Exploiting On-Demand 5G Downlink Signals for Opportunistic Navigation

被引:10
|
作者
Abdallah, Ali [1 ]
Khalife, Joe [1 ]
Kassas, Zaher M. [2 ]
机构
[1] Univ Calif Irvine, Dept Elect Engn & Comp Sci, Irvine, CA 92697 USA
[2] Ohio State Univ, Dept Elect & Comp Engn, Columbus, OH 43210 USA
关键词
5G; positioning; navigation;
D O I
10.1109/LSP.2023.3234496
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
This letter presents the first user equipment (UE)-based 5G navigation framework that exploits the "on-demand" 5G downlink signals. In this framework, the entire system bandwidth of incoming 5G signals is utilized in an opportunistic fashion. The proposed framework involves a cognitive approach to acquire the so-called ultimate reference signal (URS), which includes the "on-demand" as well as "always-on" reference signals (RSs). Experimental results are presented showing that the acquired URS: (i) spans the entire 5G downlink bandwidth, (ii) increases the carrier-to-noise ratio by 10 dB compared to state-of-the-art 5G user equipment (UE)-based opportunistic navigation receiver, and (iii) reduces significantly the carrier and code phase errors. A ranging error standard deviation of 2.75 m was achieved with proposed framework with a stationary receiver placed 290 m away from a 5G gNB in a clear line-of-sight environment, which is lower than the 5.05 m achieved when using the "always-on" 5G downlink signals.
引用
收藏
页码:389 / 393
页数:5
相关论文
共 50 条
  • [21] 5G mmWave Downlink Vehicular Positioning
    Wymeersch, Henk
    Garcia, Nil
    Kim, Hyowon
    Seco-Granados, Gonzalo
    Kim, Sunwoo
    Wen, Fuxi
    Frohle, Markus
    2018 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), 2018,
  • [22] Research on Localization Algorithm with 5G Opportunistic Signals in Co-channel Interference Environments
    Sun, Qian
    Ding, Tianyu
    Jian, Xin
    Li, Yibing
    Yu, Fei
    Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology, 2024, 46 (08): : 3136 - 3145
  • [23] Multipath Mitigation of 5G Signals via Reinforcement Learning for Navigation in Urban Environments
    Abdallah, Ali A.
    Orabi, Mohamad
    Kassas, Zaher M.
    2022 IEEE 95TH VEHICULAR TECHNOLOGY CONFERENCE (VTC2022-SPRING), 2022,
  • [24] Practical evaluation of on-demand smallcell ON/OFF based on traffic model for 5G cellular networks
    Gia Khanh Tran
    Shimodaira, Hidekazu
    Rezagah, Roya Ebrahim
    Sakaguchi, Kei
    Araki, Kiyomichi
    2016 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE, 2016,
  • [25] Exploiting Diffuse Multipath in 5G SLAM
    Ge, Yu
    Kim, Hyowon
    Wen, Fuxi
    Svensson, Lennart
    Kim, Sunwoo
    Wymeersch, Henk
    2020 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), 2020,
  • [26] Mitigation of human EMF exposure in downlink of 5G
    Imtiaz Nasim
    Seungmo Kim
    Annals of Telecommunications, 2019, 74 : 45 - 52
  • [27] Mitigation of human EMF exposure in downlink of 5G
    Nasim, Imtiaz
    Kim, Seungmo
    ANNALS OF TELECOMMUNICATIONS, 2019, 74 (1-2) : 45 - 52
  • [28] A Novel Pilot Scheme for 5G Downlink Transmission
    Wesolowski, Krzysztof
    Langowski, Adrian
    Bakowski, Krzysztof
    2015 12TH INTERNATIONAL SYMPOSIUM ON WIRELESS COMMUNICATION SYSTEMS (ISWCS), 2015,
  • [29] 5G Enhanced Mobile Broadband Downlink Scheduler
    Saglam, Mehmet Izzet
    Kartal, Mesut
    2019 11TH INTERNATIONAL CONFERENCE ON ELECTRICAL AND ELECTRONICS ENGINEERING (ELECO 2019), 2019, : 687 - 692
  • [30] Impact of Hidden Nodes on On-Demand AP Wake-Up Exploiting WLAN Signals
    Asada, Yuma
    Yomo, Hiroyuki
    IEICE TRANSACTIONS ON COMMUNICATIONS, 2016, E99B (04) : 939 - 950