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New architecture transforms 6G networks from data transfer to goal achievement
A new network architecture called GoAgentNet aims to transform future 6G communication networks from mere data connections into systems that understand service goals and optimize their operations accordingly.
The change is driven by the evolution of 6G services towards so-called goal-oriented and AI-driven communication. The aim is to provide connections that not only transfer bits but also help industries, cities, or energy networks achieve concrete objectives while improving energy efficiency.
Current networks are designed such that applications and the network are separated. The application does not inform the network of its real goal, and the network, in turn, only sees the data stream, not its significance. According to researchers, this limits the networks' ability to intelligently adapt to various service needs.
The GoAgentNet architecture addresses this issue by describing both network and application functions as a set of program agents capable of collaboration. These agents share information about goals and the semantic content of communication and can collectively guide sensing, data transfer, computation, and network control based on this.
The idea is to elevate communication to a new level: instead of the network transmitting all requested data as quickly as possible, it aims to achieve a higher-level defined goal as efficiently as possible. This could, in the future, facilitate the construction of industrial automation, smart traffic, or energy-saving services, as the network and applications can plan their operations together.
Source: Goal-Oriented Multi-Agent Semantic Networking: Unifying Intents, Semantics, and Intelligence, ArXiv (AI).
The change is driven by the evolution of 6G services towards so-called goal-oriented and AI-driven communication. The aim is to provide connections that not only transfer bits but also help industries, cities, or energy networks achieve concrete objectives while improving energy efficiency.
Current networks are designed such that applications and the network are separated. The application does not inform the network of its real goal, and the network, in turn, only sees the data stream, not its significance. According to researchers, this limits the networks' ability to intelligently adapt to various service needs.
The GoAgentNet architecture addresses this issue by describing both network and application functions as a set of program agents capable of collaboration. These agents share information about goals and the semantic content of communication and can collectively guide sensing, data transfer, computation, and network control based on this.
The idea is to elevate communication to a new level: instead of the network transmitting all requested data as quickly as possible, it aims to achieve a higher-level defined goal as efficiently as possible. This could, in the future, facilitate the construction of industrial automation, smart traffic, or energy-saving services, as the network and applications can plan their operations together.
Source: Goal-Oriented Multi-Agent Semantic Networking: Unifying Intents, Semantics, and Intelligence, ArXiv (AI).
This text was generated with AI assistance and may contain errors. Please verify details from the original source.
Original research: Goal-Oriented Multi-Agent Semantic Networking: Unifying Intents, Semantics, and Intelligence
Publisher: ArXiv (AI)
Authors: Shutong Chen, Qi Liao, Adnan Aijaz, Yansha Deng
December 25, 2025
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