###### Abstract  
In this study, we demonstrate an application for 5G networks in mobile and remote GPR scanning situations to detect buried objects by experts while the operator is performing the scans. Using a GSSI SIR-30 system in conjunction with the RealSense camera for visual mapping of the surveyed area, subsurface GPR scans were created and transmitted for remote processing. Using mobile networks, the raw B-scan files were transmitted at a sufficient rate, a maximum of 0.034 ms mean latency, to enable near real-time edge processing. The performance of 5G networks in handling the data transmission for the GPR scans and edge computing was compared to the performance of 4G networks. In addition, long-range low-power devices, namely Wi-Fi HaLow and Wi-Fi hotspots, were compared as local alternatives to cellular networks. Augmented reality headset representation of the F-scans is proposed as a method of assisting the operator in using the edge-processed scans. These promising results bode well for the potential of remote processing of GPR data in augmented reality applications. G 2025 15 6552 28 April 2  
Additionally, GPR scanning methods have been improved by the addition of neural networks for non-traditional applications such as locating burial sites [10]. As the interpretation of GPR data is challenging, methods for creating 3D images of reinforced concrete have been proposed [11]. Moreover, GPR is used in tandem with emerging technologies such as augmented reality (AR) [12] to create 3D models of underground pipelines. In 2020, a new GPR-augmented reality method for monitoring underground structures was proposed, which reduces the time required to post-process the data [13]. The system was later implemented to observe signal strength in real time using AR [14]. GPR scanning can also be used in conjunction with other computationally expensive methods such as deep reinforcement learning, which was demonstrated by [PERSON] et al. [15] in 2021. The autonomous cognitive GPR method outperforms other comparable methods in terms of identifying objects with high accuracy in a timely manner. Apart from the use of GPR scanning methodology, another important feature is the mapping and localization of the area. The localization was previously performed manually, which was not only time-consuming but could also lead to potential human errors. For this reason, RealSense cameras are widely used. [PERSON] et al. [16] used depth and tracking RealSense cameras to create a 3D map and localization of an indoor area. [PERSON] et al. [17] utilized two RealSense cameras on their Hexapod walking robot to autonomously explore outdoor and indoor spaces. Furthermore, the RealSense camera can be used in conjunction with the NVIDIA Jetson Nano for Simultaneous Localization and Mapping (SLAM) using the Robot Operating System (ROS) on mobile platforms [18]. Wireless communication is defined as data transmission from one place to another. Some of the popular wireless networks are wireless personal area networks, wireless local area networks, wireless metropolitan area networks, wireless wide area networks, and cellular networks [19]. [PERSON] et al. [20] used a user-centric approach to describe 4G network properties. Switching to 4G from previous generations has a number of advantages, including lower costs and the ability to access the network via a variety of platforms [21]. In 2014, [PERSON] et al. [22] estimated the maximum improvement that could be achieved with 5G as a 90-160 times increase in range. In 2017, [PERSON] and [PERSON] [23] investigated the necessities and requirements for achieving low latency and high data throughput. [PERSON] [24] compared the performance of 4G and 5G networks, finding that the time delay improved by more than ten times and the peak data rate increased by more than twenty times. In 2021, [PERSON] et al. [25] evaluated the IEEE 802.11 ah [26] (Wi-Fi HaLow) and demonstrated its capability as a low-power, high-throughput, and long-range protocol with field tests for indoor and outdoor environments.