Secrecy Rate Maximization for Reconfigurable Intelligent Surface Aided Millimeter Wave System With Low-Resolution DACs

In this letter, we investigate the secrecy rate of a reconfigurable intelligent surface (RIS)-aided millimeter-wave (mmWave) system with low-resolution digital-to-analog converters (LDACs). Compared to the RIS-aided systems in most existing works, we consider how to alleviate the hardware loss and i...

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Veröffentlicht in:IEEE communications letters Jg. 25; H. 7; S. 2166 - 2170
Hauptverfasser: Xiu, Yue, Zhao, Jun, Sun, Wei, Zhang, Zhongpei
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.07.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Algorithms
alternating optimization algorithm
Approximation
Array signal processing
Beamforming
Complexity theory
Digital to analog conversion
Digital to analog converters
Hardware
low-resolution digital-to-analog converter
Mathematical analysis
Maximization
Millimeter waves
millimeter-wave
Optimization
Quantization (signal)
Radio frequency
Reconfigurable intelligent surface
Reconfigurable intelligent surfaces
Security
ISSN:1089-7798, 1558-2558
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Abstract In this letter, we investigate the secrecy rate of a reconfigurable intelligent surface (RIS)-aided millimeter-wave (mmWave) system with low-resolution digital-to-analog converters (LDACs). Compared to the RIS-aided systems in most existing works, we consider how to alleviate the hardware loss and improve the secrecy rate by using RIS. In particular, we formulate a secrecy rate maximization problem with hardware constraints. To handle the problem, an alternating optimization (AO)-based algorithm is proposed. Specifically, we first use the successive convex approximation (SCA) method to obtain the transmit beamforming. Then, the element-wise block coordinate descent (BCD) method is used to obtain the RIS phase shifts. Numerical results demonstrate that the RIS can mitigate the hardware loss, and the proposed AO-based algorithm with low complexity outperformances the baselines.
AbstractList In this letter, we investigate the secrecy rate of a reconfigurable intelligent surface (RIS)-aided millimeter-wave (mmWave) system with low-resolution digital-to-analog converters (LDACs). Compared to the RIS-aided systems in most existing works, we consider how to alleviate the hardware loss and improve the secrecy rate by using RIS. In particular, we formulate a secrecy rate maximization problem with hardware constraints. To handle the problem, an alternating optimization (AO)-based algorithm is proposed. Specifically, we first use the successive convex approximation (SCA) method to obtain the transmit beamforming. Then, the element-wise block coordinate descent (BCD) method is used to obtain the RIS phase shifts. Numerical results demonstrate that the RIS can mitigate the hardware loss, and the proposed AO-based algorithm with low complexity outperformances the baselines.
Author Sun, Wei
Zhao, Jun
Xiu, Yue
Zhang, Zhongpei
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Snippet In this letter, we investigate the secrecy rate of a reconfigurable intelligent surface (RIS)-aided millimeter-wave (mmWave) system with low-resolution...
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SubjectTerms Algorithms
alternating optimization algorithm
Approximation
Array signal processing
Beamforming
Complexity theory
Digital to analog conversion
Digital to analog converters
Hardware
low-resolution digital-to-analog converter
Mathematical analysis
Maximization
Millimeter waves
millimeter-wave
Optimization
Quantization (signal)
Radio frequency
Reconfigurable intelligent surface
Reconfigurable intelligent surfaces
Security
Title Secrecy Rate Maximization for Reconfigurable Intelligent Surface Aided Millimeter Wave System With Low-Resolution DACs
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