Intellicise communication system: model-driven semantic communications

doi:10.19682/j.cnki.1005-8885.2022.2002

The Journal of China Universities of Posts and Telecommunications ›› 2022, Vol. 29 ›› Issue (1): 2-12.doi: 10.19682/j.cnki.1005-8885.2022.2002

• Special Topic: Intellicise Communication System • Next Articles

Intellicise communication system: model-driven semantic communications

Zhang Ping, Xu Xiaodong, Dong Chen, Han Shujun, Wang Bizhu

State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China

Received:2022-01-17 Revised:2022-01-20 Accepted:2022-01-22 Online:2022-02-26 Published:2022-02-28
Contact: Corresponding author: Xu Xiaodong E-mail:xuxiaodong@bupt.edu.cn
Supported by:
This work was supported by the National Natural Science Foundation of China (61871045).

Abstract

Abstract: As one of the critical technologies for the 6th generation mobile communication system (6G) mobile communication systems, artificial intelligence (AI) technology will provide complete automation for connecting the virtual and physical worlds. In order to construct the future ubiquitous intelligent network, people are beginning to rethink how mobile communication systems transmit and exploit intelligent information. This paper proposes a new communication paradigm, called the Intellicise communication system: model-driven semantic communication. Intellicise communication system is built on top of the traditional communication system and innovatively adds a new feature dimension on top of the traditional source coding, which enables the communication system to evolve from the traditional transmission of bit to the transmission of “model”. Like the semantic base (Seb) for semantic communication, the model is considered as the new feature obtained from the joint source-channel coding. The sink node can re-construct the original signal based on the received model and the encoded sequence. In addition, the performance evaluation metrics and the implementation details of the Intellicise communication system are discussed in this paper. Finally, preliminary results of model-driven image transmission in the Intellicise communication system are presented.

Key words: Intellicise communication system, semantic communications, model driven, the 6th generation mobile communication system, artificial intelligence

CLC Number:

TN929.5

Zhang Ping, Xu Xiaodong, Dong Chen, Han Shujun, Wang Bizhu. Intellicise communication system: model-driven semantic communications[J]. The Journal of China Universities of Posts and Telecommunications, 2022, 29(1): 2-12.

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Intellicise communication system: model-driven semantic communications

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