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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Bibliographic Details
Published in:IEEE communications letters Vol. 25; no. 7; pp. 2166 - 2170
Main Authors: Xiu, Yue, Zhao, Jun, Sun, Wei, Zhang, Zhongpei
Format: Journal Article
Language:English
Published: New York IEEE 01.07.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
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
Online Access:Get full text
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Summary: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.
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ISSN:1089-7798
1558-2558
DOI:10.1109/LCOMM.2021.3057379