Axis Coordinator: Leonardo Linguaglossa (Télécom Paris)
Modern networks (as well as their associated applications and infrastructures) have undergone—and continue to undergo—a significant transformation. Despite the common misconception that research in networking has become stagnant, the field is actually thriving, driven by emerging challenges and strong innovation. The telecommunications industry is experiencing a fundamental shift, moving from hardware-centric solutions to software-defined approaches, replacing costly proprietary equipment with virtualized functions running on standard COTS hardware. This transformation also extends to radio access infrastructure, which is increasingly deployed as cloud-based implementations.
At the same time, the integration of artificial intelligence methods—both for network management (AI4NET) and as support for advanced applications (AI4SYSTEMS)—significantly increases computational demands and requires new architectural, conceptual, and implementation approaches (NET-SYSTEMS4AI). This convergence of computing and networking within telecom-cloud environments creates both opportunities and challenges, necessitating integrated platforms capable of managing a wide range of protocols and technologies.
From the perspective of the pillar lead, four major objectives must currently be addressed by Pillar 1:
- Establish strategic partnerships with industry.
- Facilitate the transition from ideas to concrete applications.
- Promote proactive knowledge sharing among researchers.
- Develop the expertise of the next generation.
Pillar Coordination
The facilitation of the pillar began with two questions posed to the participants:
- What are the keywords of your research activity?
- What are some keywords from an interdisciplinary field that you would like to explore ?
Participants’ Areas of Activity”
- Architectures (6G, SDN, future networks)
- Technologies (Optical networks, antennas, IoT and embedded systems)
- Cloud (Virtualization, orchestration and automation)
- QoS (Network optimization and resource allocation)
- Measurements (data collection, in-network AI)
- Economics (economic models of network systems)
- Security (secure communication and data protection)
- Services and applications (convergence, vehicles)
Targeted Interdisciplinary Fields
- Energy transition, environment and ecology
- Artificial intelligence
- Agriculture
- Health
- Resilience
- Multisensorial (Video, VR)
- Vehicles and transport systems
- Geostrategy, management science and policymaking
- Cross-layer Issues and vertical integration
Axis Activities
Activities are carried out in a light format:
- Monthly virtual meetings
- Scientific podcasts
If you would like to participate in the activities, please submit your request using this form.
