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Sensing and edge artificial intelligence (AI) are envisioned as two essential and interconnected functions in sixth-generation (6G) mobile networks.
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B. Yang, X. Cao, K. Xiong, C. Yuen, Y. L. Guan, S. Leng, L. Qian, and Z. Han, “Edge intelligence for autonomous driving in 6G wireless system: Design challenges and solutions,” IEEE Wireless Commun. , vol. 28, no. 2, pp. 40–47, 2021
2021
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M. Chen, D. Gündüz, K. Huang, W. Saad, M. Bennis, A. V. Feljan, and H. V. Poor, “Distributed learning in wireless networks: Recent progress and future challenges,” IEEE J. Sel. Areas Commun. , vol. 39, no. 12, pp. 3579–3605, 2021
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Z. Yang, M. Chen, W. Saad, C. S. Hong, and M. Shikh-Bahaei, “Energy efficient federated learning over wireless communication networks,” IEEE Trans. Wireless Commun. , vol. 20, no. 3, pp. 1935–1949, 2021
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T. Sery, N. Shlezinger, K. Cohen, and Y. C. Eldar, “Over-the-air federated learning from heterogeneous data,” IEEE Trans. Signal Process. , vol. 69, pp. 3796–3811, 2021
2021
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X. Tang, X. Chen, L. Zeng, S. Yu, and L. Chen, “Joint multiuser DNN partitioning and computational resource allocation for collaborative edge intelligence,” IEEE Internet Things J. , vol. 8, no. 12, pp. 9511–9522, 2021
2021
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J. Du, B. Jiang, C. Jiang, Y. Shi, and Z. Han, “Gradient and channel aware dynamic scheduling for over-the-air computation in federated edge learning systems,” IEEE J. Sel. Areas Commun. , vol. 41, no. 4, pp. 1035–1050, 2023
2023
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Z. Lin, H. Liu, and Y.-J. A. Zhang, “CFLIT: Coexisting federated learning and information transfer,” IEEE Trans. Wireless Commun. , vol. 22, no. 11, pp. 8436–8453, 2023
2023
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Y. Yang, Z. Zhang, Y. Tian, Z. Yang, C. Huang, C. Zhong, and K.-K. Wong, “Over-the-air split machine learning in wireless MIMO networks,” IEEE J. Sel. Areas Commun. , vol. 41, no. 4, pp. 1007–1022, 2023
2023
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N. Zhang, M. Tao, J. Wang, and S. Shao, “Coded over-the-air computation for model aggregation in federated learning,” IEEE Commun. Lett. , vol. 27, no. 1, p. 160–164, 2023
2023
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2023
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X. Chen, E. G. Larsson, and K. Huang, “On-the-fly communication-and-computing for distributed tensor decomposition over mimo channels,” IEEE Trans. Signal Process. , vol. 71, pp. 4192–4206, 2023
2023
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C. Zhou, Y. Zhang, J. Chen, and D. Huang, “OcTr: Octree-based transformer for 3D object detection,” in Proc. IEEE/CVF Conf. Comput. Vis. Pattern Recog. (CVPR) , Jun. 17-24 2023
2023
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Y. Xiong, F. Liu, Y. Cui, W. Yuan, T. X. Han, and G. Caire, “On the fundamental tradeoff of integrated sensing and communications under gaussian channels,” IEEE Trans. Inf. Theory , vol. 69, no. 9, pp. 5723–5751, 2023
2023
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2023
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Y. Xiong, F. Liu, Y. Cui, W. Yuan, T. X. Han, and G. Caire, “On the fundamental tradeoff of integrated sensing and communications under gaussian channels,” IEEE Trans. Inf. Theory , vol. 69, no. 9, pp. 5723–5751, 2023
2023
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2023
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2023
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M. Cui, Z. Wu, Y. Lu, X. Wei, and L. Dai, “Near-field MIMO communications for 6G: Fundamentals, challenges, potentials, and future directions,” IEEE Commun. Mag. , vol. 61, no. 1, pp. 40–46, 2023
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A. Kirillov, E. Mintun, N. Ravi, H. Mao, C. Rolland, L. Gustafson, T. Xiao, S. Whitehead, A. C. Berg, W.-Y. Lo et al. , “Segment anything,” in Proc. IEEE Conf. Comput. Vis. Pattern Recognit. , Vancouver, Canada, June 18–22 2023, pp. 4015–4026
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2023
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J. Li, H. Dai, H. Han, and Y. Ding, “Mseg3d: Multi-modal 3D semantic segmentation for autonomous driving,” in Proc. IEEE Conf. Comput. Vis. Pattern Recognit. , Vancouver, Canada, June 18–22 2023, pp. 21 694–21 704
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M. Xu, D. Niyato, H. Zhang, J. Kang, Z. Xiong, S. Mao, and Z. Han, “Joint foundation model caching and inference of generative AI services for edge intelligence,” in Proc. IEEE Glob. Commun. Conf. , Kuala Lumpur, Malaysia, December 4–8 2023, pp. 3548–3553
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X. Cheng, H. Zhang, J. Zhang, S. Gao, S. Li, Z. Huang, L. Bai, Z. Yang, X. Zheng, and L. Yang, “Intelligent multi-modal sensing-communication integration: Synesthesia of machines,” IEEE Comm. Surv. Tutor. , vol. 26, no. 1, pp. 258–301, 2024
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X. Xiong, A. Ren, T. Yuan, A. Zahid, Q. H. Abbasi, and M. A. Imran, “Human motion recognition by micro-Doppler features and concatenated CNN-LSTM network,” IEEE Sensors J. , pp. 1–1, 2024
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Y. He, G. Yu, and Y. Cai, “Rate-adaptive coding mechanism for semantic communications with multi-modal data,” IEEE Trans. Commun. , vol. 72, no. 3, pp. 1385–1400, 2024
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2024
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Y. Tao, S. Chen, C. Zhang, D. Wang, D. Yu, X. Cheng, and F. Dressler, “Private over-the-air federated learning at band-limited edge,” IEEE Trans. Mob. Comput. , vol. 23, no. 12, pp. 12 444–12 460, 2024
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Q. Zeng, Z. Wang, Y. Zhou, H. Wu, L. Yang, and K. Huang, “Knowledge-based ultra-low-latency semantic communications for robotic edge intelligence,” IEEE Trans. Commun. , vol. 73, no. 7, pp. 4925–4940, Jul. 2025
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