Channel estimation for mmWave MIMO using sub-6 GHz out-of-band information

Faruk Pasic; Markus Hofer; Mariam Mussbah; Sebastian Caban; Stefan Schwarz; Thomas Zemen; Christoph F. Mecklenbräuker

doi:10.1109/SmartNets61466.2024.10577648

Channel estimation for mmWave MIMO using sub-6 GHz out-of-band information

Faruk Pasic (Author and Speaker)
, Markus Hofer
, Mariam Mussbah
, Sebastian Caban
, Stefan Schwarz
, Thomas Zemen
, Christoph F. Mecklenbräuker

TU Wien, Institute of Telecommunications

Research output: Chapter in Book or Conference Proceedings › Conference Proceedings with Oral Presentation › peer-review

Abstract

Future wireless multiple-input multiple-output
(MIMO) communication systems will employ sub-6 GHz and
millimeter wave (mmWave) frequency bands working cooper-
atively. 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 es-
timate mmWave MIMO channels using out-of-band information
obtained from the sub-6 GHz 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.

Original language	English
Title of host publication	2024 International Conference on Smart Applications, Communications and Networking, SmartNets 2024
Number of pages	6
ISBN (Electronic)	979-8-3503-8532-8
DOIs	https://doi.org/10.1109/SmartNets61466.2024.10577648
Publication status	Published - 1 May 2024
Event	2024 International Conference on Smart Applications, Communications and Networking (SmartNets) - Harrisonburg, Virginia, United States Duration: 28 May 2024 → 30 May 2024

Conference

Conference	2024 International Conference on Smart Applications, Communications and Networking (SmartNets)
Country/Territory	United States
City	Virginia
Period	28/05/24 → 30/05/24

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Research Field

Former Research Field - Enabling Digital Technologies

Keywords

channel estimation
mmWave
sub-6 GHz
6G
out-of-band information
beamforming

Access to Document

10.1109/SmartNets61466.2024.10577648

http://thomaszemen.org/papers/Pasic24-SMARTNETS-paper.pdf

Cite this

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title = "Channel estimation for mmWave MIMO using sub-6 GHz out-of-band information",

abstract = "Future wireless multiple-input multiple-output (MIMO) communication systems will employ sub-6 GHz and millimeter wave (mmWave) frequency bands working cooper- atively. 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 es- timate mmWave MIMO channels using out-of-band information obtained from the sub-6 GHz 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.",

keywords = "channel estimation, mmWave, sub-6 GHz, 6G, out-of-band information, beamforming",

author = "Faruk Pasic and Markus Hofer and Mariam Mussbah and Sebastian Caban and Stefan Schwarz and Thomas Zemen and Mecklenbr{\"a}uker, \{Christoph F.\}",

year = "2024",

month = may,

day = "1",

doi = "10.1109/SmartNets61466.2024.10577648",

language = "English",

isbn = "979-8-3503-8533-5",

booktitle = "2024 International Conference on Smart Applications, Communications and Networking, SmartNets 2024",

note = "2024 International Conference on Smart Applications, Communications and Networking (SmartNets) ; Conference date: 28-05-2024 Through 30-05-2024",

}

Pasic, F, Hofer, M, Mussbah, M, Caban, S, Schwarz, S, Zemen, T & Mecklenbräuker, CF 2024, Channel estimation for mmWave MIMO using sub-6 GHz out-of-band information. in 2024 International Conference on Smart Applications, Communications and Networking, SmartNets 2024. 2024 International Conference on Smart Applications, Communications and Networking (SmartNets), Virginia, Virginia, United States, 28/05/24. https://doi.org/10.1109/SmartNets61466.2024.10577648

Channel estimation for mmWave MIMO using sub-6 GHz out-of-band information. / Pasic, Faruk (Author and Speaker); Hofer, Markus; Mussbah, Mariam et al.
2024 International Conference on Smart Applications, Communications and Networking, SmartNets 2024. 2024.

Research output: Chapter in Book or Conference Proceedings › Conference Proceedings with Oral Presentation › peer-review

TY - GEN

T1 - Channel estimation for mmWave MIMO using sub-6 GHz out-of-band information

AU - Hofer, Markus

AU - Mussbah, Mariam

AU - Caban, Sebastian

AU - Schwarz, Stefan

AU - Zemen, Thomas

AU - Mecklenbräuker, Christoph F.

A2 - Pasic, Faruk

PY - 2024/5/1

Y1 - 2024/5/1

N2 - Future wireless multiple-input multiple-output (MIMO) communication systems will employ sub-6 GHz and millimeter wave (mmWave) frequency bands working cooper- atively. 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 es- timate mmWave MIMO channels using out-of-band information obtained from the sub-6 GHz 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.

AB - Future wireless multiple-input multiple-output (MIMO) communication systems will employ sub-6 GHz and millimeter wave (mmWave) frequency bands working cooper- atively. 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 es- timate mmWave MIMO channels using out-of-band information obtained from the sub-6 GHz 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.

KW - channel estimation

KW - mmWave

KW - sub-6 GHz

KW - 6G

KW - out-of-band information

KW - beamforming

U2 - 10.1109/SmartNets61466.2024.10577648

DO - 10.1109/SmartNets61466.2024.10577648

M3 - Conference Proceedings with Oral Presentation

SN - 979-8-3503-8533-5

BT - 2024 International Conference on Smart Applications, Communications and Networking, SmartNets 2024

T2 - 2024 International Conference on Smart Applications, Communications and Networking (SmartNets)

Y2 - 28 May 2024 through 30 May 2024

ER -

Channel estimation for mmWave MIMO using sub-6 GHz out-of-band information

Abstract

Conference

UN SDGs

Research Field

Keywords

Access to Document

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Cite this