Network intelligence
for aDAptive and
sElf-Learning
MObile Networks

While current efforts at integrating NI in mobile networks aim at tweaking machine learning solutions so that they fit networking environments, DAEMON upends the approach, and seeks to update the network architecture so that it natively supports NI operations.

DAEMON designates a concrete list of key network functionalities for which it will devise and implement NI algorithms capable of taking full advantage of the proposed NI-native architecture, and spanning varied planes, domains and operation timescales

DAEMON will challenge current practices in machine learning for network automation, and innovate the way NI is conceived, by leveraging emerging trends in AI and re-thinking how AI is applied to the network infrastructure environment.

DAEMON will provide objective evidences of the advantage of a structured, deep, and sensible integration of NI into network infrastructures. This will be achieved by meeting a comprehensive range of Key Performance Indicators (KPIs) on the performance, reliability and sustainability of the proposed solutions, in realistic experimental or measurement data-driven settings.

DAEMON will produce the necessary standards, patents and contributions to industry fora in order to:

1. Attract industry to use the project technology.
2. Foster the widespread adoption of the technology beyond the manufacturers and operators of the consortium.
3. Protect the project findings to secure the commercial advantage of the project partners.

It will also produce top-quality publications to ensure the long-term impact of the project results on research and development community focused on B5G systems.