Signal to noise ratio;
Channel estimation;
Correlation;
Reconfigurable intelligent surfaces;
Vectors;
Wireless communication;
Reflection;
Rayleigh channels;
Training;
Discrete Fourier transforms;
Reconfigurable intelligent surface (RIS);
SNR analysis;
channel state information (CSI);
correlated Rayleigh channels;
CHANNEL ESTIMATION;
MASSIVE MIMO;
D O I:
10.1109/TWC.2024.3483904
中图分类号:
TM [电工技术];
TN [电子技术、通信技术];
学科分类号:
0808 ;
0809 ;
摘要:
In this paper, we derive an exact mean SNR expression for the optimal single user Reconfigurable Intelligent Surface (RIS) design in the presence of imperfect channel state information (CSI). It is assumed that the user (UE)-RIS and UE- base station (BS) channels experience correlated Rayleigh fading and the RIS-BS link is line of sight (LOS). We present simplified versions of the derived mean SNR expression for the correlation extremes (no correlation and full correlation) in the UE-RIS and UE-BS channels. The derived mean SNR expression is then leveraged to analytically characterise the impact of error variances from the channel estimation process on the mean SNR. We show that as the error variances increase, the mean SNR expression reduces to that of a system with randomly selected RIS phases. Consequently, the growth in mean SNR reduces from O(N-2) to O(N). Numerical results validate the analysis.
机构:
Southeast Univ, Natl Mobile Commun Res Lab NCRL, Nanjing 210096, Peoples R ChinaSoutheast Univ, Natl Mobile Commun Res Lab NCRL, Nanjing 210096, Peoples R China
Zhang, Wenhui
Xu, Jindan
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Southeast Univ, Natl Mobile Commun Res Lab NCRL, Nanjing 210096, Peoples R ChinaSoutheast Univ, Natl Mobile Commun Res Lab NCRL, Nanjing 210096, Peoples R China
Xu, Jindan
Xu, Wei
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机构:
Southeast Univ, Natl Mobile Commun Res Lab NCRL, Nanjing 210096, Peoples R China
Zhengzhou Univ, Henan Joint Int Res & Aboratory Intelligent Netwo, Zhengzhou 450001, Peoples R ChinaSoutheast Univ, Natl Mobile Commun Res Lab NCRL, Nanjing 210096, Peoples R China
Xu, Wei
You, Xiaohu
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机构:
Southeast Univ, Natl Mobile Commun Res Lab NCRL, Nanjing 210096, Peoples R ChinaSoutheast Univ, Natl Mobile Commun Res Lab NCRL, Nanjing 210096, Peoples R China
You, Xiaohu
Fu, Weijie
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机构:
Guangdong Commun & Networks Inst, Guangzhou 518131, Guangdong, Peoples R ChinaSoutheast Univ, Natl Mobile Commun Res Lab NCRL, Nanjing 210096, Peoples R China
机构:
Friedrich Alexander Univ Erlangen Nurnberg FAU, Inst Digital Commun, D-91054 Erlangen, GermanyFriedrich Alexander Univ Erlangen Nurnberg FAU, Inst Digital Commun, D-91054 Erlangen, Germany
Zhou, Gui
Pan, Cunhua
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机构:
Southeast Univ, Natl Mobile Commun Res Lab, Nanjing 210096, Peoples R ChinaFriedrich Alexander Univ Erlangen Nurnberg FAU, Inst Digital Commun, D-91054 Erlangen, Germany
Pan, Cunhua
Ren, Hong
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机构:
Southeast Univ, Natl Mobile Commun Res Lab, Nanjing 210096, Peoples R ChinaFriedrich Alexander Univ Erlangen Nurnberg FAU, Inst Digital Commun, D-91054 Erlangen, Germany
Ren, Hong
Xu, Dongfang
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机构:
Hong Kong Univ Sci & Technol HKUST, Dept Elect & Comp Engn, Hong Kong 999077, Peoples R ChinaFriedrich Alexander Univ Erlangen Nurnberg FAU, Inst Digital Commun, D-91054 Erlangen, Germany
Xu, Dongfang
Zhang, Zaichen
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机构:
Southeast Univ, Natl Mobile Commun Res Lab, Nanjing 210096, Peoples R ChinaFriedrich Alexander Univ Erlangen Nurnberg FAU, Inst Digital Commun, D-91054 Erlangen, Germany
Zhang, Zaichen
Wang, Jiangzhou
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机构:
Univ Kent, Sch Engn, Canterbury CT2 7NT, EnglandFriedrich Alexander Univ Erlangen Nurnberg FAU, Inst Digital Commun, D-91054 Erlangen, Germany
Wang, Jiangzhou
Schober, Robert
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机构:
Friedrich Alexander Univ Erlangen Nurnberg FAU, Inst Digital Commun, D-91054 Erlangen, GermanyFriedrich Alexander Univ Erlangen Nurnberg FAU, Inst Digital Commun, D-91054 Erlangen, Germany