Outage Analysis for Millimeter-Wave Fronthaul Link of UAV-Aided Wireless Networks

被引:23
|
作者
Fontanesi, Gianluca [1 ]
Zhu, Anding [1 ]
Ahmadi, Named [1 ,2 ]
机构
[1] Univ Coll Dublin, Sch Elect & Elect Engn, Dublin D04 V1W8 4, Ireland
[2] Univ York, Dept Elect Engn, York YO10 5DD, N Yorkshire, England
基金
爱尔兰科学基金会;
关键词
Power system reliability; Probability; Unmanned aerial vehicles; Mathematical model; Wireless networks; Antennas; Channel models; Unmanned aerial vehicle; fronthaul; mmWave; sub-6; GHz; outage; CELLULAR NETWORKS; ALTITUDE;
D O I
10.1109/ACCESS.2020.3001342
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Unmanned Aerial Vehicle (UAV)-wireless networks represent a promising solution to expand the reach of mobile connectivity beyond current boundaries. When Distributed Units (DUs) are deployed on the UAV, the high rate requirement on the wireless Fronthaul (FH) link between the UAV-DU and the terrestrial network poses a major challenge. To address the capacity demand of the FH network, we investigate the outage probability at millimeter Wave (mmWave) and sub-6 GHz frequency for different blockage environments and UAV heights. Utilizing a stochastic geometry framework, we first derive analytical approximate expressions for the outage probability of the FH link and we observe generally a good agreement with the simulation results for different UAV heights. In addition, numerical results for different urban densities show that the FH outage probability is minimized choosing an optimal UAV-DU altitude. We further analyze the impact of the antenna gain for two candidate mmWave frequencies on the FH link. High mmWave bands need sharp directional beamforming and large transmit bandwidth to outperform low mmWave bands in term of rate outage. Finally, our results show the impact on the outage probability of the FH overhead, that scales with the number of antenna elements, for different protocol splits.
引用
收藏
页码:111693 / 111706
页数:14
相关论文
共 50 条
  • [1] Optimization of UAV-Aided Millimeter-Wave IoT Systems
    Zuo, Xingxuan
    Shen, Lingfeng
    Han, Gangtao
    Mu, Xiaomin
    ELECTRONICS, 2021, 10 (21)
  • [2] Modeling and Performance Analysis of UAV-Aided Millimeter Wave Cellular Networks with Stochastic Geometry
    Li, Junruo
    Wang, Yuanjie
    Cui, Qimei
    Hou, Yanzhao
    Tao, Xiaofeng
    CHINA COMMUNICATIONS, 2023, 21 (06) : 146 - 162
  • [3] Routing Protocols for UAV-Aided Wireless Sensor Networks
    Arafat, Muhammad Yeasir
    Habib, Md Arafat
    Moh, Sangman
    APPLIED SCIENCES-BASEL, 2020, 10 (12):
  • [4] Secrecy Outage Probability of UAV-Aided Selective Relaying Networks
    Liu, Hongwu
    Kwak, Kyung Sup
    2017 NINTH INTERNATIONAL CONFERENCE ON UBIQUITOUS AND FUTURE NETWORKS (ICUFN 2017), 2017, : 24 - 29
  • [5] A Millimeter-Wave Digital Link for Wireless MRI
    Aggarwal, Kamal
    Joshi, Kiran R.
    Rajavi, Yashar
    Taghivand, Mazhareddin
    Pauly, John M.
    Poon, Ada S. Y.
    Scott, Greig
    IEEE TRANSACTIONS ON MEDICAL IMAGING, 2017, 36 (02) : 574 - 583
  • [6] A Data-Rate Adaptable Modem Solution for Millimeter-wave Wireless Fronthaul Networks
    Chen, Jingjing
    He, Zhongxia
    Li, Yinggang
    Swahn, Thomas
    Zirath, Herbert
    2015 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATION WORKSHOP (ICCW), 2015, : 1 - 6
  • [7] UAV-Aided Data Collection for Information Freshness in Wireless Sensor Networks
    Liu, Juan
    Tong, Peng
    Wang, Xijun
    Bai, Bo
    Dai, Huaiyu
    IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2021, 20 (04) : 2368 - 2382
  • [8] A Unified Spatial Framework for UAV-Aided MmWave Networks
    Yi, Wenqiang
    Liu, Yuanwei
    Bodanese, Eliane
    Nallanathan, Arumugam
    Karagiannidis, George K.
    IEEE TRANSACTIONS ON COMMUNICATIONS, 2019, 67 (12) : 8801 - 8817
  • [9] UAV-Aided RF Mapping for Sensing and Connectivity in Wireless Networks
    Gesbert, David
    Esrafilian, Omid
    Chen, Junting
    Gangula, Rajeev
    Mitra, Urbashi
    IEEE WIRELESS COMMUNICATIONS, 2023, 30 (04) : 116 - 122
  • [10] Millimeter-Wave Cellular Wireless Networks: Potentials and Challenges
    Rangan, Sundeep
    Rappaport, Theodore S.
    Erkip, Elza
    PROCEEDINGS OF THE IEEE, 2014, 102 (03) : 366 - 385