In-Network Computing: An Architectural Framework for the 6G Core

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Authors: Riccardo Guerzoni, Mattia Giovanni Spina, D. V. Soto Lebron, Susanna Schwarzmann, Riccardo Trivisonno, Floriano De Rango, Daniel Corujo, Antonio Iera
Cited by: 0
References: 8

Abstract

Modern telecommunications networks are no longer required to perform only traffic management and connection establishment functions, but are increasingly evolving into general-purpose processing engines. This is facilitated by InNetwork Computing (INC), which has emerged as a key enabling paradigm in this direction. This shift in vision, however, requires a complete redesign of network infrastructures, with a strong emphasis on deep integration between networking and artificial intelligence capabilities. In the wake of these considerations, in this work we introduce an INC framework for the 3GPP 6G architecture to offload processing from the user device to the processing instances of the 6G mobile system, based on service requirements and constraints of individual user sessions, and delve into 3GPP Control Plane (CP) and User Plane (UP) aspects. Furthermore, we provide an experimental evaluation of the advantages of our INC framework in saving processing resources and energy in the user device while meeting the performance requirements of an AI-powered application.

Fields of Study & Subjects

Software-Defined Networks and 5G IoT and Edge/Fog Computing Advanced Data and IoT Technologies

Publication details

Journal / source
IEEE Communications Standards Magazine
Volume
10
Issue
2
Pages
25–32
Publication date
6 February 2026
Language
EN