Intelligent and Ubiquitous Positioning Framework in 5G Edge Computing Scenarios

被引:5
|
作者
Guo, Chi [1 ,3 ]
Yu, Jiang [2 ]
Guo, Wen-Fei [1 ,3 ]
Deng, Yue [2 ]
Liu, Jing-Nan [1 ,2 ]
机构
[1] Wuhan Univ, GNSS Res Ctr, Wuhan 430079, Peoples R China
[2] Wuhan Univ, Sch Geodesy & Geomat, Wuhan 430079, Peoples R China
[3] Wuhan Univ, Artificial Intelligence Inst, Wuhan 430079, Peoples R China
关键词
5G; edge computing; location; simulation; channel modeling; LOCALIZATION;
D O I
10.1109/ACCESS.2020.2990639
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The prosperity of artificial intelligence and 5G has continuously enhanced the capabilities of edge devices. Edge computing is one of the key technologies of 5G network in the future, and the positioning capabilities of edge devices can significantly expand application scenarios of edge computing. A series of new technologies introduced by 5G can not only meet the needs of communication but also improve the positioning accuracy and achieve ubiquitous positioning. However, 5G base stations and devices are far from popular, and the standards of 5G positioning has not fully formed. Thus, simulation is the main research method for studying 5G positioning. Accordingly, we propose a 5G positioning simulation experiment scheme. We mainly introduce the implementation ideas and the specific processes of the simulation experiment of three key parts including scene generation, signal propagation simulation and position estimation. Based on this, we conduct a preliminary study of integrated navigation of inertial measurement unit (IMU) and 5G positioning. Then, we verify the abilities of 5G simulation environment by experiments and discuss the results.
引用
下载
收藏
页码:83276 / 83289
页数:14
相关论文
共 50 条
  • [1] Intelligent edge and 5G technologies for pervasive computing and communications
    Satheeskumaran, S.
    Zhang Yu-Dong
    Pelusi, Danilo
    INTERNATIONAL JOURNAL OF PERVASIVE COMPUTING AND COMMUNICATIONS, 2021, 17 (05) : 445 - 446
  • [2] Industrial Intelligent Edge Computing System based on 5G
    Ding, Peng
    Liu, Dan
    Shen, Yun
    Shi, XiaoHou
    Zhou, HengRui
    Kan, HaoLong
    IWCMC 2021: 2021 17TH INTERNATIONAL WIRELESS COMMUNICATIONS & MOBILE COMPUTING CONFERENCE (IWCMC), 2021, : 1494 - 1498
  • [3] Educational 5G Edge Computing: Framework and Experimental Study
    Chen, Qingyong
    Wang, Zhe
    Su, Yu
    Fu, Luwei
    Wei, Yuanlun
    ELECTRONICS, 2022, 11 (17)
  • [4] Intelligent Heterogeneous Aerial Edge Computing for Advanced 5G Access
    Nguyen, Tri-Hai
    Truong, Thanh Phung
    Tran, Anh-Tien
    Dao, Nhu-Ngoc
    Park, Laihyuk
    Cho, Sungrae
    IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING, 2024, 11 (04): : 3398 - 3411
  • [5] Port Intelligent Supervision Based On 5G Edge Computing Boxes
    Feng, Zhenzhen
    Guo, Xiaoyong
    Liu, Yuntao
    Cui, Can
    PROCEEDINGS OF THE 2024 3RD INTERNATIONAL SYMPOSIUM ON INTELLIGENT UNMANNED SYSTEMS AND ARTIFICIAL INTELLIGENCE, SIUSAI 2024, 2024, : 334 - 338
  • [6] A marketplace model for drone-assisted edge computing in 5G scenarios
    Busacca, F.
    Galluccio, L.
    Palazzo, S.
    COMPUTER NETWORKS, 2022, 219
  • [7] Edge Computing in 5G: A Review
    Hassan, Najmul
    Yau, Kok-Lim Alvin
    Wu, Celimuge
    IEEE ACCESS, 2019, 7 : 127276 - 127289
  • [8] Intelligent secure mobile edge computing for beyond 5G wireless networks
    Lai, Shiwei
    Zhao, Rui
    Tang, Shunpu
    Xia, Junjuan
    Zhou, Fasheng
    Fan, Liseng
    PHYSICAL COMMUNICATION, 2021, 45
  • [9] 5G Intelligent A+: A Pioneer Multi-Access Edge Computing Solution for 5G Private Networks
    Kao L.-C.
    Liao W.
    IEEE Communications Standards Magazine, 2021, 5 (01): : 78 - 84
  • [10] On the Interplay Between 5G, Mobile Edge Computing and Robotics in Smart Agriculture Scenarios
    Valecce, Giovanni
    Strazzella, Sergio
    Grieco, Luigi Alfredo
    AD-HOC, MOBILE, AND WIRELESS NETWORKS (ADHOC-NOW 2019), 2019, 11803 : 549 - 559