Tripartite Matching Game Model in UAV-Assisted Covert Communication Network

被引：0

作者：

Xu, Yining ^{[1
]}

Tian, Wen ^{[1
]}

Cheng, Zhipeng ^{[1
,2
]}

Fang, Xiaoxing

Dong, Xueke ^{[1
]}

Wang, Zhihao ^{[1
]}

Chu, Wennan ^{[1
]}

机构：

[1] Nanjing Univ Informat Sci & Technol, Sch Elect & Informat Engn, Nanjing 210044, Peoples R China

[2] Soochow Univ, Sch Future Sci & Engn, Suzhou 215006, Peoples R China

来源：

IEEE COMMUNICATIONS LETTERS | 2024年 / 28卷 / 07期

基金：

中国国家自然科学基金; 国家重点研发计划;

关键词：

Game theory; covert communication; auction; device matching; Nash equilibrium;

D O I：

10.1109/LCOMM.2024.3378270

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

The simultaneous use of multiple devices for covert communication with the assistance of UAVs can easily lead to device matching errors, resulting in information leakage and resource wastage. To address this issue, we propose a tripartite matching game model in UAV-assisted covert communication network (T-UCN). The model incorporates the reverse VCG auction and second-price sealed auction algorithms while considering computational efficiency, Nash equilibrium, and Individual rationality. Finally, simulation verifies the effectiveness and robustness of the algorithms we propose in T-UCN.

引用

页码：1619 / 1623

页数：5

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