The massive data transmission in vehicular networks has given rise to the demand for high-capacity communication and information security. In this paper, we combine the millimeter wave (mmWave) communication and non-orthogonal multiple access (NOMA) technology to escalate the communication capacity of multiple vehicle users (VUs), and design artificial noise (AN)-based secure transmission schemes for this new NOMA-mmWave communication architecture. The AN beamforming matrix is derived from the mmWave discrete angular channel model to fully exploit the characteristics of mmWave propagation and facilitate the analysis. Then we comprehensively analyze the specific distribution of roadways and the distance distribution of VUs under the NOMA strategy, and derive the analytical expressions for the performance metrics. Numerical results demonstrate that the proposed scheme can effectively improve the secrecy performance of the NOMA-mm Wave vehicular communications.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Secure NOMA-Assisted Multi-User mmWave Vehicular Communications Using Artificial Noise


    Contributors:
    Yan, Yiting (author) / Ju, Ying (author) / Tian, Suheng (author) / Liu, Lei (author) / Feng, Jie (author) / Du, Jianbo (author) / Pei, Qingqi (author) / Wu, Celimuge (author)


    Publication date :

    2024-06-24


    Size :

    445812 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    mmWave massive MIMO vehicular communications

    Cheng, Xiang / Gao, Shijian / Yang, Liuqing | TIBKAT | 2023



    Artificial Jamming Assisted Secure Transmission for MISO-NOMA Networks

    Wang, Wei / Zhao, Nan / Chen, Yunfei et al. | IEEE | 2019


    Light-weight Machine Learning for mmWave Vehicular Communications

    Wang, Yitu / Nakachi, Takayuki | IEEE | 2020