Distributed Task-Oriented Communication Networks with Multimodal Semantic Relay and Edge Intelligence
IEEE Communications Magazine(2024)
摘要
In this article, we present a novel framework, named distributed
task-oriented communication networks (DTCN), based on recent advances in
multimodal semantic transmission and edge intelligence. In DTCN, the multimodal
knowledge of semantic relays and the adaptive adjustment capability of edge
intelligence can be integrated to improve task performance. Specifically, we
propose the key techniques in the framework, such as semantic alignment and
complement, a semantic relay scheme for deep joint source-channel relay coding,
and collaborative device-server optimization and inference. Furthermore, a
multimodal classification task is used as an example to demonstrate the
benefits of the proposed DTCN over existing methods. Numerical results validate
that DTCN can significantly improve the accuracy of classification tasks, even
in harsh communication scenarios (e.g., low signal-to-noise regime), thanks to
multimodal semantic relay and edge intelligence.
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