ETSI TC INT has published ETSI TR 103 626 on 17 February 2020. An Instantiation and Implementation of the Generic Autonomic Network Architecture (GANA) Model onto Heterogeneous Wireless Access Technologies using Cognitive Algorithms.

TR 103 626 for Int blog

This Technical Report provides a mapping of architectural components for Autonomic Network Management & Control developed/implemented in the European Commission (EC) funded WiSHFUL and ORCA Projects to the ETSI TC INT AFI Generic Autonomic Networking Architecture (GANA) model - an architectural reference model for autonomic networking, cognitive networking and self-management.

The mapping pertains to architectural components for autonomic decision-making and associated control-loops in wireless network architectures and their associated management and control architectures.



Rationale

Technical Committee (TC) INT Working Group (WG) AFI delivered:

  • TS 103 195-2 - “Autonomic Network Engineering for the Self-Managing Future Internet (AFI); Generic Autonomic Network Architecture (GANA)”
  • TS 103 194 - ”Scenarios, Use Cases and Requirements for Autonomic /Self-Managing Future Internet”
  • ETSI White Paper No.16 on “ETSI GANA Model and GANA Implementation Guide”, complemented by
  • ETSI 5G PoC White Paper No.4

AFI WG is also running a series of 5G PoC Demos aiming at operationalizing this “GANA Multi-layer AI Framework for AMC” (Autonomic Management & Control):

AFI WG is driving a PoC Program on other various topics pertaining to the introduction of Autonomics in various network architectures and their associated management and control architectures.



The 7th UCAAT (User Conference on Advanced Automated Testing) was held at Bordeaux on 22-24 October 2019.

ETSI Technical Committee INT presented the pdfcurrent work on Artificial Intelligence (AI) in Test Systems and Testing AI Models for Autonomic (Closed-Loop) Network Automation.

Artificial Intelligence Models (AI Models) are enablers for advanced intelligence in the Management and Control operations now strongly required for the evolving and future networks such as 5G Networks. AI algorithms bring benefits to diverse aspects in development and deployment of AI exhibiting systems such as Autonomic and Cognitive 5G networks and their associated Autonomic Management and Control (AMC) systems. This presentation covers the work launched under the ETSI TC INT AFI WG 5G PoC Program on “AI in Test Systems and Testing AI Models” articulated around the three following topics:

  • The benefits AI brings to Test Systems (e.g. in reduction of Test Suites execution time in Performance Testing complex systems)
  • Testing AI Models for autonomic and cognitive management & control of network resources, parameters and services—using a “Qualified Automated Test Component(s) or System” that exhibit best quality AI capabilities for testing those of AI Component(s)/System Under Test
  • Generic Test Framework for Testing ETSI GANA (Generic Autonomic Network Architecture) Model’s Multi-Layer Autonomics & AI Algorithms for Closed-Loop Network Automation