Towards a theory of semantic communication

By Jie Bao, Prithwish Basu, Mike Dean, Craig Partridge, Ananthram Swami, Will Leland, J. Hendler. IEEE Network Science Workshop, 2011

317 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Computational Theory and Mathematics, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/0d29546e7b7a165fa2c528cce1f86171f041ec86

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cognitive Neuroscience

1. Guangming Shi
2. Emilio Calvanese Strinati
3. Sergio Barbarossa

In Computational Theory and Mathematics

1. Yong Xiao
2. Xiaoming Tao
3. Jianhua Lu
4. Sergio Barbarossa
5. Zhijin Qin

In Molecular Biology

1. Zhijin Qin
2. Jianhua Lu
3. Zhenzi Weng
4. Geoffrey Y. Li
5. Xiaoming Tao
6. Sergio Barbarossa

Citations in the corpus

• From Semantic Communication to Semantic-Aware Networking: Model, Architecture, and Open Problems (2020, background): “Consider the hypothetical example in [5] where a child asks her father what is a “Tweety”.”
• Resource Allocation for Text Semantic Communications (2022, unknown): “On this basis, the semantic channel capacity was derived in [11] for the discrete memoryless channel, revealing the existence of the semantic coding strategy for reliable communications.”
• 6G Networks: Beyond Shannon Towards Semantic and Goal-Oriented Communications (2020, background): “Building on a more general information theory, there are also various proposals concerning the design of a semantic communication system [32], [33], [34], [35].”
• 6G: The Next Frontier: From Holographic Messaging to Artificial Intelligence Using Subterahertz and Visible Light Communication (2019, background): “However, now that communications have reached all the limits predicted by Shannon’s theory, a true leap forward can come from incorporating semantics in communications [8].”
• Semantic Communication Systems for Speech Transmission (2021, background): “, lack of mathematical model, cannot be formulated and solved properly when semantic information exchange is considered [10], e.”
• Semantic Communications for Future Internet: Fundamentals, Applications, and Challenges (2022, unknown): “tionship between the semantic entropy and message entropy is H (X ) = H (W )+H (X |W )−H (W |X ), where H (X |W ) measures semantic redundancy of coding, and H (W |X ) measures semantic ambiguity of the coding [28].”
• Semantic Communications: Principles and Challenges (2021, background): “[5] clarified the concepts of semantic noise and semantic channel.”