Machine Learning and Intelligent Communications. Second International Conference, MLICOM 2017, Weihai, China, August 5-6, 2017, Proceedings, Part II

Research Article

Research on Millimeter Wave Communication Interference Suppression of UAV Based on Beam Optimization

Download
159 downloads
  • @INPROCEEDINGS{10.1007/978-3-319-73447-7_51,
        author={Weizhi Zhong and Lei Xu and Xiaoyi Lu and Lei Wang},
        title={Research on Millimeter Wave Communication Interference Suppression of UAV Based on Beam Optimization},
        proceedings={Machine Learning and Intelligent Communications. Second International Conference, MLICOM 2017, Weihai, China, August 5-6, 2017, Proceedings, Part II},
        proceedings_a={MLICOM},
        year={2018},
        month={2},
        keywords={UAV Millimeter wave Beamforming Anti-interference},
        doi={10.1007/978-3-319-73447-7_51}
    }
    
  • Weizhi Zhong
    Lei Xu
    Xiaoyi Lu
    Lei Wang
    Year: 2018
    Research on Millimeter Wave Communication Interference Suppression of UAV Based on Beam Optimization
    MLICOM
    Springer
    DOI: 10.1007/978-3-319-73447-7_51
Weizhi Zhong1,*, Lei Xu1, Xiaoyi Lu1, Lei Wang1
  • 1: Nanjing University of Aeronautics and Astronautics
*Contact email: zhongwz@nuaa.edu.cn

Abstract

To support high data rate urgent, millimeter-wave (mmWave) UAV is considered and the beam forming technology which can further improve the mmWave communication performance is adopted. In the scene of mmWave communications for UAV group, the interference signal from other UAV and the reflected signal from the airframe can cause the communication quality to decrease. Therefore, it is very important to study the beam anti-interference performance based on the beam optimization. In this paper, a spatial interference channel model is established for UAV groups, and the expression of signal to interference plus noise ratio (SINR) depended on codebook design and direction of arrival (DOA) is obtained. Based on this, the performance of the beam interference suppression based on codebook optimization is simulated and the results show that the proposed optimization method can effectively suppress the interference and improve the system performance.