{"title":"Covert Communications for Text Semantic With Finite Blocklength","authors":"Jinsong Hu;Longjie Ye;Youjia Chen;Xuefei Zhang;Jun Wang;Zhizhang Chen","doi":"10.1109/LWC.2024.3448614","DOIUrl":null,"url":null,"abstract":"Semantic communication, by the extraction of essential semantic information from source data, reduces data volume and enhances transmission efficiency, making it increasingly popular among candidate technologies in 6G. In this letter, a covert transmission scheme for text semantic communications is proposed, where a transmitter attempts to send text semantic information to a legitimate receiver under the surveillance of a warden, while the receiver emits artificial noise (AN) to interfere the warden. To maximize semantic spectral efficiency, we formulate an optimization problem while considering constraints on covertness, the minimum semantic similarity, and the number of semantic symbols mapped per word K. We derive the closed-form expressions for the optimal transmit power and AN power when K is fixed, and employ a one-dimension searching method to find the optimal \n<inline-formula> <tex-math>$K^{*}$ </tex-math></inline-formula>\n. Numerical results demonstrate that fixed AN power can contribute to covert transmission and in the semantic model, \n<inline-formula> <tex-math>$K^{*}$ </tex-math></inline-formula>\n is the minimum allowable K.","PeriodicalId":13343,"journal":{"name":"IEEE Wireless Communications Letters","volume":"13 10","pages":"2842-2846"},"PeriodicalIF":5.5000,"publicationDate":"2024-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Wireless Communications Letters","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10644087/","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
Semantic communication, by the extraction of essential semantic information from source data, reduces data volume and enhances transmission efficiency, making it increasingly popular among candidate technologies in 6G. In this letter, a covert transmission scheme for text semantic communications is proposed, where a transmitter attempts to send text semantic information to a legitimate receiver under the surveillance of a warden, while the receiver emits artificial noise (AN) to interfere the warden. To maximize semantic spectral efficiency, we formulate an optimization problem while considering constraints on covertness, the minimum semantic similarity, and the number of semantic symbols mapped per word K. We derive the closed-form expressions for the optimal transmit power and AN power when K is fixed, and employ a one-dimension searching method to find the optimal
$K^{*}$
. Numerical results demonstrate that fixed AN power can contribute to covert transmission and in the semantic model,
$K^{*}$
is the minimum allowable K.
语义通信通过从源数据中提取必要的语义信息,减少了数据量并提高了传输效率,因此在 6G 候选技术中越来越受欢迎。在这封信中,我们提出了一种文本语义通信的隐蔽传输方案,即发送方试图在典狱长的监视下向合法接收方发送文本语义信息,而接收方则发射人工噪音(AN)干扰典狱长。为了最大限度地提高语义频谱效率,我们提出了一个优化问题,同时考虑了隐蔽性、最小语义相似度和每个单词映射的语义符号数 K 等约束条件。我们推导出了 K 固定时的最佳发射功率和人工噪音功率的闭式表达式,并采用一维搜索方法找到了最佳的 $K^{*}$ 。数值结果表明,固定 AN 功率有助于隐蔽传输,而且在语义模型中,$K^{*}$ 是允许的最小 K。
期刊介绍:
IEEE Wireless Communications Letters publishes short papers in a rapid publication cycle on advances in the state-of-the-art of wireless communications. Both theoretical contributions (including new techniques, concepts, and analyses) and practical contributions (including system experiments and prototypes, and new applications) are encouraged. This journal focuses on the physical layer and the link layer of wireless communication systems.