Intelligent Covert Communication Design for Cooperative Cognitive Radio Network

被引:6
|
作者
Li, Zan [1 ]
Shi, Jia [1 ]
Wang, Chao [1 ]
Wang, Danyang [1 ]
Li, Xiaomeng [1 ]
Liao, Xiaomin [2 ]
机构
[1] Xidian Univ, Natl Key Lab Space Air Ground Integrated Serv Net, Xian 710071, Peoples R China
[2] Natl Univ Def Technol, Sch Informat & Commun, Wuhan 430035, Peoples R China
基金
中国国家自然科学基金; 国家重点研发计划;
关键词
cognitive radio networks; covert transmission; machine learning; PHYSICAL-LAYER SECURITY; INTERNET; MODEL;
D O I
10.23919/JCC.fa.2022-0514.202307
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
Extensive research attentions have been devoted to studying cooperative cognitive radio networks (CCRNs), where secondary users (SU) providing cooperative transmissions can be permitted by primary users (PU) to use spectrum. In order to maximize SU's utility, SU may transmit its own information during the period of cooperative transmission, which stimulates the use of covert transmission against PU's monitoring. For this sake, this article reviews the motivations of studying covert communications in CCRN. In particular, three intelligent covert transmission approaches are developed for maximizing SU's utility in CCRNs, namely, intelligent parasitic covert transmission (IPCT), intelligent jammer aided covert transmission (IJCT) and intelligent reflecting surface assisted covert transmission (IRSC). Further, some raw performance evaluations are discussed, and a range of potential research directions are also provided.
引用
收藏
页码:122 / 136
页数:15
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