Effect of Estimation Timing Error on Pre-TDE for Narrowband Uplink NOMA

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

Abstract

For realizing narrowband IoT such as sensor networks, we investigate narrowband uplink non-orthogonal multiple access (NOMA), which has high spectrum efficiency. In the narrowband uplink NOMA system, multiple access interference (MAI) occurs because the signals from non-orthogonal nodes propagate different time selective fading channels. In this situation, time-domain pre-equalization (Pre-TDE) can suppress MAI. Since narrowband communication has a small data rate and long data communication time, the effect of estimation timing error t on pre-TDE is large. In this paper, to clarify the effect of fading on narrowband uplink NOMA we evaluated the effect of the estimation timing error. As a result of link-level simulation considering the estimation timing error, we verified that bit error rate (BER) is less than 10-3 when the estimation timing error is within 1.5ms from the channel estimation value.

Original languageEnglish
Title of host publicationWPMC 2020 - 23rd International Symposium on Wireless Personal Multimedia Communications
Subtitle of host publicationBridging Wireless and Business Worlds
PublisherIEEE Computer Society
ISBN (Electronic)9781728182964
DOIs
Publication statusPublished - 2020 Oct 19
Event23rd International Symposium on Wireless Personal Multimedia Communications, WPMC 2020 - Virtual, Okayama, Japan
Duration: 2020 Oct 192020 Oct 26

Publication series

NameInternational Symposium on Wireless Personal Multimedia Communications, WPMC
Volume2020-October
ISSN (Print)1347-6890

Conference

Conference23rd International Symposium on Wireless Personal Multimedia Communications, WPMC 2020
CountryJapan
CityVirtual, Okayama
Period20/10/1920/10/26

Keywords

  • IoT
  • NOMA
  • Narrowband communication
  • SIC
  • Time selective fading channel
  • Time-domain pre-equalization
  • Uplink communication

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Human-Computer Interaction

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