Proactive Eavesdropping in Massive MIMO-OFDM Systems via Deep Reinforcement Learning-Reference-Cited by-同舟云学术

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Proactive Eavesdropping in Massive MIMO-OFDM Systems via Deep Reinforcement Learning

Published:2022-11 Issue:11 Volume:71 Page:12315-12320
ISSN:0018-9545
Container-title:IEEE Transactions on Vehicular Technology
language:
Short-container-title:IEEE Trans. Veh. Technol.

Author:

Chen Jiale¹^ORCID,Tang Lan¹^ORCID,Guo Delin¹^ORCID,Bai Yechao¹^ORCID,Yang Lvxi²^ORCID,Liang Ying-Chang³^ORCID

Affiliation:

1. School of Electronic Science and Engineering, Nanjing University, Nanjing, China

2. School of information science and engineering, Southeast University, Nanjing, China

3. Center for Intelligent Networking and Communication (CINC), University of Electronic Science and Technology of China, Chengdu, China

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Aerospace Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/25/9950228/09829333.pdf?arnumber=9829333

Reference11 articles.

1. Proactive Monitoring Via Jamming for Rate Maximization Over MIMO Rayleigh Fading Channels

2. Proactive Eavesdropping via Cognitive Jamming in Fading Channels

3. Multi-agent actor-critic for mixed cooperative-competitive environments;lowe;Proc Advances Neural Inf Process Syst,0

4. On Robustness of Massive MIMO Systems against Passive Eavesdropping under Antenna Selection

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep Learning-Based Hybrid Precoding Approach in the Massive Multiple-Input Multiple-Output System;IETE Journal of Research;2024-07-07

2. Maxmin Fairness for UAV-Enabled Proactive Eavesdropping With Jamming Over Distributed Transmit Beamforming-Based Suspicious Communications;IEEE Transactions on Communications;2023-03

3. Joint Optimization of Trajectory and Jamming Power for Multiple UAV-aided Proactive Eavesdropping;IEEE Transactions on Mobile Computing;2023

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