Estimation of Cascaded Sparse Channel for IRS-Assisted Millimeter Wave Hybrid MIMO System
Identifikátory výsledku
Kód výsledku v 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>
Výsledek na webu
<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>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Estimation of Cascaded Sparse Channel for IRS-Assisted Millimeter Wave Hybrid MIMO System
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
Estimation of Cascaded Sparse Channel for IRS-Assisted Millimeter Wave Hybrid MIMO System
Popis výsledku anglicky
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.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
20203 - Telecommunications
Návaznosti výsledku
Projekt
—
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2024
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
IEEE Communications Letters
ISSN
1089-7798
e-ISSN
1558-2558
Svazek periodika
28
Číslo periodika v rámci svazku
5
Stát vydavatele periodika
US - Spojené státy americké
Počet stran výsledku
5
Strana od-do
1146-1150
Kód UT WoS článku
001218818600032
EID výsledku v databázi Scopus
2-s2.0-85186975535