for aDAptive and
The DAEMON H2020 european project develops and implements innovative and pragmatic approaches to Network Intelligence (NI) design that enable high performance, sustainable and extremely reliable zero-touch network system. DAEMON designs an end-to-end NI-native architecture for Beyond 5G (B5G) that fully coordinates NI-assisted functionalities.
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:
- Attract industry to use the project technology.
- Foster the widespread adoption of the technology beyond the manufacturers and operators of the consortium.
- 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.
NEW @h2020daemon publication from @IMEC in Sensors titled “ATARI: A Graph Convolutional Neural Network Approach for Performance Prediction in Next-Generation WLANs". Available at: #h2020daemon #H2020 @EU_H2020 @5GPPPRead More
NEW @h2020daemon publication from @tudelft in IEEE International Conference on Communications (ICC 2021 @IEEEICC) titled “No-Regret Slice Reservation Algorithms". Available at: #h2020daemon #H2020 @EU_H2020 @5GPPPRead More
@h2020daemon recently held its first Advisory Board Meeting, where we presented the highlights and current advancements. We thank all the attendants and especially the Advisory Board as #h2020daemon received enthusiastic and positive feedback from them. #H2020 @EU_H2020 @5GPPP https://t.co/JgZL28lg8...Read More
NEW @h2020daemon publication from @InformaticaUMA in the Journal of Systems and Software (@JSSoftware) titled “ProDSPL: Proactive self-adaptation based on Dynamic Software Product Lines". Available @ZENODO_ORG: #h2020daemon #H2020 @EU_H2020 @5GPPPRead More
NEW @h2020daemon publication from @IMDEA_Networks in the IEEE Conf. on Computer Communications (#IEEE #INFOCOM)'21 titled “Energy-Efficient Orchestration of Metro-Scale 5G Radio Access Networks". Available @ZENODO_ORG: #h2020daemon #H2020 @EU_H2020 @5GPPPRead More