MU-MIMO-OFDM with Analog Beamforming and Spreading Codes for User Separation

Kei Nakahara, Kosuke Terui, Yukitoshi Sanada

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

Abstract

This paper presents a multiuser (MU)-multiple-input multiple-output (MIMO)-orthogonal frequency division multiplexing (OFDM) scheme that realizes signal separation among mobile terminals by spreading codes on top of analog beamforming with analog-digital hybrid massive MIMO. Multiuser MIMO scheme suffers from interference among terminals caused by inaccurate information of channel responses. The channel state information (CSI) of the terminals are outdated owing to a Doppler shift if there is a time lag between channel estimation and CSI feedback. Thus, this paper proposes an MU-MIMO-OFDM scheme with analog-digital hybrid massive MIMO and orthogonal spreading codes that separates signals for mobile terminals. Numerical results obtained through computer simulation show that on WINNER II Umi NLOS channel the proposed scheme improves bit error rate (BER) performance by 1.0dB at a bit error rate of 10-3 in comparison with the conventional MU-MIMO.

Original languageEnglish
Title of host publicationISPACS 2018 - 2018 International Symposium on Intelligent Signal Processing and Communication Systems
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages96-101
Number of pages6
ISBN (Electronic)9781538657713
DOIs
Publication statusPublished - 2018 Nov
Event2018 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2018 - Ishigaki Island, Okinawa, Japan
Duration: 2018 Nov 272018 Nov 30

Publication series

NameISPACS 2018 - 2018 International Symposium on Intelligent Signal Processing and Communication Systems

Conference

Conference2018 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2018
CountryJapan
CityIshigaki Island, Okinawa
Period18/11/2718/11/30

ASJC Scopus subject areas

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

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