.png){kind=icon}
返回
Data-Driven Relay Selection for Physical-Layer Security: A Decision Tree Approach
.png){kind=icon}
OA
AI
DOI：10.1109/ACCESS.2020.2965963.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Conventional optimization-driven secure relay selection relies on maximization algorithm and accurate channel state information (CSI) of both legitimate and eavesdropper channels. Particularly, estimating and collecting accurate eavesdropper CSI is a difficult task. In this paper, we exploit the benefits of machine learning in solving secure relay selection problem from a data-driven perspective. We convert secure relay selection to a multiclass-classification problem and solve it by a decision-tree-based scheme, which is composed of three phases - preparing training data, building decision tree and predicting relay selection. To meet decision tree's requirement that input features must take discrete values, a feature extraction method is proposed to generate discrete input by quantizing the accurate CSI of legitimate and eavesdropper channels. By this means, the decision-tree-based relay selection only requires quantized CSI feedback which takes substantially fewer bits in predicting phase. For the purpose of optimizing quantization parameters and enhancing decision tree prediction, we further derive three splitting criteria, i.e. information gain, information gain ratio and Gini index. Simulation results show that if the quantization parameters are set properly, the proposed decision-tree-based scheme can achieve satisfactory performance in terms of average secrecy rate while reducing computational complexity and feedback amount.
Keyword:
Physical-layer security
relay selection
machine learning
decision tree
splitting criterion
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3.6
论文数:
9.8W
被引数:
29.4W
机构
引用论文
.png){kind=icon}
分享收藏Physical-Layer Security in Full-Duplex Multi-Hop Multi-User Wireless Network With Relay Selection基于中继选择的全双工多跳多用户无线网络物理层安全
PREAI
分享收藏Review of the self-incompatibility in apple (Malus x domestica Borkh., syn.: Malus pumila Mill.)
OAAI
OAAI分享收藏A New Niche for
Vibrio logei
, the Predominant Light Organ Symbiont of Squids in the Genus
SepiolaOAAI
OAAI分享收藏Smart residential load management technique for distribution systems' performance enhancement and consumers' satisfaction achievement智能住宅负荷管理技术提高配电系统性能和消费者满意度OAAI
OAAI分享收藏
查看更多内容