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Distributed Split Single-Sideband Time-Modulated Arrays for Secure Communications

delete2026-03-06
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PRE
AI
Y
Yue Ma
R
Ruiqian Ma
Z
Zhi Lin
C
Chen Miao
R
Ruoyu Zhang
W
Weijun Long
W
Wen Wu
J
Jiangzhou Wang
DOI:10.1109/JIOT.2026.3671480delete
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Abstract

Abstract

En 中文
In recent years, physical-layer security (PLS) techniques have been paid considerable attention due to their high-security level and strong compatibility. However, the request of the superior legitimate channel is the Achilles’ Heel of PLS. A significant challenge exists in ensuring information confidentiality when the eavesdropper is located at the user’s direction in the multiantenna system. To overcome this limitation, we propose a novel framework to achieve secure communication via a distributed split single-sideband (SSB) time-modulated array (TMA). By strategically dividing the I/Q paths of the transmitted signals into geographically separated subarrays, we establish the nonaliasing zone to achieve error-free communication for legitimate users (LU), while the eavesdropper positioned in the aliasing zone receives an irrecoverably disturbed waveform. To assess performance, we adopt the encoder–decoder-based deep neural network to optimize the time-switching sequence, ensuring the subarrays’ spatial radiation areas overlap exclusively at the LU. A specialized loss function is formulated to enhance the interference-to-signal ratio (ISR) by increasing the −1st to the +1st harmonic power ratio in non-LU regions. Furthermore, the joint optimization improves security by focusing energy on the LU while generating interference in non-LU areas. The bit error ratio (BER) is used as the metric, and the simulation results validate the effectiveness of the proposed method, ensuring reliable transmission and increasing Eve’s BER to approximately 0.5, thereby compromising her ability to intercept the communication.
Keywords:
Physical-layer security
secure communication
single-sideband
time-modulated array (TMA)

Journal

IEEE Internet of Things Journal cover
IEEE Internet of Things Journal
IF:
8.9
Papers:
1.4W
Citations:
7.8W

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national university of defense technology
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nanjing university of science and technology
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Southeast University
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Nanjing University of Information Science and Technology
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