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A radical paradigm shift of wireless networks from ``connected things'' to ``connected intelligence'' undergoes, which coincides with the Shanno and Weaver's envisions: Communications will transform from the technical level to the semantic level.
“Recent Contributions to The Mathematical Theory of Communication,”
W. Weaver, · 1949
Earlier work this paper cites.
“An Outline of a Theory of Semantic Information,”
R. Carnap, and Y. Bar-Hillel, · 1952
Earlier work this paper cites.
“Outline of a Theory of Strongly Semantic Information,”
L. Floridi, · 2004
Earlier work this paper cites.
“Towards a theory of semantic communication,”
J. Bao, P. Basu, and M. Dean, · 2011
Earlier work this paper cites.
“Perceptual losses for real-time style transfer and super-resolution,”
J. Johnson, A. Alahi, and F. Li, · 2016
Earlier work this paper cites.
“Grad-cam: Visual explanations from deep networks via gradient-based localization,”
R. Selvaraju, M. Cogswell, and A. Das, · 2017
Cited alongside, same era.
Y. Zhou, F. Yu, and J. Chen, · 2017
Cited alongside, same era.
“Net2vec: Quantifying and explaining how concepts are encoded by filters in deep neural networks,”
R. Fong, and A. Vedaldi, · 2018
Cited alongside, same era.
“The Roadmap to 6G: AI Empowered Wireless Networks,”
K. B. Letaief, W. Chen, Y. Shi, J. Zhang, and Y. A. Zhang, · 2019
Cited alongside, same era.
“A Vision of 6G Wireless Systems: Applications, Trends, Technologies, and Open Research Problems,”
W. Saad, M. Bennis, and M. Chen, · 2020
Later among the works it cites.
“Toward Self-Learning Edge Intelligence in 6G,”
Y. Xiao, G. Shi, Y. Li, W. Saad, and H. V. Poor, · 2020
Later among the works it cites.
“Deep Learning Enabled Semantic Communication Systems,”
H. Xie, Z. Qin, G. Y. Li, and B. Juang, · 2021
Closest in time.
“A Lite Distributed Semantic Communication System for Internet of Things,”
H. Xie, and Z. Qin, · 2021
Closest in time.
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