SNR Coverage Probability Analysis of RIS-Aided Communication Systems

The reconfigurable intelligent surface (RIS) technique has received many interests, thanks to its advantages of low cost, easy deployment, and high controllability. It is acknowledged that the RIS can significantly improve the quality of signal transmission, especially in the line-of-sight-blocked s...

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Published inIEEE transactions on vehicular technology Vol. 70; no. 4; pp. 3914 - 3919
Main Authors Cui, Zhuangzhuang, Guan, Ke, Zhang, Jiayi, Zhong, Zhangdui
Format Journal Article
LanguageEnglish
Published New York IEEE 01.04.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Approximation
Channel models
Communication systems
Communications systems
Controllability
Coverage probability
Fading
fading channel
Gamma distribution
Gamma function
Incidence angle
Performance analysis
Performance evaluation
Rayleigh channels
rayleigh fading
reconfigurable intelligent surface
Rician channels
Signal quality
Signal to noise ratio
Signal transmission
Online AccessGet full text
ISSN0018-9545
1939-9359
DOI10.1109/TVT.2021.3063408

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Abstract The reconfigurable intelligent surface (RIS) technique has received many interests, thanks to its advantages of low cost, easy deployment, and high controllability. It is acknowledged that the RIS can significantly improve the quality of signal transmission, especially in the line-of-sight-blocked scenarios. Therefore, it is critical to analyze the corresponding signal-to-noise ratio (SNR) coverage probability of RIS-aided communication systems. In this correspondence, we consider many practical issues to analyze the SNR coverage probability. We employ the realistic path loss model and Rayleigh fading model as large-scale and small-scale channel models, respectively. Meanwhile, we take the number and size of the RIS elements, as well as the placement of the RIS plane into considerations. We first derive the exact closed-form SNR coverage probability for a single element. Afterward, with the moment matching method, a highly accurate approximation of SNR coverage probability is formulated as the ratio of the upper incomplete Gamma function and Gamma function, allowing an arbitrary number of elements in the RIS. Finally, we comprehensively evaluate the impacts of essential factors on the SNR coverage probability, such as the number and size of the element, the coefficients of fading channel, and the angles of incidence and RIS plane. Overall, this work provides a succinct and general expression of SNR coverage probability, which can be helpful in the performance evaluation and practical implementation of the RIS.
AbstractList The reconfigurable intelligent surface (RIS) technique has received many interests, thanks to its advantages of low cost, easy deployment, and high controllability. It is acknowledged that the RIS can significantly improve the quality of signal transmission, especially in the line-of-sight-blocked scenarios. Therefore, it is critical to analyze the corresponding signal-to-noise ratio (SNR) coverage probability of RIS-aided communication systems. In this correspondence, we consider many practical issues to analyze the SNR coverage probability. We employ the realistic path loss model and Rayleigh fading model as large-scale and small-scale channel models, respectively. Meanwhile, we take the number and size of the RIS elements, as well as the placement of the RIS plane into considerations. We first derive the exact closed-form SNR coverage probability for a single element. Afterward, with the moment matching method, a highly accurate approximation of SNR coverage probability is formulated as the ratio of the upper incomplete Gamma function and Gamma function, allowing an arbitrary number of elements in the RIS. Finally, we comprehensively evaluate the impacts of essential factors on the SNR coverage probability, such as the number and size of the element, the coefficients of fading channel, and the angles of incidence and RIS plane. Overall, this work provides a succinct and general expression of SNR coverage probability, which can be helpful in the performance evaluation and practical implementation of the RIS.
Author Zhang, Jiayi
Cui, Zhuangzhuang
Zhong, Zhangdui
Guan, Ke
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Snippet The reconfigurable intelligent surface (RIS) technique has received many interests, thanks to its advantages of low cost, easy deployment, and high...
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SubjectTerms Approximation
Channel models
Communication systems
Communications systems
Controllability
Coverage probability
Fading
fading channel
Gamma distribution
Gamma function
Incidence angle
Performance analysis
Performance evaluation
Rayleigh channels
rayleigh fading
reconfigurable intelligent surface
Rician channels
Signal quality
Signal to noise ratio
Signal transmission
Title SNR Coverage Probability Analysis of RIS-Aided Communication Systems
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