Meta-Networking: Beyond the Shannon Limit with Multi-faceted Information , semantic communication, IoV, multi-faceted inforamtion
The conventional network infrastructure is struggling to keep up with the rapidly growing demands of modern society. The explosion of data, the increasing number of connected devices, and the growing reliance on real-time applications are all putting pressure on the current network which almost reaches Shannon’s limit. In this paper, we propose Meta-Networking, an advanced networking architecture that can provide beyond Shannon communications by utilizing multi-faceted information from different domains, based on an intelligent collaboration among distributed network entities. An overview of Meta- Networking is provided and the key principles and components of Meta-Networking, including the quality-of-experience characterization, AI-empowered semantic encoding, and information density improvement, are analyzed. It enables a groundbreaking communication system where a much larger amount of information is transmitted without increasing the size of binary digits. Furthermore, an application scenario for image transmission in the Internet of Vehicles (IoV) is discussed, which shows a significant performance improvement as compared with conventional communications. It is believed that Meta- Networking has the potential for revolutionizing communication systems with higher efficiency, stronger reliability, and intelligence awareness.
ROIS NII Open Collaborative Research under Grant 23S0601
JSPS KAKENHI under Grants 20H00592, and 21H03424
Email Address of Submitting Authorlinyangfei@uec.ac.jp
ORCID of Submitting Author0000-0002-5739-6654
Submitting Author's Institutionthe University of Electro-Communications,
Submitting Author's Country