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In existing semantic communication systems for image transmission, some images are generally reconstructed with considerably low quality.
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J. Choi, “A distribution-free analysis of outage probability over block fading channels,” in Eur. Conf. Netw. and Commun. (EuCNC) , Ljubljana, Slovenia, Jun. 2018
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Y. Liu, K. Chen, C. Liu, Z. Qin, Z. Luo, and J. Wang, “Structured knowledge distillation for semantic segmentation,” in Proc. IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR) , Long Beach, USA, Jun. 2019, pp. 2599–2608
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S. S. Ioushua and Y. C. Eldar, “A family of hybrid analog–digital beamforming methods for massive MIMO systems,” IEEE Trans. Signal Process. , vol. 67, no. 12, pp. 3243–3257, Jan. 2019
2019
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M. Yang, C. Bian, and H.-S. Kim, “OFDM-guided deep joint source channel coding for wireless multipath fading channels,” IEEE Trans. Cognit. Comm. Netw. , vol. 8, no. 2, pp. 584–599, Jun. 2022
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M. Wang, J. Li, M. Ma, and X. Fan, “Constellation design for deep joint source-channel coding,” IEEE Signal Process. Lett. , vol. 29, pp. 1442–1446, Jun. 2022
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P. Jiang, C.-K. Wen, S. Jin, and G. Y. Li, “Deep source-channel coding for sentence semantic transmission with HARQ,” IEEE Trans. Commun. , vol. 70, no. 8, pp. 5225–5240, Aug. 2022
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J. Guo, C.-K. Wen, S. Jin, and G. Y. Li, “Overview of deep learning-based CSI feedback in massive MIMO systems,” IEEE Trans. Commun. , vol. 70, no. 12, pp. 8017–8045, Dec. 2022
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D. B. Kurka and D. Gunduz, “DeepJSCC-f: Deep joint source-channel coding of images with feedback,” IEEE J. Select. Areas Inf. Theory , vol. 1, no. 1, pp. 178–193, May 2020
2020
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J. Guo, C.-K. Wen, S. Jin, and G. Y. Li, “Convolutional neural network-based multiple-rate compressive sensing for massive MIMO CSI feedback: Design, simulation, and analysis,” IEEE Trans. Wireless Commun. , vol. 19, no. 4, pp. 2827–2840, Apr. 2020
2020
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Z. Weng and Z. Qin, “Semantic communication systems for speech transmission,” IEEE J. Select. Areas Commun. , vol. 39, no. 8, pp. 2434–2444, Aug. 2021
2021
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M. B. Mashhadi, Q. Yang, and D. Gündüz, “Distributed deep convolutional compression for massive MIMO CSI feedback,” IEEE Trans. Wireless Commun. , vol. 20, no. 4, pp. 2621–2633, Apr. 2021
2021
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S. Ji and M. Li, “CLNet: Complex input lightweight neural network designed for massive MIMO CSI feedback,” IEEE Commun. Lett. , vol. 10, no. 10, Apr. 2021
2021
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J. Wang, G. Gui, T. Ohtsuki, B. Adebisi, H. Gacanin, and H. Sari, “Compressive sampled CSI feedback method based on deep learning for FDD massive MIMO systems,” IEEE Trans. Commun. , vol. 69, no. 9, pp. 5873–5885, Aug. 2021
2021
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K. Niu, J. Dai, S. Yao, S. Wang, Z. Si, X. Qin, and P. Zhang, “A paradigm shift toward semantic communications,” IEEE Comm. Maga. , vol. 60, no. 11, pp. 113–119, Nov. 2022
2022
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2022
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D. Gündüz, Z. Qin, I. E. Aguerri, H. S. Dhillon, Z. Yang, A. Yener, K. K. Wong, and C.-B. Chae, “Beyond transmitting bits: Context, semantics, and task-oriented communications,” IEEE J. Select. Areas Commun. , vol. 41, no. 1, pp. 5–41, Jan. 2023
2023
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W. Yang, H. Du, Z. Q. Liew, W. Y. B. Lim, Z. Xiong, D. Niyato, X. Chi, X. Shen, and C. Miao, “Semantic communications for future internet: Fundamentals, applications, and challenges,” IEEE Commun. Surveys Tuts. , vol. 25, no. 1, pp. 213–250, 2023
2023
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Q. Hu, G. Zhang, Z. Qin, Y. Cai, G. Yu, and G. Y. Li, “Robust semantic communications with masked VQ-VAE enabled codebook,” IEEE Trans. Wireless Commun. , p. to appear, 2023, doi: 10.1109/TWC.2023.3265201
2023
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W. Zhang, H. Zhang, H. Ma, H. Shao, N. Wang, and V. C. M. Leung, “Predictive and adaptive deep coding for wireless image transmission in semantic communication,” IEEE Trans. Wireless Commun. , p. to appear, 2023, doi: 10.1109/TWC.2023.3234408
2023
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M. K. Farshbafan, W. Saad, and M. Debbah, “Curriculum learning for goal-oriented semantic communications with a common language,” IEEE Trans. Commun. , vol. 71, no. 3, pp. 1430–1446, Mar. 2023
2023
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Y. Shi, S. Shao, Y. Wu, W. Zhang, X.-G. Xia, and C. Xiao, “Excess distortion exponent analysis for semantic-aware MIMO communication systems,” IEEE Trans. Wireless Commun. , p. to appear, 2023, doi: 10.1109/TWC.2023.3238463
2023
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H. Zhang, H. Wang, Y. Li, K. Long, and A. Nallanathan, “DRL-driven dynamic resource allocation for task-oriented semantic communication,” IEEE Trans. Commun. , p. to appear, 2023, doi: 10.1109/TCOMM.2023.3274145
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