Enhancing PAPR and Throughput for DFT-s-OFDM System Using FTN and IOTA Filtering

Xinran Zhuo, Jianxiong Pan, Huwei Wang, Xiangming Li*, Neng Ye*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

High frequency wireless communication aims to provide ultra high-speed transmissions for various application scenarios. The waveform design for high frequency communication is challenging due to the requirements for high spectrum efficiency, as well as good hardware compatibility. With high flexibility and low peak-to-average power ratio (PAPR), discrete Fourier transformation spreading-based orthogonal frequency division multiplexing (DFT-s-OFDM) can be a promising candidate waveform. To further enhance the spectral efficiency, we integrate faster-than-Nyquist (FTN) signaling in DFT-s-OFDM, and find that the PAPR performance can also be improved. While FTN can introduce increased inter-symbol interference (ISI), in this paper, we deploy an isotropic orthogonal transform algorithm (IOTA) filter for FTN-enhanced DFT-s-OFDM, where the compact time-frequency structure of the IOTA filter can significantly reduce the ISI. Simulation results show that the proposed waveform is capable of achieving good performance in PAPR, bit error rate (BER) and throughput, simultaneously, with 3.5 dB gain in PAPR and 50% gain in throughput.

Original languageEnglish
Article number4907
JournalSensors
Volume22
Issue number13
DOIs
Publication statusPublished - 1 Jul 2022

Keywords

  • DFT-s-OFDM
  • FTN
  • IOTA filter
  • PAPR
  • high frequency
  • waveform

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