[1]韩刚涛,刘瑞雪,闫 利,等.基于 QAM 的协作通信系统物理层认证技术[J].郑州大学学报(工学版),2024,45(01):64-69.[doi:10.13705/j.issn.1671-6833.2023.04.011]
　HAN Gangtao,LIU Ruixue,YAN Li,et al.QAM Based Physical Layer Authentication Technology for Cooperative Communication Systems[J].Journal of Zhengzhou University (Engineering Science),2024,45(01):64-69.[doi:10.13705/j.issn.1671-6833.2023.04.011]
点击复制

基于 QAM 的协作通信系统物理层认证技术()
分享到：

《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
45
期数:
2024年01期
页码:
64-69
栏目:
出版日期:
2024-01-19

文章信息/Info

Title:
QAM Based Physical Layer Authentication Technology for Cooperative Communication Systems
作者:
韩刚涛;  刘瑞雪;  闫 利;  王俊杰;  马雪粉
郑州大学 电气与信息工程学院,河南 郑州 450001
Author(s):
HAN Gangtao;  LIU Ruixue;  YAN Li;  WANG Junjie;  MA Xuefen
School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou 450001, China
关键词:
物理层认证;  协作通信;  标签叠加;  最大比合并;  QAM
Keywords:
physical layer authentication;  cooperative communication;  tag superposition;  maximal ratio combining;  QAM
DOI:
10.13705/j.issn.1671-6833.2023.04.011
文献标志码:
A
摘要:
针对两用户协作通信系统的身份认证问题,提出了一种基于正交幅度调制( QAM) 的协作物理层认证机 制。 在该机制中,两个单天线用户分别使用同相与正交分量传输自己及伙伴的消息和标签,从而实现两用户消息 和标签的唯一分解。 基站采用最大比合并检测用户消息和标签,并通过标签对比完成物理层身份认证。 在等功率 分配且用户上行信道对称的典型场景下,给出了消息和标签的误码率闭合表达式。 结果表明:在信噪比( SNR) 为 6 ~ 15 dB 时,所提机制的认证概率与非协作物理层认证相比提高了 12% ~ 20%,非法攻击认证概率仅保持在 10 - 3 量 级,所提认证机制具有更好的身份认证性能。
Abstract:
A quadrature amplitude modulation (QAM) based cooperative physical layer authentication mechanism was proposed for the identity authentication in two-user cooperative communication systems. In the proposed mechanism, two single-antenna users transmitted their own messages and tags as well as those of the partner with the inphase component and orthogonal component, respectively. Thus, the messages and tags of two users could be uniquely decomposed. Maximal ratio combining was employed at the base station to detect the messages and tags, and physical layer identity authentication was performed through tag comparison. In a typical scenario with equal power distribution and symmetric user uplink channels, the closed expressions of symbol error rates of message and tag were derived. The simulation results showed that the authentication probability of the proposed mechanism was improved by 12% - 20% compared with the non-cooperative physical layer authentication when the signal-to-noise ratio ( SNR) was 6-15 dB. Meanwhile, the authentication probability of illegal attack remained only around 10 - 3 . Consequently, the proposed mechanism had better authentication performance

参考文献/References:

[1] LI G X, MISHRA D, HU Y L, et al. Adaptive relay selection strategies for cooperative NOMA networks with user and relay cooperation[J]. IEEE Transactions on Vehicular Technology, 2020, 69(10)： 11728-11742.

[2] 黄万伟, 袁博, 王苏南, 等. 基于非零和信号博弈的主动防御模型[J]. 郑州大学学报(工学版), 2022, 43(1)： 90-96.HUANG W W, YUAN B, WANG S N, et al. Proactive defense model based on non-zero-sum signal game[J]. Journal of Zhengzhou University (Engineering Science), 2022, 43(1)： 90-96.
[3] XIE N, LI Z Y, TAN H J. A survey of physical-layer authentication in wireless communications[J]. IEEE Communications Surveys &Tutorials, 2021, 23(1)： 282-310.
[4] FANG H, WANG X B, HANZO L. Learning-aided phy-sical layer authentication as an intelligent process[J]. IEEE Transactions on Communications, 2018, 67(3)： 2260-2273.
[5] ZHANG N, FANG X J, WANG Y, et al. Physical-layer authentication for Internet of Things via WFRFT-based Gaussian tag embedding[J]. IEEE Internet of Things Journal, 2020, 7(9)： 9001-9010.
[6] 李兆斌, 崔钊, 魏占祯, 等. 基于物理层信道特征的无线网络认证机制[J]. 计算机科学, 2020, 47(12)： 267-272.LI Z B, CUI Z, WEI Z Z, et al. Wireless network authentication method based on physical layer channel cha-racteristics[J]. Computer Science, 2020, 47(12)： 267-272.
[7] XIE N, CHEN C S, MING Z. Security model of authentication at the physical layer and performance analysis over fading channels[J]. IEEE Transactions on Dependable and Secure Computing, 2021, 18(1)： 253-268.
[8] 吴聪, 杨炜伟. 基于嵌入水印的物理层认证及优化[J]. 通信技术, 2020, 53(9)： 2233-2240.WU C, YANG W W. Physical layer authentication and optimization based on embedded watermark[J]. Communications Technology, 2020, 53(9)： 2233-2240.
[9] 吴小燕, 刘强, 朱成璋. 社交网络中协同舆论欺诈检测方法应用研究[J]. 郑州大学学报(工学版), 2022, 43(2)： 7-14.WU X Y, LIU Q, ZHU C Z. Research on application of collaborative public opinion fraud detection method in social network[J]. Journal of Zhengzhou University (Engineering Science), 2022, 43(2)： 7-14.
[10] 李靖, 葛建华, 王勇, 等. 一种资源利用率高的协作无线系统[J]. 西安电子科技大学学报, 2009, 36(1)： 28-32, 51.LI J, GE J H, WANG Y, et al. Resource efficient coo-perative wireless system[J]. Journal of Xidian University, 2009, 36(1)： 28-32, 51.
[11] GU Z F, CHEN H, XU P P, et al. Physical layer authentication for non-coherent massive SIMO-enabled industrial IoT communications[J]. IEEE Transactions on Information Forensics and Security, 2020, 15： 3722-3733.

更新日期/Last Update: 2024-01-24