# 6G Cognitive Information Theory: A Mailbox Perspective
## 3 Intelligence Networking for 6G
### 6G Network Architecture  
Based on above discussion, 5G mobile communication is getting faster and faster, supporting the enhanced broadband mobile communication, massive IoT communication, and ultra-latency and ultra-reliability communication. However, there are still challenges in the way to realize 6G [25], as stated below:  
* _Intelligence requirements_: In the future 6G network, with the development of the Internet of Things (IoT), UAV communication, and satellite communication, the various sensors that will be deployed in the space-are-ground integrated network and the data collected by these sensors will need to be transmitted, analyzed, and processed in real time. With the development of artificial intelligence (AI), sensing devices are becoming more and more intelligent. Thus, in order to meet the requirements of the space-are-ground integrated network, the network needs to be a distributed intelligent network with connection, perception, transmission, storage and analysis;
* _Customization requirements_: With the constant development of new technologies, network architectures will be more and more customized to meet the personalized needs of users and applications. For example, with the development of industrial IoT, industrial equipment has become more and more dependent on communication networks, and different kinds of industrial equipment have different delay requirements for specific tasks. Thus, the 6G network needs to meet the personalized needs of users and different applications, and active cognition of the demand of users and applications can be realized by a future network, and then active interaction can be realized;
* _Transmission requirements_: Demand for data traffic-based services is growing even faster. It is predicted by International Telecommunication Union (ITU) that by 2030, global mobile data traffic will be 100 times as much as current traffic. The deployment of future intelligent applications, such as holographic-type communication and mixed reality, will require higher reliability and lower delay. Therefore, in order to meet the increasing demand of communication, the future communication mode needs to be improved to realize the transmission of information value. In order to meet the above requirements of 6G network, distributed intelligent network based on cloud-edge-terminal, demand centered active interaction and value based information transmission, are proposed:  
**(1)**_Distributed Intelligent Network_. In the traditional communication systems, centralized control architecture is generally adopted, and there are problems in the scalability and management for this type of architecture, especially in the allusion to massive terminals and business requirements. Moreover, with the development of AI, terminals are becoming more and more intelligent, and the existing network experiences difficulties in supporting such applications. Therefore, in the 6G network, the following are required:  
* Intelligence of communication infrastructure is necessary, that is, intelligence should be embedded from access network to core network to meet the personalized access and service of intelligent applications at any time and at any place;
* Intelligent management is needed. In consideration of more access equipment in a 6G network and wider network coverage area of a 6G network, how to manage these \begin{table}
\begin{tabular}{p{56.9 pt} p{56.9 pt} p{56.9 pt} p{56.9 pt} p{56.9 pt}} \hline \hline
**Communication Technology** & **Radio and Networking Technology** & **Peak Rate** & **Mobile-Data** & **Driving Application** \\ \hline
**4G** & LTE, OFDM, MIMO, software-operated radio & 100 Mbps & Broadband communication \\ \hline
**5G** & LTE, cloud-based RAN & 10 Gbps to 1 Tbps & Ultra-high-speed communication \\ \hline
**6G** & Edge intelligence, MIMO, spatial multiplexing & 1 TBps & Ultra-high-speed communication, AI-based self-learning \\ \hline \hline \end{tabular}
\end{table} 
Table 1: Cont. network resources is a challenging problem [26].