Toward Semantic Communication Protocols: A Probabilistic Logic Perspective

Classical medium access control (MAC) protocols are interpretable, yet their task-agnostic control signaling messages (CMs) are ill-suited for emerging mission-critical applications. By contrast, neural network (NN) based protocol models (NPMs) learn to generate task-specific CMs, but their rational...

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Veröffentlicht in:	IEEE journal on selected areas in communications Jg. 41; H. 8; S. 2670 - 2686
Hauptverfasser:	Seo, Sejin, Park, Jihong, Ko, Seung-Woo, Choi, Jinho, Bennis, Mehdi, Kim, Seong-Lyun
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.08.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Access control Artificial neural networks Collision avoidance Logic programming Media Access Protocol medium access control (MAC) multi-agent deep reinforcement learning Neural networks Nonstationary environments Probabilistic logic probabilistic logic programming language (ProbLog) Programming languages protocol learning Protocols Reconfiguration Semantic communication protocol semantic information theory Semantics Task analysis Vocabulary
ISSN:	0733-8716, 1558-0008
Online-Zugang:	Volltext
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