| 大会名称 |
| 2023年 ソサイエティ大会 |
| 大会コ－ド |
| 2023S |
| 開催年 |
|
2023
|
| 発行日 |
|
2023/9/5
|
| セッション番号 |
|
B-5A
|
| セッション名 |
|
無線通信システムA
|
| 講演日 |
|
2023/9/12
|
| 講演場所(会議室等) |
|
全学教育棟 本館 南棟 2階S2Y講義室
|
| 講演番号 |
|
B-5-14
|
| タイトル |
|
Impact of channel aging on 5G NR multiuser massive MIMO: Performance analysis with system level simulation
|
| 著者名 |
|
○Prakash Chaki, Jun Shikida, Kazushi Muraoka,
|
| キーワード |
|
Channel aging, massive MIMO, multiuser MIMO, channel prediction, beyond 5G
|
| 抄録 |
|
In this paper, we investigate the effects of channel aging in the 5G new radio (NR) frequency range 1 (FR1) multiuser massive multiple-input multiple-output (MU-MIMO) system. Wireless channel ages between the timing of uplink channel estimation and that of downlink beamforming transmission. This can lead to severe performance degradation due to inaccurate beamforming weight calculation resulting in inter-user interference. We demonstrate the severity of channel aging problem in 5G NR MU-MIMO with system level simulation of 3GPP channel model, and additionally show that a simple channel prediction method can potentially compensate a part of the throughput penalty.
|
| 本文pdf |
|
PDF download
|
