Extreme Massive MIMO for Upper-Mid Band 6G Communications

Kwanghoon Lee, Jonghyun Kim, Eui Whan Jin, Kwang Soon Kim

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

Abstract

It is necessary to study the frequency characteristics in the upper-mid band, one of the new frequency candidates of 6G, and the extreme massive MIMO scheme using it. Research on a fully digital massive MIMO precoding method has drawn much attention to achieve near optimal performance with low complexity by exploiting the channel characteristics. In 6G, It is desired to utilize appropriate MIMO schemes suitable for upper-mid bands to provide not only peak data rate up to 1 Tbps but also user experienced rate up to 1 Gbps anywhere anytime, However the channel characteristics in the upper-mid band at the mobile communication environment are not yet known. In this paper, an exemplary multi-user MIMO channel is tested in the upper-mid band by utilizing ray-tracing, investigate the channel characteristics, and to show possible the corresponding MU-MIMO schemes.

Original languageEnglish
Title of host publicationICTC 2022 - 13th International Conference on Information and Communication Technology Convergence
Subtitle of host publicationAccelerating Digital Transformation with ICT Innovation
PublisherIEEE Computer Society
Pages997-999
Number of pages3
ISBN (Electronic)9781665499392
DOIs
Publication statusPublished - 2022
Event13th International Conference on Information and Communication Technology Convergence, ICTC 2022 - Jeju Island, Korea, Republic of
Duration: 2022 Oct 192022 Oct 21

Publication series

NameInternational Conference on ICT Convergence
Volume2022-October
ISSN (Print)2162-1233
ISSN (Electronic)2162-1241

Conference

Conference13th International Conference on Information and Communication Technology Convergence, ICTC 2022
Country/TerritoryKorea, Republic of
CityJeju Island
Period22/10/1922/10/21

Bibliographical note

Funding Information:
This work was supported by the National Research Foundation of Korea(NRF) grant funded by the Korea government (MSIT) (No. 2022R1A5A1027646)

Publisher Copyright:
© 2022 IEEE.

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Computer Networks and Communications

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