Abstract
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.
Highlights
In the 5G era, all smart terminals and sensing devices are connected to the network environment through edge computing [1], [2]
Considering that traditional global navigation satellite system (GNSS) systems are difficult to apply to indoor environments, and WIFI and Bluetooth positioning are costly and not universal enough, many new technologies and features in 5G including high-frequency carrier and large bandwidth, massive multiple-input multiple-output (MIMO) and beamforming, ultra-dense network (UDN), device-todevice (D2D) [6] and others can be used for positioning and navigation
This paper studies the system architecture of 5G positioning and proposes a simulation experiment scheme, and perform the implementation of simulation as verification, which will be significant references for researchers
Summary
In the 5G era, all smart terminals and sensing devices are connected to the network environment through edge computing [1], [2]. The propagation delay and the angle of departure and arrival of 5G signals are gradually generated during the simulation process of the channel simulator, which are the observations required for positioning. There is a contradiction between the original simulator and the experiment of positioning that is the distance and angle of signal propagation are randomly generated by the simulator but the positional relation between the user and the base station in the positioning scenario is fixed. The specific idea is to calculate the geometric position relationship between the user and each base station at each track point, including the distance and angle, and input it as a parameter into the channel simulator. The theoretical accuracy and actual accuracy are demonstrated by appropriate visualization methods
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