# A 5G-Based VR Application for Efficient Port Management
## 5 QoE Analysis of the Smart Port VR System  
In this experiment, the experimenter mainly through the VR headset experience in a virtual environment to experience the manipulation of autonomous trucks and manipulate the crane to grab the goods and a series of operations. The system QoE framework is shown in Figure 16.  
Figure 15: Comparison between 4G and 5G network environment. (**a**) Uplink bandwidth; (**b**) downlink bandwidth; (**c**) jitter; (**d**) delay. 1. Content quality  
Content quality is the core part of the augmented reality system and is directly related to the user experience. In terms of content quality, this paper boils down to two important secondary influencing factors, one is the richness of the content, and the other is the authenticity of the information. The ship terminal information visualization system must contain the information that customs officers need to verify in their daily work, and, also, provide some additional auxiliary content. For the authenticity of the information, augmented reality needs to be able to vividly display the content and give the user enough immersion. Therefore, the container, cargo, and ship models need to be as realistic as possible. 2. Hardware quality  
Since users need to wear VR devices for interaction, the quality of the hardware of the device will greatly affect the user's experience. Therefore, it is mainly affected by two factors, the user's freedom of movement and wearing comfort. Users need to be able to freely observe virtual objects from any head perspective, while the user's head has been supporting the weight of the device in the case of long-term wear work, therefore, the overall quality of the device and the wrapping will directly affect the user experience. 3. User interaction  
The human-computer interaction under augmented reality is different from the general mobile end of manually clicking and sliding on the screen, it needs to go to use all the physical information input of the user, so user interaction is an important reference index for evaluating the system. The first is the naturalness of the interaction. The interaction should be as close as possible to the interaction methods used by users in reality, such as voice and gestures. On the other hand, it is the response speed of the system to the user's operation, for example, when the user speaks a voice quality or clicks a button, if the system is too slow to respond, it will directly reduce the user's experience, and even make the user lose interest in continuing to use the device experience. 4. Environmental understanding  
In this paper, environmental understanding is considered one of the important first-level parameters of the system evaluation model. Environmental understanding is further divided into two subcategories. Firstly, realistic elements need to fit with their surroundings in terms of content and location in order to make sense of them. Secondly, as users often change their position and orientation, VR applications should be able to respond to environmental changes quickly to avoid mismatches with the real world. We have conducted user experience evaluation experiments on this system, the experimenters and experimental steps are as follows:  
Figure 16: System QoE framework. The testers should ensure that they have some knowledge about port operations and VR so that they can better gauge the feasibility of the system. Thirty-five volunteers were invited to the test. The volunteers include undergraduate and master's students in computer science, telecommunication, and navigation technology, as well as administrative staff, teachers, and others with different professional backgrounds, ranging from 18 to 50 years old. The participants were first invited to attend a 10 min warmup to familiarize themselves with Huawei VR glasses, using gestures as well as voice to perform brief interactions such as moving their heads, calling out, and canceling the main menu.