A Cost-Efficient 5G Non-Public Network Architectural Approach: Key Concepts and Enablers, Building Blocks and Potential Use Cases

Abstract

The provision of high data rate services to mobile users combined with improved quality of experience (i.e., zero latency multimedia content) drives technological evolution towards the design and implementation of fifth generation (5G) broadband wireless networks. To this end, a dynamic network design approach is adopted, where network topology is configured according to service demands. In parallel, many private companies are interested in developing their own 5G networks, also referred as non-public networks (NPNs), since this deployment is expected to leverage holistic production monitoring and support critical applications. In this context, this paper introduces a 5G NPN architectural approach, supporting among others various key enabling technologies, such as cell densification, disaggregated RAN with open interfaces, edge computing and AI/ML-based network optimization. In the same framework, the corresponding building blocks per architectural layer are described as well, along with potential applications of our proposed approach in real world scenarios (e.g., support of mission critical applications and computer vision analytics for emergencies). Finally, scalability issues are also highlighted since a deployment framework of our architectural design in an additional real-world scenario related to Industry 4.0 concept (smart manufacturing) is described as well.