title of host publicationICOCN 2017 - 16th International Conference on Optical Communications and Networks
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-3
Number of pages3
ISBN (Electronic)9781538632734
DOIs
Publication statusPublished - 27 Nov 2017
Externally publishedYes
Event16th International Conference on Optical Communications and Networks, ICOCN 2017 - Wuzhen, China
Duration: 7 Aug 201710 Aug 2017

Publication series

NameICOCN 2017 - 16th International Conference on Optical Communications and Networks
Volume2017-January

Conference

Conference16th International Conference on Optical Communications and Networks, ICOCN 2017
Country/TerritoryChina
CityWuzhen
Period7/08/1710/08/17

Keywords

  • GFDM
  • MATLAB
  • Optisystem.
  • PAPR
  • ROF system
  • Random filtermapping method (RFM)

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