The goal of the project is to develop a comprehensive framework for multi-parameter optimization of Heterogeneous Communication Networks for 5G and beyond.
The objective of this project is for AI to select the best music for elderlies and people in need. The success of this project will lead to some amazingly transformative results in the treatment of dementia through music.
The goal of this project is to develop new Deep Learning based high dimensional signal models and prediction tools for immersive visual signal coding.
Traditional application-driven (i.e., fault, SLA, or DoS attack detection) “pull” model (SNMP) based network management is expensive and slow for network problem detection, isolation, and root cause analysis. Especially, the recent federation of novel softwareisation and virtualization architectures, as well as Internet of Things (IoT) technologies, require better management over the heterogeneous systems and services. The project adopts “push” based open source forwarding (streaming) network management technologies by using P4 (Programming Protocol-Independent Packet Processors) Inband Network Telemetry (INT).