Research Article
Adaptive Artificial Noise Transmission Against Randomly Distributed Eavesdroppers
@INPROCEEDINGS{10.4108/eai.15-8-2015.2261062, author={Tong-Xing Zheng and Hui-Ming Wang and Rui Huang and Pengcheng Mu}, title={Adaptive Artificial Noise Transmission Against Randomly Distributed Eavesdroppers}, proceedings={10th EAI International Conference on Communications and Networking in China}, publisher={IEEE}, proceedings_a={CHINACOM}, year={2015}, month={9}, keywords={physical layer security artificial noise stochastic geometry outage secrecy throughput multi-antenna optimization}, doi={10.4108/eai.15-8-2015.2261062} }- Tong-Xing Zheng
Hui-Ming Wang
Rui Huang
Pengcheng Mu
Year: 2015
Adaptive Artificial Noise Transmission Against Randomly Distributed Eavesdroppers
CHINACOM
IEEE
DOI: 10.4108/eai.15-8-2015.2261062
Abstract
In this paper, we investigate the design of the artificial-noise-aided multi-antenna transmission in slow fading channels coexisting with randomly located eavesdroppers. Our objective is to maximize the outage-constrained secrecy throughput under an on-off transmission strategy in which when to start information exchange depends on the main channel’s quality. To achieve our goal, we propose to adjust all the transmission parameters, including the wiretap code rates, the transmission threshold of the on-off strategy, and the power allocation between the confidential signal and artificial noise, adaptively according to the main channel’s instantaneous channel state information. We formulate the optimization issue and provide explicit solutions on these transmission parameters. We further demonstrate numerical results to verify our theoretical analysis and show some insights into the secure transmission design.
