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DRL-enabled secure uplink transmission for MIMO-OFDM IoT systems against intelligent eavesdroppers

Yingzhen Wu Yan Huo Xin Fan Qinghe Gao Jian Mao Tao Jing

数字通信与网络（英文）2026，Vol.12Issue(3)：428-440,13.

数字通信与网络（英文）2026，Vol.12Issue(3)：428-440,13.DOI:10.1016/j.dcan.2025.08.004

DRL-enabled secure uplink transmission for MIMO-OFDM IoT systems against intelligent eavesdroppers

Yingzhen Wu ¹Yan Huo ¹Xin Fan ²Qinghe Gao ¹Jian Mao ³Tao Jing¹

作者信息

1. School of Electronics and Information Engineering,Beijing Jiaotong University,Beijing 100044,China
2. School of Information Science and Technology,Beijing Forestry University,Beijing 100083,China
3. School of Cyber Science and Technology,Beihang University,Beijing 100191,China||Hangzhou Innovation Institute,Beihang University,Hangzhou 310000,China||Tianmushan Laboratory,Beihang University,Hangzhou 311121,China||Zhongguancun Laboratory,Beijing 100094,China
折叠

摘要

关键词

Physical layer security/IoT/Intelligent eavesdroppers/Time-domain artificial noise/Convex optimization/Deep reinforcement learning

Key words

Physical layer security/IoT/Intelligent eavesdroppers/Time-domain artificial noise/Convex optimization/Deep reinforcement learning

引用本文复制引用

Yingzhen Wu,Yan Huo,Xin Fan,Qinghe Gao,Jian Mao,Tao Jing..DRL-enabled secure uplink transmission for MIMO-OFDM IoT systems against intelligent eavesdroppers[J].数字通信与网络（英文）,2026,12(3):428-440,13.

基金项目

This work was supported in part by the Fundamental Research Funds for the Central Universities under Grant 2019JBZ001,in part by the National Natural Science Foundation of China under Grant U24B20117,Grant 62172027,Grant 62202035,and Grant U2368202,in part by the China Postdoctoral Science Foundation under Grant 2024M750199,and in part by the Natural Science Foundation of Zhejiang Province of China under Grant LZ23F020013. （）

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