Feasibility Analysis of Fifth-generation (5G) Mobile Networks for Transmission of Medical Imaging Data
Nicolai Spicher, Michael Schweins, Lennart Thielecke, Thomas K\"urner,, Thomas M. Deserno

TL;DR
This paper evaluates the feasibility of using 5G networks for transmitting medical imaging data, demonstrating achievable data rates and discussing future enhancements like network slicing.
Contribution
It provides an empirical analysis of 5G's capabilities for medical data transfer using current hardware and software, highlighting practical data rates and potential improvements.
Findings
Achieves 100 Mbit/s upload rates with consumer hardware
Maintains an average throughput of 50 Mbit/s for medical images
Analyzes radio frequency characteristics during transmission
Abstract
Next to higher data rates and lower latency, the upcoming fifth-generation mobile network standard will introduce a new service ecosystem. Concepts such as multi-access edge computing or network slicing will enable tailoring service level requirements to specific use-cases. In medical imaging, researchers and clinicians are currently working towards higher portability of scanners. This includes i) small scanners to be wheeled inside the hospital to the bedside and ii) conventional scanners provided via trucks to remote areas. Both use-cases introduce the need for mobile networks adhering to high safety standards and providing high data rates. These requirements could be met by fifth-generation mobile networks. In this work, we analyze the feasibility of transferring medical imaging data using the current state of development of fifth-generation mobile networks (3GPP Release 15). We…
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Taxonomy
TopicsWireless Body Area Networks · IoT and Edge/Fog Computing · Telemedicine and Telehealth Implementation
