Performance analysis of polarized oam multiplexing considering the effect of polarization interference

Shuhei Saito, Yuki Ito, Hirofumi Suganuma, Kayo Ogawa, Fumiaki Maehara

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

Abstract

This paper investigates the system capacity of polarized orbital angular momentum (OAM) multiplexing considering the impact of polarization interference. Dipole antenna is considered as the practical radiation pattern and the composition of the received mode signal is clarified by analyzing the effect of cross-polarization interference from other modes, as well as both cross-polarization interference in a certain mode and co-polarization interference from different modes. Based on the interference analysis, system capacity is precisely evaluated by comparison with the isotropic antenna case, employing a link distance and carrier frequency parameter. The numerical results show that cross-polarization interference from other modes rises at the regular mode interval, presenting a significant impact on system capacity, particularly for relatively short link distances or low carrier frequencies.

Original languageEnglish
Title of host publication2020 IEEE International Conference on Communications Workshops, ICC Workshops 2020 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728174402
DOIs
Publication statusPublished - 2020 Jun
Event2020 IEEE International Conference on Communications Workshops, ICC Workshops 2020 - Dublin, Ireland
Duration: 2020 Jun 72020 Jun 11

Publication series

Name2020 IEEE International Conference on Communications Workshops, ICC Workshops 2020 - Proceedings

Conference

Conference2020 IEEE International Conference on Communications Workshops, ICC Workshops 2020
CountryIreland
CityDublin
Period20/6/720/6/11

Keywords

  • Mode multiplexing
  • Orbital angular momentum (OAM)
  • Polarization
  • Radiation pattern
  • System capacity
  • Uniform circular array (UCA)

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Signal Processing
  • Information Systems and Management
  • Control and Optimization

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