Abstract
With the rapid development of 5G communications, enhanced mobile broadband, massive machine type communications and ultra-reliable low latency communications are widely supported. However, a 5G communication system is still based on Shannon’s information theory, while the meaning and value of information itself are not taken into account in the process of transmission. Therefore, it is difficult to meet the requirements of intelligence, customization, and value transmission of 6G networks. In order to solve the above challenges, we propose a 6G mailbox theory, namely a cognitive information carrier to enable distributed algorithm embedding for intelligence networking. Based on Mailbox, a 6G network will form an intelligent agent with self-organization, self-learning, self-adaptation, and continuous evolution capabilities. With the intelligent agent, redundant transmission of data can be reduced while the value transmission of information can be improved. Then, the features of mailbox principle are introduced, including polarity, traceability, dynamics, convergence, figurability, and dependence. Furthermore, key technologies with which value transmission of information can be realized are introduced, including knowledge graph, distributed learning, and blockchain. Finally, we establish a cognitive communication system assisted by deep learning. The experimental results show that, compared with a traditional communication system, our communication system performs less data transmission quantity and error.
Highlights
With the development of wireless communication technology, the requirements for intelligent computing have significantly increased
6G Network Architecture: In order to meet the requirements of intelligence, customization, and value transmission of a 6G network, a new type of network integrating distributed intelligent network, active interactive network, and cognitive information transmission have been proposed
Based on the above theoretical and technique basis, our 6G MailBox theory will be realized as a cognitive information carrier to enable distributed algorithm embedding for intelligence networking
Summary
With the development of wireless communication technology, the requirements for intelligent computing have significantly increased. It is necessary to measure information value The key technologies in realizing 6G mailbox theory are introduced, including extraction of information value based on knowledge graph, information cognition based on embedding distribution learning and blockchain-based safe transmission of cognitive information. Based on the above theoretical and technique basis, our 6G MailBox theory will be realized as a cognitive information carrier to enable distributed algorithm embedding for intelligence networking. Contribution 2: 6G MailBox Theory: Cognitive information carrier to enable distributed algorithm embedding for intelligence networking. Contribution 3: Performance Evaluation: Cognitive communication system establish, assessments and applications
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