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SimulatorOrchestrator: A 6G-Ready Simulator for the Cell-Free/Osmotic Infrastructure

Lookup NU author(s): Rohin Gillgallon, Reham Almutairi, Dr Giacomo BergamiORCiD, Professor Graham MorganORCiD

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).

Abstract

To the best of our knowledge, we offer the first IoT-Osmotic simulator supporting 6G and Cloud infrastructures, leveraging the similarities in Software-Defined Wide Area Network (SD-WAN) architectures when used in Osmotic architectures and User-Centric Cell-Free mMIMO (massive multiple-input multiple-output) architectures. Our simulator acts as a simulator orchestrator, supporting the interaction with a patient digital twin generating patient healthcare data (vital signs and emergency alerts) and a VANET simulator (SUMO), both leading to IoT data streams towards the cloud through pre-initiated MQTT protocols. This contextualises our approach within the healthcare domain while showcasing the possibility of orchestrating different simulators at the same time. The combined provision of these two aspects, joined with the addition of a ring network connecting all the first-mile edge nodes (i.e., access points), enables the definition of new packet routing algorithms, streamlining previous solutions from SD-WAN architectures, thus showing the benefit of 6G architectures in achieving better network load balancing, as well as showcasing the limitations of previous approaches.The simulated 6G architecture, combined with the optimal routing algorithm and MEL (Microelements software components) allocation policy, was able to reduce the time required to route all communications from IoT devices to the cloud by upto 50.4% compared to analogous routing algorithms used within 5G architectures.

Publication metadata

Author(s): Gillgallon R, Almutairi RMS, Bergami G, Morgan G

Publication type: Article

Publication status: Published

Journal: Sensors

Year: 2025

Volume: 25

Issue: 5

Online publication date: 05/03/2025

Acceptance date: 02/03/2025

Date deposited: 05/03/2025

ISSN (electronic): 1424-8220

Publisher: MDPI AG

URL: https://doi.org/10.3390/s25051591

DOI: 10.3390/s25051591

Data Access Statement: The codebase and datasets are available at https://github.com/LogDS/SimulatorOrchestrator/releases/tag/v1.0 (accessed on 1 March 2025). The results generated by the simulator can be found on OSF.io at https://osf.io/ykcjs/ (accessed on 1 March 2025).

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