A Multi-Provider End-to-End Dynamic Orchestration Architecture Approach for 5G and Future Communication Systems

Abstract

Network segregation is the solution adopted in the IMT-2020 standardization of the International Telecommunications Union (ITU), better known as 5G networks (Fifth Generation Mobile Networks), under development to meet the requirements of performance, reliability, energy, and economic efficiency required by applications in the various verticals of current and near-future economic activities. The philosophy adopted for the IMT-2020 standardization relies on the use of Software-Defined Networking (SDN), Network Function Virtualization (NFV), and Software-Defined Radio (SDR), i.e., the softwarization of the network. Softwarization allows network segregation through its slicing, which is discussed herein this work. Network slicing is performed by a novel Orchestrator, as provided in IMT-2020, which maintains the end-to-end network slices independent of each other and performs horizontal handover when the possibility of a loss of Quality of Service (QoS) is predictively detected by monitoring quality parameters during operation. Therefore, the Orchestrator is dynamic, operates in uptime, and allows horizontal handover. Hence, it chooses the most appropriate telecommunication infrastructure provider and network operator to guarantee QoS and Quality of Experience (QoE) to end-users in each network segment. These features make this work modern and keep it aligned with the actions being carried out by ITU. Based on this objective, as the main result of this paper, we propose an effective architecture for implementing the Orchestrator, not only to contribute to the state of the art for 5G and beyond communication systems but also to generate economic, technological, and social impacts.

OpenCare5G: O-RAN in Private Network for Digital Health Applications

“…Addition of other remote assistances to the portfolio. Implementation of further sVC (remote operation for tomography and magnetic resonance machines) in 5G-connected hospitals; Implementation of AI image analysis; Promotion of medtechs/healthtechs’ engagement and knowledge diffusion; Evaluation of synergistic technologies in “green or ecologically correct networks to support the expansion of the intelligent connected edge with minimal network energy consumption; Implementations for network security to overcome challenges in patients’ data privacy and confidentiality; Advanced testbeds for novel communication technologies, including network slicing [ 62 , 63 , 64 ]. …”