REFERENCES
1. Han, S.; Liao, Y.; Chen, S.; Liang, Y. C. Joint channel estimation for RIS-aided mmWave MIMO wireless communication systems with mixed-resolution quantization schemes. IEEE. Internet. Things. J. 2025, 12, 33756-68.
2. Lu, S.; Liu, F.; Li, Y.; Zhang, K.; Huang, H.; Zou, J. Integrated sensing and communications: recent advances and ten open challenges. IEEE. Internet. Things. J. 2022, 11, 19094-120.
3. Cheng, Q.; Zhang, L.; Dai, J. Y.; Tang, W.; Ke, J. C.; Liu, S. Reconfigurable intelligent surfaces: simplified-architecture transmitters - from theory to implementations. Proc. IEEE. 2022, 110, 1266-89.
4. Kang, J. M. Deep learning enabled multicast beamforming with movable antenna array. IEEE. Wireless. Commun. Lett. 2024, 13, 1848-52.
5. He, C.; Lu, Y.; Chen, W.; Ai, B.; Wong, K. K.; Niyato, D. Graph neural network enabled fluid antenna systems: a two-stage approach. IEEE Trans. Veh. Technol. 2025. https://discovery.ucl.ac.uk/id/eprint/10209042/1/Graph_Neural_Network_Enabled_Fluid_Antenna_Systems_A_Two-Stage_Approach.pdf. (accessed 20 Oct 2025).
6. Chen, Y.; Chen, M.; Xu, H.; Yang, Z.; Wong, K. K.; Zhang, Z. Joint beamforming and antenna design for near-field fluid antenna system. IEEE. Wireless. Commun. Lett. 2025, 14, 415-9.
7. Ma, W.; Zhu, L.; Zhang, R. Multi-beam forming with movable-antenna array. IEEE. Commun. Lett. 2024, 28, 697-701.
8. Zhu, L.; Ma, W.; Zhang, R. Modeling and performance analysis for movable antenna enabled wireless communications. IEEE. Trans. Wireless. Commun. 2024, 23, 6234-50.
9. Ye, Y.; You, L.; Wang, J.; Xu, H.; Wong, K. K.; Gao, X. Fluid antenna-assisted MIMO transmission exploiting statistical CSI. IEEE. Commun. Lett. 2024, 28, 223-7.
10. Ma, W.; Zhu, L.; Zhang, R. MIMO capacity characterization for movable antenna systems. IEEE. Trans. Wireless. Commun. 2024, 23, 3392-407.
11. Zhu, L.; Ma, W.; Ning, B.; Zhang, R. Movable-antenna enhanced multiuser communication via antenna position optimization. IEEE. Trans. Wireless. Commun. 2024, 23, 7214-29.
12. Zhu, L.; Ma, W.; Zhang, R. Movable-antenna array enhanced beamforming: achieving full array gain with null steering. IEEE. Commun. Lett. 2023, 27, 3340-4.
13. Hu, G.; Wu, Q.; Ouyang, J.; Xu, K.; Cai, Y.; Al-Dhahir, N. Movable-antenna-array-enabled communications with CoMP reception. IEEE. Commun. Lett. 2024, 28, 947-51.
14. Li, N.; Wu, P.; Ning, B.; Zhu, L. Sum rate maximization for movable antenna enabled uplink NOMA. IEEE. Wireless. Commun. Lett. 2024, 13, 2140-4.
15. Xiao, Z.; Pi, X.; Zhu, L.; Xia, X. G.; Zhang, R. Multiuser communications with movable-antenna base station: joint antenna positioning, receive combining, and power control. IEEE. Trans. Wireless. Commun. 2024, 23, 19744-59.
16. Yang, S.; Lyu, W.; Ning, B.; Zhang, Z.; Yuen, C. Flexible precoding for multi-user movable antenna communications. IEEE. Wireless. Commun. Lett. 2024, 13, 1404-8.
17. Tang, J.; Pan, C.; Zhang, Y.; Ren, H.; Wang, K. Secure MIMO communication relying on movable antennas. IEEE. Wireless. Commun. Lett. 2025, 73, 2159-75.
18. Qin, H.; Chen, W.; Li, Z.; Wu, Q.; Cheng, N.; Chen, F. Antenna positioning and beamforming design for fluid antenna-assisted multi-user downlink communications. IEEE. Wireless. Commun. Lett. 2024, 13, 1073-7.
19. Hu, G.; Wu, Q.; Xu, K.; et al. Fluid antennas-enabled multiuser uplink: a low-complexity gradient descent for total transmit power minimization. IEEE. Commun. Lett. 2024, 28, 602-6.
20. Wang, C.; Li, Z.; Wong, K. K.; Murch, R.; Chae, C. B.; Jin, S. AI-empowered fluid antenna systems: opportunities, challenges, and future directions. IEEE. Wireless. Commun. 2024, 31, 34-41.
21. Jang, S.; Lee, C. New view of learning-aided channel estimation for movable antenna systems. IEEE. Trans. Wireless. Commun. 2025, 24, 5694-708.
22. Tang, X.; Jiang, Y.; Liu, J.; Du, Q.; Niyato, D.; Han, Z. Deep learning-assisted jamming mitigation with movable antenna array. IEEE. Trans. Veh. Technol. 2025, 74, 14865-70.
23. Weng, C.; Chen, Y.; Zhu, L.; Wang, Y. Learning-based joint beamforming and antenna movement design for movable antenna systems. IEEE. Wireless. Commun. Lett. 2024, 13, 2120-4.
24. Fadakar, A.; Mansourian, A.; Akhavan, S. Localization using convolutional neural networks with mobile array. In 2024 IEEE 100th Vehicular Technology Conference (VTC2024-Fall), Washington, USA. October 07-10, 2024. IEEE; 2024. p. 1-5.
25. Mamamed, A.; Bai, Z.; Femi-Philips, O.; et al. Low complexity deep neural network based transmit antenna selection and signal detection in SM-MIMO system. Digit. Signal. Process. 2022, 130, 103708.
26. Tsakiris, M. C.; Peng, L.; Conca, A.; Kneip, L.; Shi, Y.; Choi, H. An algebraic-geometric approach for linear regression without correspondences. IEEE. Trans. Inf. Theory. 2020, 66, 5130-44.
27. Zhang, J.; Liu, W.; Gu, C.; Gao, S. S.; Luo, Q. Multi-beam multiplexing design for arbitrary directions based on the interleaved subarray architecture. IEEE. Trans. Veh. Technol. 2020, 69, 11220-32.
28. Xie, C.; Xiu, Y.; Yang, S.; Zhang, Z. Deep learning for movable antenna precoding in 2D MISO communication system. In 2024 10th International Conference on Computer and Communications (ICCC), Chengdu, China. December 13-16, 2024. IEEE; 2024. pp. 2500-4.
29. Zheng, Q.; Saponara, S.; Tian, X.; Yu, Z.; Elhanashi, A.; Yu, R. A real-time constellation image classification method of wireless communication signals based on the lightweight network MobileViT. Cogn. Neurodyn. 2024, 18, 659-71.
30. Zheng, Q.; Tian, X.; Yu, Z.; et al. MobileRaT: a lightweight radio transformer method for automatic modulation classification in drone communication systems. Drones 2023, 7, 596.
31. Zheng, Q.; Tian, X.; Yu, L.; Elhanashi, A.; Saponara, S. Recent advances in automatic modulation classification technology: methods, results, and prospects. Int. J. Intell. Syst. 2025.
