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 language | English |
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Title of host publication | ICTC 2022 - 13th International Conference on Information and Communication Technology Convergence |
Subtitle of host publication | Accelerating Digital Transformation with ICT Innovation |
Publisher | IEEE Computer Society |
Pages | 997-999 |
Number of pages | 3 |
ISBN (Electronic) | 9781665499392 |
DOIs | |
Publication status | Published - 2022 |
Event | 13th International Conference on Information and Communication Technology Convergence, ICTC 2022 - Jeju Island, Korea, Republic of Duration: 2022 Oct 19 → 2022 Oct 21 |
Publication series
Name | International Conference on ICT Convergence |
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Volume | 2022-October |
ISSN (Print) | 2162-1233 |
ISSN (Electronic) | 2162-1241 |
Conference
Conference | 13th International Conference on Information and Communication Technology Convergence, ICTC 2022 |
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Country/Territory | Korea, Republic of |
City | Jeju Island |
Period | 22/10/19 → 22/10/21 |
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