Ultraviolet Communications for Unmanned Aerial Vehicle Networks

被引:16
|
作者
Tadayyoni, Hamed [1 ]
Ardakani, Maryam Haghighi [2 ]
Heidarpour, Ali Reza [2 ]
Uysal, Murat [1 ]
机构
[1] Ozyegin Univ, Dept Elect & Elect Engn, TR-34794 Istanbul, Turkey
[2] Univ Alberta, Dept Elect & Comp Engn, Edmonton, AB T6G 1H9, Canada
关键词
Interference; Unmanned aerial vehicles; Bit error rate; Scattering; Signal to noise ratio; Nonlinear optics; Uplink; Optical wireless communications; ultraviolet communications; NLOS communication; unmanned aerial vehicles; bit error rate performance; interference; CONNECTIVITY; PERFORMANCE; SCHEME; MODEL;
D O I
10.1109/LWC.2021.3123568
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Due to the strong scattering, ultraviolet (UV) communication links enable non-line-of-sight (NLOS) outdoor connectivity and relax the pointing, acquisition, and tracking requirements encountered in infrared links. This feature makes the UV communications attractive, in particular, for unmanned aerial vehicle (UAV) networks where link alignment is hard to realize. In this letter, we study the performance of the uplink of a ground sensor network where a UAV periodically visits the area to receive the data from serial sensor nodes. The transmission from the closest sensor to the flying UAV is the desired signal while the received signals from other nodes are treated as interference. We derive the bit error rate for the uplink airborne UV in the presence of interference. Numerical results are provided to validate our theoretical analysis and investigate the effect of interferers on the system performance.
引用
收藏
页码:178 / 182
页数:5
相关论文
共 50 条
  • [31] A survey on unmanned aerial and aquatic vehicle multi-hop networks: Wireless communications, evaluation tools and applications
    Sanchez-Garcia, J.
    Garcia-Campo, J. M.
    Arzamendia, M.
    Reina, D. G.
    Toral, S. L.
    Gregor, D.
    COMPUTER COMMUNICATIONS, 2018, 119 : 43 - 65
  • [32] Trust Connectivity Analysis in Overlaid Unmanned Aerial Vehicle Networks
    Yuan, Xin
    Wei, Zhiqing
    Feng, Zhiyong
    Xu, Wenjun
    2017 17TH INTERNATIONAL SYMPOSIUM ON COMMUNICATIONS AND INFORMATION TECHNOLOGIES (ISCIT), 2017,
  • [33] A Tunable Caching Distribution Model for Unmanned Aerial Vehicle Networks
    Tang, Wenfei
    Zhang, Hongtao
    IEEE INTERNET OF THINGS JOURNAL, 2022, 9 (11) : 8646 - 8656
  • [34] Performance Evaluation of Unmanned Aerial Vehicle Ad hoc Networks
    Grodi, Robin
    Rawat, Danda B.
    Bajracharya, Chandra
    IEEE SOUTHEASTCON 2015, 2015,
  • [35] Lightweight Trustworthy Message Exchange in Unmanned Aerial Vehicle Networks
    Liu, Zhiquan
    Guo, Jingjing
    Huang, Feiran
    Cai, Donghong
    Wu, Yongdong
    Chen, Xin
    Igorevich, Kostromitin Konstantin
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2023, 24 (02) : 2144 - 2157
  • [36] Wireless Powered Coniniunication Networks Aided by an Unmanned Aerial Vehicle
    Park, Junhee
    Lee, Hoon
    Eom, Subin
    Lee, Inkyu
    2018 IEEE 88TH VEHICULAR TECHNOLOGY CONFERENCE (VTC-FALL), 2018,
  • [37] Polar Codes for Cooperative Unmanned Aerial Vehicle Communication Networks
    Yuan, Chao
    Wu, Chang
    2017 17TH IEEE INTERNATIONAL CONFERENCE ON COMMUNICATION TECHNOLOGY (ICCT 2017), 2017, : 1186 - 1191
  • [38] Enhancing Connectivity for Communication and Control in Unmanned Aerial Vehicle Networks
    Rawat, Danda B.
    Grodi, Robin
    Bajracharya, Chandra
    2015 IEEE RADIO AND WIRELESS SYMPOSIUM (RWS), 2015, : 200 - 202
  • [39] Joint Neighbor Discovery and Positioning for Unmanned Aerial Vehicle Networks
    Wu, Qi
    Wei, Zhiqing
    Pan, Chengkang
    Liu, Jianjun
    Wang, Jinyu
    Wang, Ailing
    2021 IEEE 94TH VEHICULAR TECHNOLOGY CONFERENCE (VTC2021-FALL), 2021,
  • [40] Multi-Beam Scheduling for Unmanned Aerial Vehicle Networks
    Chalise, Batu K.
    Zhang, Yimin D.
    Amin, Moeness G.
    2013 IEEE/CIC INTERNATIONAL CONFERENCE ON COMMUNICATIONS IN CHINA (ICCC), 2013, : 442 - 447