The scope of the work is to provide a mapping of architectural components for autonomic network management & control developed/implemented in the EC-funded WISHFUL Project to the ETSI NTECH 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. The objective/goal is to illustrate how the GANA can be implemented using the components developed in the EC-funded WISHFUL and ORCA Projects and to show the extent to which the WISHFUL architecture augmented with some virtualisation and hardware acceleration techniques developed in the ORCA project implements the GANA model, in order to guide the industry (implementers of autonomics components for autonomic networks and their associated autonomic management & control architectures) on how to leverage this work in their efforts on GANA implementations. The mapping of the components to the GANA model concepts serves to illustrate how to implement the key abstraction levels for autonomics (self-management functionality) in the GANA model for the targeted wireless networks context, taking into consideration the work done in ETSI TR 103 495. The other objective is to also illustrate the value of joint autonomic management and control of heterogeneous wireless access technologies in such a GANA implementation context, with illustration on where Cognitive algorithms for autonomics (such as Machine Learning and other AI algorithms) can be applied in joint autonomic management & control of heterogeneous wireless access networks. The document answers the question of how to implement the ETSI GANA model using WISHFUL architecture and ORCA concepts.