Research on Intelligent Indoor Positioning Technology based on 5G

Authors

  • Xuelin Han
  • Liangfu Peng

DOI:

https://doi.org/10.54097/fcis.v5i1.11793

Keywords:

5G Positioning Technology, High Precision Positioning, Channel State Information (CSI), Fififth-Generation (5G) New Radio (NR), Indoor Positioning

Abstract

5G, as the first mobile communication system that takes positioning service as one of the design goals, introduces a variety of new technologies to improve the communication performance of the system and the accuracy and applicability of wireless positioning. However, there are still some problems in 5G indoor positioning, such as low positioning accuracy and poor switching between indoor and outdoor positioning. In order to solve these problems, further research and improvement of positioning technology is needed. In summary, 5G, as the first mobile communication system that takes positioning service as one of its design goals, introduces a variety of new technologies to improve the accuracy and applicability of positioning. However, there are still some problems to be solved, such as improving indoor positioning accuracy and achieving continuous and seamless coverage for indoor and outdoor positioning. The future development trend is positioning integration and convergence, and the introduction of collaborative positioning techniques to further improve the performance of positioning. In this paper, by analyzing the current status of 5G indoor positioning, it leads to the fact that how to improve the indoor positioning accuracy and achieve continuous and seamless coverage of indoor and outdoor positioning are urgent problems in the field of positioning, for which, firstly, we analyze the positioning techniques under the ultra-dense networking for 5G, the AOA, TDOA positioning techniques, and uplink and downlink positioning techniques. Finally, it is pointed out that positioning integration and convergence is the trend of future 5G positioning development, and then the necessity and feasibility of introducing collaborative positioning technology is pointed out.

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References

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Published

12-09-2023

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Articles

How to Cite

Han, X., & Peng, L. (2023). Research on Intelligent Indoor Positioning Technology based on 5G. Frontiers in Computing and Intelligent Systems, 5(1), 73-78. https://doi.org/10.54097/fcis.v5i1.11793