Estimation of Cascaded Sparse Channel for IRS-Assisted Millimeter Wave 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%3A50021559" target="_blank" >RIV/62690094:18450/24:50021559 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/10445306" target="_blank" >https://ieeexplore.ieee.org/document/10445306</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/LCOMM.2024.3370257" target="_blank" >10.1109/LCOMM.2024.3370257</a>
Alternative languages
Result language
angličtina
Original language name
Estimation of Cascaded Sparse Channel for IRS-Assisted Millimeter Wave Hybrid MIMO System
Original language description
A promising strategy for next-generation wireless communication systems in pursuit of ultra-high information speed and extended coverage involves the synergistic integration of intelligent reflecting surfaces (IRS) with millimeter-wave multiple-input multiple-output (mmWave MIMO) systems. However, realizing the full potential of IRS-assisted mmWave MIMO systems necessitates precise channel state information (CSI). Existing CSI estimation methods for IRS-assisted mmWave hybrid (analog+digital) MIMO systems, such as orthogonal matching pursuit (OMP) and sparse Bayesian learning (SBL), require substantial number of pilots and exhibit high computational complexity due to their offline nature and requires matrix inversions. Consequently, these characteristics offer significant estimation delays and reduced spectral efficiency. To tackle these challenges, we propose an online variable step size zero attracting least mean square-based channel estimator to overcome the limitations of existing estimators. Moreover, we compare the accuracy of the proposed method with existing OMP, SBL, and oracle least squares (LSs) method, which is used for benchmarking purpose. Simulation results are presented to validate effectiveness of the suggested estimator in terms of accuracy, complexity, and pilot overhead requirements.
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 Communications Letters
ISSN
1089-7798
e-ISSN
1558-2558
Volume of the periodical
28
Issue of the periodical within the volume
5
Country of publishing house
US - UNITED STATES
Number of pages
5
Pages from-to
1146-1150
UT code for WoS article
001218818600032
EID of the result in the Scopus database
2-s2.0-85186975535