Truncating and oversampling OFDM signals in white Gaussian noise channels

Waseem Ozan, Kyle Jamieson, Izzat Darwazeh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Scopus citations

Abstract

This work introduces a modified version of the orthogonal frequency division multiplexing (OFDM) signal by truncating OFDM symbols in the time domain. Sub-carriers are no longer orthogonally packed in the frequency domain as time samples are only partially transmitted, leading to improved spectral efficiency. In this work, mathematical expressions are derived for the newly proposed Truncated OFDM (TOFDM) signal, followed by interference analysis and performance comparisons. We also consider optimal and practical decoder architectures. Results from a Sphere Decoder-based decoder indicate that truncation length can significantly affect the error performance. With short truncation length, using a purpose designed detector, signals can be recovered even with truncated symbol transmission.

Original languageEnglish (US)
Title of host publication2016 10th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509025268
DOIs
StatePublished - Sep 21 2016
Event10th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2016 - Prague, Czech Republic
Duration: Jul 20 2016Jul 23 2016

Publication series

Name2016 10th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2016

Other

Other10th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2016
Country/TerritoryCzech Republic
CityPrague
Period7/20/167/23/16

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications
  • Signal Processing

Keywords

  • Multicarrier modulation
  • SEFDM
  • Truncated OFDM

Fingerprint

Dive into the research topics of 'Truncating and oversampling OFDM signals in white Gaussian noise channels'. Together they form a unique fingerprint.

Cite this