Channel Estimation for mmWave MIMO using sub-6 GHz Out-of-Band Information

被引:0
作者
Pasic, Faruk [1 ]
Hofer, Markus [3 ]
Mussbah, Mariam [1 ,2 ]
Caban, Sebastian [1 ]
Schwarz, Stefan [1 ]
Zemen, Thomas [3 ]
Mecklenbrauker, Christoph F. [1 ]
机构
[1] TU Wien, Inst Telecommun, Vienna, Austria
[2] Christian Doppler Lab Digital Twin Assisted AI Su, Vienna, Austria
[3] AIT Austrian Inst Technol, Vienna, Austria
来源
2024 INTERNATIONAL CONFERENCE ON SMART APPLICATIONS, COMMUNICATIONS AND NETWORKING, SMARTNETS-2024 | 2024年
关键词
channel estimation; mmWave; sub-6; GHz; 5G; MIMO; out-of-band information; beamforming; BEAM-SELECTION;
D O I
10.1109/SMARTNETS61466.2024.10577648
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Future wireless multiple-input multiple-output (MIMO) communication systems will employ sub-6 GHz and millimeter wave (mmWave) frequency bands working cooperatively. Establishing a MIMO communication link usually relies on estimating channel state information (CSI) which is difficult to acquire at mmWave frequencies due to a low signal-to-noise ratio (SNR). In this paper, we propose three novel methods to estimate mmWave MIMO channels using out-of-band information obtained from the sub-6GHz band. We compare the proposed channel estimation methods with a conventional one utilizing only in-band information. Simulation results show that the proposed methods outperform the conventional mmWave channel estimation method in terms of achievable spectral efficiency, especially at low SNR and high K-factor.
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页数:6
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