On PAPR characteristics of DFT-s-OFDM with geometric and probabilistic constellation shaping

Anastasios Kakkavas, Wen Xu, Jian Luo, Mario Castaneda, Josef A. Nossek

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

8 Scopus citations

Abstract

DFT-s-OFDM/Discrete Fourier Transform (DFT) spread Orthogonal Frequency Division Multiplexing (OFDM) is a waveform adopted in the fourth and fifth generation of the mobile communication standards, aiming to combine the merits of Cyclic Prefix (CP) OFDM with a low Peak-to-Average-Power Ratio (PAPR). Due to the growing interest in geometric and probabilistic shaping of the signal constellation, it is important to study the impact of shaping on the power distribution of the corresponding signal. In this work, exact and approximate analytic expressions are derived for the Instantaneous-to-Average-Power Ratio (IAPR) and PAPR of this waveform, respectively. These expressions can be used for understanding and comparison of the effects of geometric and probabilistic shaping techniques on the power distribution of the transmitted signal.

Original languageEnglish
Title of host publication18th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-5
Number of pages5
ISBN (Electronic)9781509030088
DOIs
StatePublished - 19 Dec 2017
Event18th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2017 - Sapporo, Japan
Duration: 3 Jul 20176 Jul 2017

Publication series

NameIEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC
Volume2017-July

Conference

Conference18th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2017
Country/TerritoryJapan
CitySapporo
Period3/07/176/07/17

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