Precoding based analog channel state information feedback scheme

I. Tai Lu, Juan Fang, Hanqing Lou

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

Abstract

By exploiting the multiple-input-multiple-output (MIMO) channel estimation and precoding, a novel analog information transmission approach is employed for the user stations (STAs) to feedback channel state information (CSI) to the access point (AP) in downlink multi-user MIMO (DL MU-MIMO) systems. Feedback frame designs and simulation results based on IEEE 802.11ac system are presented. Comparing with the existing explicit compressed feedback approach, the proposed analog CSI feedback approach achieves the same bit error rate but requires a much smaller overhead for DL MU MIMO systems.

Original languageEnglish (US)
Title of host publication2018 IEEE Long Island Systems, Applications and Technology Conference, LISAT 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
ISBN (Electronic)9781538650295
DOIs
StatePublished - Jun 8 2018
Event2018 IEEE Long Island Systems, Applications and Technology Conference, LISAT 2018 - Farmingdale, United States
Duration: May 4 2018 → …

Publication series

Name2018 IEEE Long Island Systems, Applications and Technology Conference, LISAT 2018

Other

Other2018 IEEE Long Island Systems, Applications and Technology Conference, LISAT 2018
CountryUnited States
CityFarmingdale
Period5/4/18 → …

Keywords

  • 802.11ac
  • channel state information feedback
  • multi-user MIMO
  • precoding

ASJC Scopus subject areas

  • Computer Science Applications
  • Software
  • Safety, Risk, Reliability and Quality
  • Computer Networks and Communications
  • Information Systems and Management
  • Education
  • Health(social science)

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  • Cite this

    Lu, I. T., Fang, J., & Lou, H. (2018). Precoding based analog channel state information feedback scheme. In 2018 IEEE Long Island Systems, Applications and Technology Conference, LISAT 2018 (pp. 1-6). (2018 IEEE Long Island Systems, Applications and Technology Conference, LISAT 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/LISAT.2018.8378029