# 6G Cognitive Information Theory: A Mailbox Perspective
## 3 Intelligence Networking for 6G
### 6G Network Architecture
The introduction of a intelligent network control and resource scheduling is an effective solution. It is predicted that network autonomy and self-optimization can be realized with the introduction of AI and digital twin technology;
* For perception, transmission, storage, and analysis of large scale data, the realization of sinking from cloud centralized type to edge distributed type is required. Specifically, (i) the integration of perception and transmission is required, that is, the integration of data perception and transmission should be realized; (ii) the deep fusion of cloud edge-terminal communication, computing, and caching resources should be realized, that is, horizontal distributed collaboration, vertical hierarchical collaboration, and hybrid collaboration should be realized through aggregation and decoupling of communication, computing and caching resources. _(2) Proactive Interactive network_. Traditional communication systems generally focus on network functions. However, with the rapid growth of IoT devices, such network architectures will become more and more complicated and it will be difficult for them to expand. Moreover, it may be difficult for such architectures to meet the personalized demand of users or services. Therefore, a personalized demand-centered network should be established in the 6G era, to realize demand-driven control and management. For example, for users' personalized demand, a user-centered network can be established, where users can define network functions to implement on-demand resource scheduling. Moreover, in consideration of changes in user demand, the network will adjust dynamically in real time according to the changes of user demand, thus to realize proactive interaction. This design requires the use of AI technology to unify the network layout. However, this design brings security concerns. As users pay more and more attention to personal data, security, and privacy issues, the protection of user data should be realized in a 6G network, and user data should be autonomous and controllable. _(3) Cognitive Information Transmission_. Most traditional communication technologies are based on Shannon information theory, which excludes semantic modeling and analysis of information. With such communication systems, the transmission of the number of bits of information can be ensured, without concern for semantic characteristics or the value of information. However, this kind of transmission may produce a large amount of redundant data transmission, resulting in the waste of communication and computing resources. Therefore, more attention should be paid to the content of the transmitted information in the 6G network, and the semantic features of the information should be extracted and transmitted. Furthermore, with the development of deep learning, feature extraction technology is becoming more and more advanced. Therefore, different from traditional encoding and decoding mode, the cognition of information can be realized by extracting and mining the features of information content. Based on the discussion above, we propose the 6G mailbox theory, i.e., a cognitive information carrier to enable distributed algorithm embedding for intelligence. With this network, value-centered transmission, service customization, and active interaction can be realized. Specifically, the 6G network will become an intelligent agent with self-organization, self-learning, self-adaptation, and continuous evolution capabilities. Intelligent dynamic deployment and sharing of communication, computing, and caching resources can be realized, data transmission can be secure and reliable, and differential adaptation can be conducted based on user demand. Therefore, in a 6G network, with a decentralized intelligent network architecture and transmission of information value, transmission of signaling can be greatly reduced to meet the requirements of intelligent services on ultra-low delay and ultra-high reliability.