Cascaded Channel Estimator for IRS-Aided mmWave Hybrid MIMO System
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F24%3A50021439" target="_blank" >RIV/62690094:18450/24:50021439 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/10330633" target="_blank" >https://ieeexplore.ieee.org/document/10330633</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/LWC.2023.3337289" target="_blank" >10.1109/LWC.2023.3337289</a>
Alternative languages
Result language
angličtina
Original language name
Cascaded Channel Estimator for IRS-Aided mmWave Hybrid MIMO System
Original language description
The synergistic integration of the intelligent reflecting surface (IRS) and millimeter wave (mmWave) multiple-input multiple-output (MIMO) system is a potential solution for future wireless communication systems, aiming to achieve exceptionally high data rates with enhanced coverage. However, estimation of the cascaded channel state information is essential for beamforming in mmWave MIMO systems with IRS. Unlike conventional MIMO systems, channel estimation for IRS-aided mmWave MIMO systems is challenging due to the limited signal processing capability of the IRS. In this letter, we propose an online sparse exponential forgetting window least mean square-based channel estimator for IRS-assisted mmWave hybrid MIMO systems. Furthermore, we compare accuracy of the proposed estimator with the existing sparse estimators such as orthogonal matching pursuit, sparse Bayesian learning, and oracle least square for benchmarking. Additionally, we perform an analysis of the spectral efficiency and computational complexity of the proposed algorithms. Simulations corroborate superior performance of the proposed method in terms of accuracy, complexity, and robustness.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20203 - Telecommunications
Result continuities
Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
IEEE Wireless Communications Letters
ISSN
2162-2337
e-ISSN
2162-2345
Volume of the periodical
13
Issue of the periodical within the volume
3
Country of publishing house
US - UNITED STATES
Number of pages
5
Pages from-to
622-626
UT code for WoS article
001184396700012
EID of the result in the Scopus database
2-s2.0-85179082193