The 5G Proof of Concept (PoC) Project of ETSI WG TC INT AFI published its White Paper #6 “Generic Framework for Multi-Domain Federated ETSI GANA Knowledge Planes (KPs) for End-to-End Autonomic (Closed-Loop) Security Management & Control for 5G Networks/Services”.

Rationale

The 5G PoC White Paper #6 has now been published, and its purpose is to lay the groundwork for the standardization of “A Generic Framework for Multi-Domain Federated ETSI GANA (Generic Autonomic Network Architecture) Knowledge Planes (KPs) for End-to-End Autonomic (Closed-Loop) Security Management & Control for 5G Networks/Services”.

The White Paper is accessible for download via the INT Wiki.

ETSI TC INT has established that E2E Autonomic (Closed-Loop) Service and Security Assurance shall be achievable through the Federation of GANA Knowledge Planes (KPs) (as Platforms) that implement components for Autonomic Management and Control (AMC) intelligence for specific network segments and domains. While such an E2E Federation of KP Platforms for multiple network segments (as domains) has to be primarily considered within a single network operator administrative domain, the E2E Federation of KPs may be extended to even span multiple network operator or enterprise network administrative domains.



5G PoC White Paper: AI in Test Systems, Testing AI Models and ETSI GANA Model's Cognitive Decision Elements (DEs)

Rationale

The purpose of this 5G Proof of Concept (PoC) White paper #5, is to lay the groundwork of the standardization that has been jointly launched recently in ETSI by TC INT and TC MTS with the support of the Centre of Testing and Interoperability (CTI) on the topic of “Testing of AI and AI in Testing Systems” that will address the various aspects linked to this topic through the development of ETSI assets such as specifications to be used by the industry.

These specifications will include the definition of metrics pertaining to specific classes of AI models that can be targeted for testing and assessment, for such metrics definitions are currently missing in the work being done in the various standardization groups.

Moreover, the specifications will close a gap also identified in the 5G PoC White Paper #5 on the need for a “Test & Certification Framework for AI Models in AMC” (Autonomic Management & Control) to support the Industry in implementing and achieving Multi-Layer AMC for Autonomous Networks being specified by ETSI and other Standards Development Organizations (SDOs) / Fora.

It is noticeable that the framework being proposed by ETSI TC INT is aligned with the European Commission’s White Paper, published on 19 February 2020, on “Artificial Intelligence: a European approach to excellence and trust” that emphasizes the need for:

  1. A Regulatory Framework
  2. The Creation of an AI Testing Center, and
  3. The Creation of a Certification Center

Looking at the topic of “Testing of AI and AI in Test Systems” as a journey, ETSI TC INT has identified, already in 2015, the need for a Test & Certification Framework for Adaptive Networks and their Associated Autonomic Functions using AI Components and published, in 2016, EG 203 341 “Approaches for Testing Adaptive Networks” to anticipate and prepare the Industry’s readiness in implementing Multi-Layer Autonomic (AMC) frameworks for evolving and future networks. 



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.