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Spatial Modulation: An Attractive Secure Solution to Future Wireless Networks

delete2022-05-01
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PRE
AI
束锋 封面图
束锋 (Feng Shu) *
杨
杨丽丽 (Lili Yang)
刘
刘琳 (Lin Liu)
X
Xinyi Jiang
夏
夏桂阳 (Guiyang Xia)
毋媛媛 封面图
毋媛媛 (Yuanyuan Wu)
王咸鹏 封面图
王咸鹏 (Xianpeng Wang) *
J
Jiangzhou Wang
肖友 封面图
肖友 (Xiaohu You)
石
石瑾 (Shi Jin)
DOI:10.1109/MNET.012.2100008delete
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摘要

摘要

En 中文
As a green and secure wireless transmission method, secure spatial modulation is becoming a hot research area. Its basic idea is to exploit both the index of activated transmit antenna and amplitude phase modulation signal to carry messages, improve security, and save energy. In this article, we review its crucial challenges: transmit antenna selection, artificial noise projection, power allocation (PA), and joint detection at the desired receiver. We proposed a low-complexity maximum likelihood (ML) detector, which efficiently reduces the complexity of detection. Meanwhile, for the sake of improving further secrecy rate (SR) performance, a PA strategy is designed on the basis of a deep neural-network (DNN). Simulation results show that the proposed low-complexity ML detector achieves lower complexity but the same bit error rate performance, compared to the traditional ML method, while the proposed DNN method strikes a good balance between complexity and SR performance.
Keyword:
Wireless networks
Simulation
Transmitting antennas
Bit error rate
Detectors
Complexity theory
Smart transportation

期刊

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IEEE Network
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2.7K
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A
Anhui Agricultural University
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S
southeast university - china
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被引数: 57
U
University of Kent
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被引数: 8.1K
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Hainan University
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论文数: 1.2W
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引用论文

引用论文

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