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Semantic communication is envisioned as a promising technique to break through the Shannon limit.
Y. Xu, J. Wang, Q. Wu, A. Anpalagan, and Y. Yao, “Opportunistic spectrum access in cognitive radio networks: Global optimization using local interaction games,” IEEE J Sel Top Signal Process , vol. 6, pp. 180-194, 2012
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Q. Wu, G. Ding, Y. Xu, S. Feng, Z. Du, J. Wang, and K. Long, “Cognitive internet of things: a new paradigm beyond connection,” IEEE Internet Things J. , vol. 1, pp. 129-143, 2014
2014
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N. Farsad, M. Rao, and A. Goldsmith, “Deep learning for joint source-channel coding of text,” in Proc. IEEE Int. Conf. Acoust., Speech Signal Process. , Calgary, AB, Canada, pp. 2326-2330, Apr. 2018
2018
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P. Popovski, O. Simeone, F. Boccardi, D. Gunduz, and O. Sahin, “Semantic-effectiveness filtering and control for post-5g wireless connectivity,” J Indian Inst Sci , vol. 100, pp. 435-443, Dec. 2019
2019
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2019
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2020
Cited alongside, same era.
2020
Cited alongside, same era.
Q. Wu, T. Ruan, F. Zhou, Y. Huang, F. Xu, S. Zhao, Y. Liu, and X. Huang, “A unified cognitive learning framework for adapting to dynamic environment and tasks,” IEEE Wirel. Commun. , to be published, 2021
2021
Cited alongside, same era.
E. C. Strinati and S. Barbarossa, “6G networks: Beyond Shannon towards semantic and goal-oriented commeunications,” Comput. Netw. , vol. 190, p.107930, 2021
2021
Cited alongside, same era.
M. Kountouris and N. Pappas, “Semantics-empowered communication for networked intelligent systems,” IEEE Commun. Mag. , vol. 59, no. 6, pp. 96-102, June. 2021
2021
Later among the works it cites.
H. Xie, Z. Qin, G. Y. Li, and B. -H. Juang, “Deep learning enabled semantic communication systems,” IEEE Trans. Signal Process. , vol. 69, pp. 2663-2675, 2021
2021
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Z. Weng and Z. Qin, “Semantic communication systems for speech transmission,” IEEE J. Sel. Areas Commun. , vol. 39, no. 8, pp. 2434-2444, Aug. 2021
2021
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2021
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F. Zhou, Y. Wu, and Q. Wu, “Resource allocation based on deep reinforcement learning for wideband cognitive radio network,” URSI GASS , to be published, 2021
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2021
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2021
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