Covert Communication in Underlay Multi-Antenna Cognitive Radio Networks

IF 7 1区 计算机科学 Q1 TELECOMMUNICATIONS IEEE Transactions on Cognitive Communications and Networking Pub Date : 2024-10-07 DOI:10.1109/TCCN.2024.3475369
Hongbin Fan;Weiwei Yang;Hui Shi;Gaofeng Pan;Jiangbo Si;Yutao Wang;Chuanzhen Rong
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Abstract

In this paper, we investigated a multi-antenna covert communication in underlay cognitive radio networks (UCRNs), by considering both cases that Willie has the perfect and statistical channel state information (CSI) of the link from the secondary transmitter (ST) to the primary receiver (PR), respectively. Specifically, the optimal antenna of the secondary receiver (SR) is selected to receive the private information from ST, and then one of the remaining antennas is randomly selected to transmit jamming signals. The closed-form expressions of Willie’s detection error probability, the average minimum detection error probability, the transmission outage probability and the maximum effective covert rate under both cases are derived. The maximum effective covert rate is obtained by optimising the maximum jamming power of SR. The numerical results show that the combined effect of the maximum interference tolerance of PR and the maximum interference power of SR provides the positive effective covert rate between ST and SR. It is further found that the maximum effective covert rate between ST and SR when Willie knows the perfect CSI of the ST-SR link is greater than that when Willie only knows the statistical CSI of the ST-SR link.
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底层多天线认知无线电网络中的隐蔽通信
在本文中,我们研究了基于认知无线网络(UCRNs)的多天线隐蔽通信,在此基础上,考虑了威利分别拥有从二级发射机(ST)到主接收机(PR)链路的完美信道状态信息(CSI)和统计信道状态信息(CSI)。具体来说,先选择副接收机(SR)的最优天线接收ST的私有信息,然后在剩余天线中随机选择一个天线发射干扰信号。导出了两种情况下的威利检测误差概率、平均最小检测误差概率、传输中断概率和最大有效隐蔽率的封闭表达式。最大有效秘密率是通过优化老的最大干扰功率的数值结果表明,该综合效应的最大干扰宽容公关和SR的最大干扰功率之间提供积极有效的隐性利率ST和老进一步发现圣之间的最大有效隐蔽的速率和SR当威利知道ST-SR链接的完美CSI大于,当威利只知道ST-SR的统计CSI链接。
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来源期刊
IEEE Transactions on Cognitive Communications and Networking
IEEE Transactions on Cognitive Communications and Networking Computer Science-Artificial Intelligence
CiteScore
15.50
自引率
7.00%
发文量
108
期刊介绍: The IEEE Transactions on Cognitive Communications and Networking (TCCN) aims to publish high-quality manuscripts that push the boundaries of cognitive communications and networking research. Cognitive, in this context, refers to the application of perception, learning, reasoning, memory, and adaptive approaches in communication system design. The transactions welcome submissions that explore various aspects of cognitive communications and networks, focusing on innovative and holistic approaches to complex system design. Key topics covered include architecture, protocols, cross-layer design, and cognition cycle design for cognitive networks. Additionally, research on machine learning, artificial intelligence, end-to-end and distributed intelligence, software-defined networking, cognitive radios, spectrum sharing, and security and privacy issues in cognitive networks are of interest. The publication also encourages papers addressing novel services and applications enabled by these cognitive concepts.
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