Big data Processing and Artificial Intelligence at the Network Edge
The BRAINE’s overall aim is to boost the development of the Edge framework and specifically energy efficient hardware and AI empowered software systems, capable of processing Big Data at the Edge, supporting security, data privacy and sovereignty. The BRAINE project acknowledges the limitations of the current edge computing hardware and software in terms of scalability, power efficiency, reliability, security, performance. In the consortium perspective AI is needed to not only improve on the above mentioned limitations but also simplify the development of systems and applications at the edge of the network, and guarantee their quality while reducing the skill level required to the developer.
The main aim of the project is to test and demonstrate the effectiveness and generality of the BRAINE approach to Edge computing, the innovative computing architectures for embedded and autonomous operation with an emphasis on AI assisted functions by evaluating multiple real-world use cases and scenarios that exhibit the required scalability, security, efficiency, agility, and flexibility concerns. The use-cases foreseen are: Healthcare Assisted Living, Hyperconnected city camera surveillance & security, Economizing remote sensing data, Industry 4.0.
Role of IS-Wireless
IS-Wireless will actively contribute to the research work of the project, providing virtualized 3GPP protocols of the prototype gNB radio stack for workload learning for building models in order to identify prediction capabilities for improved radio resource management. Moreover IS-Wireless will collaborate with Comcores to showcase virtualized RAN prototype for 5G network, which is integrated with the fronthaul network of antennas (RRH) from Comcores. IS-Wireless will contribute to the UC2 (city surveillance) by providing UC2 with the 5G prototype vRAN components deployed at EMCD and connected to the RRH of the Comcores.