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The RIGOUROUS project aspires to identify and address the major cybersecurity, trust, and privacy risks, threatening the next generation of mobile networks, devices, computing infrastructure, and services. RIGOUROUS will address these challenges by introducing a new holistic and smart service framework leveraging new machine learning (ML) and artificial intelligence (AI) mechanisms, which can react dynamically to the ever-changing threat surface on all orchestration layers and network functions. RIGOUROUS new smart service framework is expected to be capable of ensuring a secure, trusted, and privacy-preserving environment for supporting the next generation of trustworthy continuum computing for 6G services along the full device-edge-cloud-continuum on heterogeneous multi-domain networks.
MOSA!C Lab Role: Leader of several tasks and one of the core founders of the consortium.
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6G Bridge – Finland-Korea Collaborative Research on 6G System Architecture. This project is the Finnish counterpart to the Finland-Korea collaboration initiative on 6G system architecture research where Korea has its own national project as well led by ETRI. The 6CORE project is a strategic part of the University of Oulu 6G Flagship program. It builds upon the foundation laid by the former 6G Flagship work in this area but going deeper into selected key system architecture principles and technologies envisioned for the next generation networks. The implementation of the project is organised by dividing the work plan into three technical work packages (WPs). WP1 is mainly devoted to elaborate networking research problems including, e.g., deterministic data delivery, autonomous telco cloud fabric, and semantic routing related research tasks. The primary goal of WP2 is to develop and validate novel multi-networking approaches in conjunction with an open architecture to meet in an efficient and sustainable manner the stringent requirements of different 6G services. Wireless connectivity is the main theme of WP3 searching solutions to such research topics as dependable end-to-end & security, trust and privacy preserving connectivity, heterogeneous wireless networks orchestration and radio access level network slicing.
MOSA!C Lab Role: Project PI and WP1 Leader.
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6G-SANDBOX is one of 35 new projects launched by Smart Networks and Services Joint Undertaking (SNS JU), which the European Commission (EC) established in 2021 to support the development of smart communication components, systems, and networks considered essential in building out a first-class European supply chain for advanced 5G and 6G technologies. The project aims to develop EU-wide experimentation platforms to test promising technical 6G enablers, including zero-touch management, flexible multi-tenancy architecture, network intelligence, security, digital twins, artificial intelligence (AI), and reconfigurable intelligent surfaces. The 6G testbed will combine digital and physical nodes to deliver fully configurable, manageable, and controllable end-to-end networks for validating new technologies and research advancements for 6G. The project offers organizations opportunities to conduct trials at four experimental platforms located in Malaga, Spain; Berlin, Germany; Oulu, Finland; and Athens, Greece.
MOSA!C Lab Role: Leader of several tasks and trial owner.
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Industrial Distributed Edge Architecture over Machine Intelligence for Local Learning.
The project consortium consists of the University of Helsinki, Aalto University (MOSA!C Lab), and Tampere University. The project has significant industry collaboration and an extensive international network of partners with planned researcher mobility.
The Industrial Distributed Edge Architecture over Machine Intelligence for Local Learning (IDEA-MILL) research project addresses the key challenges in future hyper-connected industrial systems to deliver innovative solutions, which are prepared to handle the extremely large data volumes collected from multiple heterogeneous sources, make adequate inference, and provide timely response. Our proposed distributed edge architecture diffuses machine intelligence across the network by bringing more critical and demanding applications closer to smart machines while moving lightweight data and local learning outcomes to the cloud for enterprise-level analytics. The methodology holistically combines AI, edge computing, and 5G radio concepts to facilitate remote control and collaborative telepresence applications. Our expected key scientific results are in developing efficient, flexible, and scalable methods that automate model training processes as well as control storage, computing, networking, and radio resources to minimize the associated costs and latencies (1) via scalable edge intelligence for distributed computing and analytics; (2) via flexible device-edge-cloud interworking for dedicated services; (3) via robust radio connectivity with on-demand topology management.
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Unmanned Aerial Vehicle Vertical Applications’ Trials Leveraging Advanced 5G Facilities
The aim of 5G!Drones is to trial several UAV use-cases covering eMBB, URLLC, and mMTC 5G services, and to validate 5G KPIs for supporting such challenging use-cases. The project will drive the UAV verticals and 5G networks to a win-win position, on one hand by showing that 5G is able to guarantee UAV vertical KPIs, and on the other hand by demonstrating that 5G can support challenging use-cases that put pressure on network resources, such as low-latency and reliable communication, massive number of connections and high bandwidth requirements,
MOSA!C lab Role: Key driver of the project/consortium, leading one of the two main technical work packages of the project, namely WP2 – Trial Controller.
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A DAPTIVE EDGE / CLOUD COMPUTE AND NETWORK CONTINUUM OVER A HETEROGENEOUS SPARSE EDGE INFRASTRUCTURE TO SUPPORT NEXTGEN APPLICATIONS
The ACCORDION project aspires for enhancing the service scalability by enlarging the edge resource and infrastructure pool to cover more geographies and users and meet the expected 5G requirements. ACCORDION will achieve its design goal by leveraging the available resources at a private cloud, Multi-Access Edge Computing (MEC), as well as end-devices, leaving the public cloud as a last resort. ACCORDION will also offer a ubiquitous and collaborative system that will address the needs and expectations of the next-generation application developers and infrastructure owners by offering a system that encompasses frameworks for next-generation application development, the establishment of an adaptive and robust cloud/edge infrastructure continuum, and the abstraction of widely heterogeneous pools. The ACCORDION project consists of three main layers that are on cascade one on top the other starting from the underlying edge infrastructure pool named Edge Infrastructure Pool Framework. The latter will help for creating a viable federation of edge and cloud resource and infrastructure owners. The second layer, dubbed edge/cloud continuum management framework, that offers different tools for achieving an intelligent interplay between edge and cloud resources, primarily aiming at the former and using the latter in the last resort basis as a “capacitor”. Finally, the last layer is application management framework that supports the development of next-generation “liquid” applications, formed from software that casually and effortlessly follows users as they use different types of computing devices by migrating computation, code and state flexibility between the devices.
MOSA!C lab Role: Leader of T4.2, AI-based network orchestration, whereby the goal is to design and develop multi-domain AI-based orchestration framework that ensues the reliability and latency and gives the possibility for each slice tenant to define the blueprints for their VR/AR ready slices. It also leverages machine learning techniques for enabling efficient slice life-cycle management, self-configuration and self-optimization capabilities . Moreover, Mosaic Lab is leader of T5.3, DevOps to orchestrate network paths at the edge, that aims to explore efficient mechanisms for efficiently spotting network problems and orchestrating the network paths at the edge to mitigate the detected problems.
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Intelligent Security and PervasIve tRust for 5G and Beyond.
INSPIRE-5Gplus aims to make a revolutionary shift in the 5G and beyond security vision by progressing 5G Security and by devising a smart, trustworthy and liability-aware 5G security platform for future connected systems, while contributing to its realization. INSPIRE-5Gplus will allow, for the first time, the advancement of security vision for 5G and Beyond through the adoption of a set of emerging trends and technologies, such as zero-touch management (ZTM), Software-defined Security (SD-SEC) models, AI/ML techniques and Trusted Execution Environment (TEE). New breed of SD-SEC assets and models are going to be developed to address some of the challenges that remain (e.g., adaptive slice security) or are completely new (e.g., proactive security). INSPIRE-5Gplus will ensure that the provided security level is in conformance to legislation’, verticals’ and standard’s security requirements.
MOSA!C lab Role: Leader of WP2 – Future of 5G Security and Task2.3 – Evolution of 5G Security and (High-level) Architecture and System Design. Key Contributor to WP2, WP3 – Smart (Intelligent/Adaptive/Flexible) 5G Security.
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Distributed Management of Network Slices in Beyond 5G.
The MonB5G main goal is to provide a new model for the management and orchestration of high numbers of parallel network slices as envisioned in 5G and beyond. To achieve this goal, MonB5G focuses primarily on defining highly distributed management and orchestration system for network slicing and leveraging novel distributed data-driven mechanisms to realize zero-touch network and service management.
MOSA!C lab Role: Participant in the network slicing management and orchestration system architecture definition (WP2); AI-driven management algorithms design, implementation, and evaluation (WP4 and WP5); and proof-of-concept development (WP6). Leading the definition of the framework and AI-driven mechanisms for providing security support to the network slicing management and orchestration system.
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5G for cooperative & connected automated MOBIility on X-border corriders
5G-MOBIX aims at executing Cooperative, Connected and Automated Mobility (CCAM) trials along cross-border and urban corridors using 5G core technological innovations to qualify the 5G infrastructure and evaluate its benefits in the CCAM context as well as defining deployment scenarios and identifying and responding to standardisation and spectrum gaps.
MOSA!C lab Role: Partner – in charge of WP4 CCAM trial activities in Finland test site related to video sharing and network slicing for Tele-operated Support.
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Virtual Presence in Moving Objects Through 5G
The main aim of the PriMO-5G project is to demonstrate an end-to-end 5G system providing immersive video services for moving objects. This will be done by cross-continental testbeds that integrate radio access and core networks developed by different project partners. The cross-continental testbeds will show the end-to-end operations of envisaged use cases. To achieve this aim, the PriMO-5G project will develop a set of solutions enabling the ultra-high data rate services for fast-moving cars and drones. The development includes mmWave radio technologies, interoperable 5G core networks, and AI-assisted communications.
MOSA!C lab Role: Conducting WP2 research related to network slicing and mobile edge computing for drones and other moving objects.
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CSN: Customized Software Networking across Multiple Administrative Domains
CSN aims to introduce an innovative multi-domain network slicing architecture, along with supporting algorithms and mechanisms, to sustain both mobile network and service customization at different granularities (i.e., per vertical, per service and, when required, per individual user). The key objective is to provide programmability and scalable resource orchestration to facilitate a flexible, optimal and customized instantiation and life-cycle management of vertical segment services via the means of network slicing combing resources across different administrative domains. To always ensure short latency, the mobility of both the mobile services and the customized mobile networks will be seamlessly enabled as per the mobility features of users.
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5G meets Industrial Internet
5G@II project aims to meet the new global business of today’s interconnected industries. The project seeks towards combining the next generation of communication technology (5G) with the Industrial Internet (II). This combination forms the basis to enable real-time data management, predictability and mobility of actions, and increased automation in the next generation of factories.
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A Holistic, Innovation Framework for the Design, Development and Orchestration of 5G-Ready Applications and Network Services over Sliced Programmable Infrastructure
Role of Aalto: Key contributor to WP4 “Multi-site Resource Management and Execution Mechanisms”, leading Task 4.4 “VNFs and PNFs Implementation” and Task 7.1 “Dissemination, Clustering and Standardization Activities".
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Global vision, standardisation & stakeholder engagement in 5G
Leader of WP2 - Market watch and Task 2.1 – Technology Radar in International Cooperation. Leader also of Task 3.1 – From Research to Standardisation. MOSA!C Lab is uniquely positioned as an academic research group but with intimate knowledge of the ongoing/planned standardization of activities in the communications area including 5G.
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Advanced Networked Agents for Security and Trust Assessment in CPS/IoT Architectures.
Leader of WP3 – Intelligent Security Orchestration Leveraging NFV and SDN.
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Federating Japanese and European 5G Testbeds to Explore Relevant Standards and Align Views on 5G Mobile Network Infrastructure Supporting Dynamic Creation and Management of Network Slices for Different Mobile Services.
Project Coordinator.
Project Coordinator.
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Advanced Connectivity Platform for Vertical Segments.
Contribution to Task A1706 – Mobile Edge Computing & its Orchestration.
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Finland National Project on 5G, “TAKE 5: 5th Evolution Take of Wireless Communication Networks,” funded by Strategic Centre of Finland for Science, Technology and Innovation
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Grant to support research mobility between Aalto University and the following Algerian University partners: 1) University of Science and Technology Houari Boumediene (USTHB), 2) Ecole National Superieur d'Informatique (ESI), 3) University of Boumerdes (IEEE - Institute of Electrical and Electronic Engineering) and 4) Université Amar Telidji Laghouat.
13 Master students and 8 PhD students.
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Grant for supporting research mobility between Aalto University and the following Moroccan University Partners: 1) University Mohammed V – Souissi, Rabat, 2) University Hassan II, Casablanca, and 3) International University of Rabat, Rabat.
11 Master students and 4 PhD students.
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Starting Package to conduct research on 5G, particularly cloud-based mobile networks. Fund for equipment and for recruiting postdoc researchers and PhD students.
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