Proof of Concept


Proof of Concept

PoC1: Cell-Free Networking in dense and ultra-dense hotspot areas

During high-popularity events, both indoors (music concerts), and outdoors (fairs) a large number of users tend to stream high volumes of content from multiple handheld devices, thus creating a heavy burden to the network infrastructure both in the uplink and in the downlink direction. The current state of the art solution for network densification that involves small cells with Massive (Multiple Input Multiple Output) MIMO capabilities (i.e., a large number of transmitting and receiving antennas with beamforming and precoding techniques) is still limited by inter-cell interference, with performance at the cell edges being a particular concern. This makes cell-free networking, an emerging beyond 5G technology, extremely suitable for hotspot areas, as it can offer seemingly infinite capacity and fully mitigates the cell edge challenges. This PoC explores two deployment scenarios:

Experimental Scenario 1: Dense User-Generated Content distribution with mmWave Fronthauling: Demonstrating and evaluating MARSAL’s distributed cell-free Next Generation Radio Access Network (NG-RAN) in terms of increased capacity and spectral efficiency gains, and the adaptivity of dynamic clustering and Radio Resource Management (RRM) mechanisms in managing connectivity resources in a dynamic environment with varying hotspots areas.

Experimental Scenario 2: Ultra-dense video traffic delivery in a converged Fixed-Mobile network: Showcasing MARSAL’s solution towards Fixed-Mobile Convergence in an ultra-dense indoors scenario.

PoC2: Cognitive Assistance and its Security and Privacy implications in 5G and beyond

Future generations of 5G will bring support for hyper-connectivity, offering seemingly unlimited bandwidth and zero perceived latency, and facilitating disruptive PoCs that are not currently technically feasible. These include real-time, interactive Next-Generation Internet (NGI) applications that support human-centred interaction via novel interfaces (vision and haptics). One such application is Cognitive assistance, which takes the concept of Augmented Reality (AR) one step further, relying on real-time video and scene analytics and activity recognition to provide personalized feedback for activities the user might be performing (recreational activities, furniture assembling, sightseeing, etc.). One of the main challenges is ensuring zero perceived latency to ensure a satisfactory user experience, and also to send timely feedback, especially for time-sensitive activities. Furthermore, the high computational load and massive data sets required for scene analysis and activity recognition makes on-device execution infeasible. This PoC will also address the many security and privacy implications inherent in applications that process personal data and Personally Identifiable Information (PII) as per the General Data Protection Regulation (GDPR). Challenges related to multi-tenant infrastructures, such as policy-driven sharing of operational data and blockchain-based Network Slicing as a Service (NSaaS) will also be addressed.

Experimental Scenario 1: Cognitive Assistance and Smart Connectivity for next-generation sightseeing: Demonstrating and evaluating MARSAL’s Virtual Elastic Infrastructure, showcasing its ability to ensure high reliability and quality of experience for Next-Generation human-centred applications with new terminal types, while sharing resources with high-priority 5G Network Functions (NFs).

Experimental Scenario 2: Data security and privacy in multi-tenant infrastructures: Demonstrating and evaluating MARSAL’s privacy and security mechanisms that guarantee the isolation of slices and ensure collaboration of participants in multi-tenant 5G and beyond infrastructures without assuming trust.