Empowering UAV-Based Airborne Computing Platform With SDR: Building an LTE Base Station for Enhanced Aerial Connectivity

被引:1
作者
Zhang, Jinran [1 ]
Lu, Kejie [2 ]
Wan, Yan [3 ]
Xie, Junfei [4 ]
Fu, Shengli [1 ]
机构
[1] Univ North Texas, Dept Elect Engn, Denton, TX 76205 USA
[2] Univ Puerto Rico Mayaguez, Dept Comp Sci & Engn, Mayaguez, PR 00680 USA
[3] Univ Texas Arlington, Dept Elect Engn, Arlington, TX 76019 USA
[4] San Diego State Univ, Dept Elect & Comp Engn, San Diego, CA 92182 USA
基金
美国国家科学基金会;
关键词
Autonomous aerial vehicles; Long Term Evolution; Base stations; Standards; Software; 3GPP; Hardware; Airborne computing platform; communication performance; and resource consumption; long-term evolution (LTE); software-defined radio (SDR); unmanned aerial vehicle (UAV);
D O I
10.1109/TVT.2024.3406339
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In recent years, unmanned aerial vehicles (UAVs) have emerged as a transformative technology that can revolutionize various industries and enable a wide range of versatile aerial applications. To facilitate future generations of computing-intensive applications, we have developed a UAV-based airborne computing platform. However, the existing system only supports Wi-Fi connectivity. Recognizing the critical role of Long-Term Evolution (LTE) in providing robust and reliable wireless communication, as well as its compatibility with current and future cellular systems, we present an improved airborne computing platform that combines UAV technology with software-defined radio (SDR). SDR is programmable and can be dynamically configured to enable different wireless communication technologies. Specifically, by using an appropriate SDR module and open-source software, we enhanced the connectivity of our platform by setting it as an LTE base station, thus enabling seamless communication between UAVs and LTE-enabled ground devices. In this paper, we describe the detailed design and implementation of our UAV-based airborne computing platform, emphasizing the integration of SDR technology to build an LTE base station. We also conduct extensive experiments to evaluate the performance of our platform in both indoor and outdoor scenarios, focusing on latency, throughput, signal-to-noise ratio, and resource consumption. Our findings highlight the impact of the computing platform on system performance and emphasize the importance of optimizing software components for specific hardware configurations. Despite the challenges, our results demonstrate the feasibility and potential of SDR-enabled UAV platforms for enhanced aerial connectivity. This work opens up new possibilities for UAV applications, such as edge computing, real-time object detection, remote sensing, and disaster management, all facilitated by the robust and reliable LTE connectivity provided by our UAV-based LTE base station.
引用
收藏
页码:15513 / 15524
页数:12
相关论文
共 39 条
  • [1] 3gpp, 3GPP Specifications
  • [2] 3gpp, 3GPP release 17
  • [3] Enhanced Authentication Based on Angle of Signal Arrivals
    Abdelaziz, Amr
    Burton, Ron
    Barickman, Frank
    Martin, John
    Weston, Josh
    Koksal, Can Emre
    [J]. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2019, 68 (05) : 4602 - 4614
  • [4] Towards an IEEE 802.11 Compliant System for Outdoor Vehicular Visible Light Communications
    Amjad, Muhammad Sohaib
    Tebruegge, Claas
    Memedi, Agon
    Kruse, Stephan
    Kress, Christian
    Scheytt, J. Christoph
    Dressler, Falko
    [J]. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2021, 70 (06) : 5749 - 5761
  • [5] Evolution of Non-Terrestrial Networks From 5G to 6G: A Survey
    Azari, M. Mahdi
    Solanki, Sourabh
    Chatzinotas, Symeon
    Kodheli, Oltjon
    Sallouha, Hazem
    Colpaert, Achiel
    Montoya, Jesus Fabian Mendoza
    Pollin, Sofie
    Haqiqatnejad, Alireza
    Mostaani, Arsham
    Lagunas, Eva
    Ottersten, Bjorn
    [J]. IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2022, 24 (04): : 2633 - 2672
  • [6] Securing UAV Flying Base Station for Mobile Networking: A Review
    Chang, Sang-Yoon
    Park, Kyungmin
    Kim, Jonghyun
    Kim, Jinoh
    [J]. FUTURE INTERNET, 2023, 15 (05)
  • [7] developer.nvidia, Jetson Download Center
  • [8] developer.nvidia, Jetson TX2
  • [9] Fattore U., 2020, P IEEE 91 VEH TECHN, P1
  • [10] github, SoapySDR repository