Meta-Networking: Beyond the Shannon Limit with Multi-faceted Information
, semantic communication, IoV, multi-faceted inforamtion
Abstract
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.