The transition to 6G necessitates advanced experimental capabilities across diverse, heterogeneous testbed infrastructures. Current approaches to integrating these platforms often suffer from complexity, limited interoperability, and proprietary interfaces, hindering rapid innovation and cross-domain experimentation. This paper introduces a novel open-source Software Development Kit (SDK) designed to simplify the federation and integration of heterogeneous testbed environments across Europe. The SDK achieves this by providing a unified interface that translates standardised service Application Programming Interfaces (APIs), primarily those defined by the Linux Foundation (LF) CAMARA initiative and the GSMA Operator Platform Group (OPG) for the East-Westbound Interface (EWBI), into platform-specific operations for both edge cloud and 5G core networks. It fills crucial gaps by introducing mechanisms for local and cross-domain artefact upload, application onboarding, and instantiation, as well as network exposure capabilities, fully compliant with GSMA OPG and 3GPP Network Exposure Function (NEF) specifications. By abstracting federation complexity, the SDK enables seamless deployment and management of applications across federated domains without requiring awareness of underlying operator topologies or administrative policies. We detail the SDK’s architecture, highlighting its modular design, the implementation of reusable Transformation Functions (TFs) for edge cloud orchestration and network exposure capabilities, and its support for various underlying platforms. This work forms a significant advancement towards the realisation of an open, interoperable, and application-centric toolkit to deploy and test next-generation applications in federated, operator-like environments, laying crucial groundwork for sustainable and interoperable 6G experimentation.
The integration of the Internet of Things into the healthcare sector has resulted in the emergence of the Internet of Medical Things (IoMT) technology. However, IoMT networks remain susceptible to various types of threats due to their heterogeneity and resource-constrained characteristics. Therefore, novel security solutions, such as efficient and accurate Anomaly-based Intrusion Detection Systems (AIDSs), considering the inherent limitations of IoMT networks are required to be developed, before IoMT networks realize their full potential in the market. In our previous work, we focused on developing an AIDS for protecting Linux-based IoMT devices. In this paper, we extend our previous work by presenting the first AIDS specifically designed for resource-constrained IoMT devices using the popular Zephyr RTOS. The implementation details of the proposed AIDS are described, and the runtime performance of the implemented MDA component of the AIDS is evaluated using an nRF52840 Development Kit (DK). The runtime performance evaluation showed a minimized resource consumption (i.e., less than 1% CPU and RAM usage, approximately 1% ROM usage).
This paper focuses on how the concepts conceptualized by ETSI ZSM in the Intent Management project and TM Forum in the Autonomous Networks project have been adopted and enhanced by 6G-INTENSE. Specifically, we demonstrate how intent translation, decomposition, and propagation have been realized across the operational domains of the architecture, to control the management and orchestration of resources at the infrastructure level. We propose an LLM-based Conversational Assistant (Chatbot) for Intent-driven Management to ease the process of Service Ordering by Verticals. Our Chatbot intelligently translates natural language requests into business requests, which are subsequently processed to generate actions at the infrastructure level, as demonstrated in the results section
This proof-of-concept demonstration introduces an LLM-based framework that automates model selection for network use cases, driven by user intent, to improve performance and reduce complexity.
Healthcare 4.0 (H4.0) applications such as tele-health and Internet of Medical things (IoMT) demand ultra-high capacity, low latency, extensive coverage, energy efficiency, and massive connectivity, stressing the limits of traditional Terrestrial Networks (TNs) infrastructure. The lack of ubiquitous terrestrial coverage and X-haul capacity bottlenecks necessitate integrated Terrestrial and Non-Terrestrial 6G Networks (TN-NTNs). However, high deployment cost and energy limitations of NTNs demand efficient solutions to ensure scalable and sustainable healthcare delivery. This paper focuses on minimizing the Total Cost of Ownership (TCO) of the integrated 6G TN-NTN formulated as a joint offline cost-aware user association, traffic routing and Virtual Network Function (VNF) placement problem. A cost-efficient low complexity heuristic algorithm (named CHEUR) is developed and evaluated via simulations. The proposed solution is shown to significantly outperform the State-of-Art (SoA) in terms of energy and cost-efficiency, with CHEUR achieving up to 1.64 times higher energy efficiency and 73.85% TCO reduction. The problem is introduced within a H4.0 scenario which includes healthcare focused service function chains (SFCs) aligned with the latest ITU-R framework for IMT-2030.
