H2020 DAEMON: Network intelligence for aDAptive and sElf-Learning MObile Networks

Part of EU Open Research Repository
Published November 30, 2021 | Version 1
Project deliverable Open

DAEMON Deliverable 4.1: Initial design of intelligent orchestration and management mechanisms

Creators

  • 1. Technische Universiteit Delft
  • 2. Nokia Bell NV
  • 3. Fundación IMDEA Networks
  • 4. NEC Laboratories Europe GmbH
  • 5. Fundació i2CAT
  • 6. ADLINK Technology SARL
  • 7. Telefónica Investigación y Desarrollo SA
  • 8. Interuniversitair Micro-Electronica Centrum
  • 9. Universidad de Málaga | ITIS Software
  • 10. WINGS ICT Solutions Information & Communication Technologies IKE
  • 11. Organismos Tilepikoinonion tis Ellados OTE ae

Description

WP4’s main objective is to design NI-based solutions for the functionality related to service and resource orchestration and management, particularly covering both DAEMON objective 2 (Developing specialized NI-assisted network functionalities for B5G systems.) and several specific Key Performance Indicators (KPIs) of objective 4 (Demonstrating the viability and performance of NI-native B5G networks). In this deliverable, we provide the initial design of these NI solutions with preliminary results and first performance evaluations, while the refined design and final design of these NI solutions will be presented in the two future WP4 deliverables, respectively.
To this aim, NI-based solutions are investigated on top of the DAEMON framework, providing NI-assisted functionality for the management and orchestration in the B5G system to attain a variety of goals: performance, efficiency, sustainability, and reliability. In essence, the activities in WP4 will be based on the architecture defined in WP2 to not only ensure the developed NI solutions are aligned with the specific needs of mobile network systems, but also to provide NI models for a comprehensive NI management environment along different micro-domains. Also, WP4 provides feedback to WP2 to refine the requirements defined in and the framework designed in WP2. To this end, every NI solution devised in WP4 will be continuously evaluated during the lifetime of DAEMON according to the periodic interaction with WP2 tasks. Moreover, NI solutions developed in WP4 will be extensively examined and evaluated over the available simulation/emulation platforms, testbed experiment, and large-scale datasets to observe the algorithm efficiency in WP5. In this sense, the gap between algorithm design and system development can be reduced significantly and the NI-based solution can be further enhanced after considering real-world implementation limitations. Finally, even though WP3 and WP4 are targeting to design NI solutions with different time granularities and for different micro-domains, these two WPs are both investigating potential NI solutions for the B5G system and therefore their generated knowledge (belonging to different timescales and domains) shall be handled properly by WP2 to make the cooperation and coordination possible in an adaptive and self-learning mobile network.

Notes

This project has received funding from the European Union's Horizon 2020 Research and Innovation Programme under grant agreement No. 101017109.

Files

ict52-daemon-deliverable-4.1.pdf

Files (4.1 MB)

Name Size Download all
md5:909b51fc2faca23a8c8fd46e1a30c47a
4.1 MB Preview Download

Additional details

Funding

European Commission
DAEMON – Network intelligence for aDAptive and sElf-Learning MObile Networks 101017109