Xiaoxia Xu

Xiaoxia Xu

Postdoctoral researcher on 6G advanced antennas & multiple access techniques, AI-native 6G networks, and large model over 6G

Publications

Research Interests

  • Pinching-Antenna Systems (PASS)
  • AI-Native Wireless Communications and Large AI Models (LAM)
  • Mobile Edge Generation (MEG), Edge Intelligence, and Digital Twins
  • mmWave/THz, Unlicensed Networks, and Emerging Wireless Systems
  • NOMA and Next-Generation Multiple Access (NGMA)

A full list of publications can be found on Google Scholar.

Below are selected journal papers or preprints, organized by research topic.

1. Pinching-Antenna Systems (PASS)

  • X. Xu, X. Mu, Z. Wang, Y. Liu, and A. Nallanathan. Pinching-antenna systems (PASS): Power radiation model and optimal beamforming design. IEEE Transactions on Communications, 2025. [Paper] [Code]

  • X. Xu, X. Mu, Y. Liu, and A. Nallanathan. Joint transmit and pinching beamforming for pinching antenna systems (PASS): Optimization-based or learning-based? IEEE Transactions on Wireless Communications, 2026. [Paper] [Code]

  • X. Xu, X. Mu, Y. Liu, and A. Nallanathan. Multi-Mode Pinching Antenna Systems Enabled Multi-User Communications. arXiv preprint, 2026. [ArXiv]

  • X. Xu, X. Mu, Y. Liu, and A. Nallanathan. Multi-Mode Pinching-Antenna Systems: Mode Selection or Mode Combining? arXiv preprint, 2026. [ArXiv] [Code]

  • X. Xu, X. Mu, Y. Liu, H. Xing, and A. Nallanathan. User Localization and Channel Estimation for Pinching-Antenna Systems (PASS). arXiv preprint, 2025. [ArXiv]

  • Y. Liu, Z. Wang, X. Mu, C. Ouyang, X. Xu, and Z. Ding. Pinching-antenna systems: Architecture designs, opportunities, and outlook. IEEE Communications Magazine, 2025. [Paper]

  • Y. Liu, H. Jiang, X. Xu, Z. Wang, J. Guo, C. Ouyang, X. Mu, Z. Ding, A. Nallanathan, G. K. Karagiannidis, et al. Pinching-antenna systems (PASS): A tutorial. IEEE Transactions on Communications, 2026. [Paper]

  • Y. Liu, H. Jiang, X. Gan, X. Xu, J. Guo, Z. Wang, C. Ouyang, X. Mu, Z. Ding, A. Nallanathan, et al. A Survey of Pinching-Antenna Systems (PASS). arXiv preprint, 2026. [ArXiv]

  • D. Gan, X. Xu, J. Zuo, X. Ge, and Y. Liu. Joint beamforming for NOMA assisted pinching antenna systems (PASS). IEEE Transactions on Communications, vol. 74, pp. 2450-2465, 2025. [Paper]

  • Y. Hu, T. Zhang, X. Xu, and Y. Liu. Pinching Antenna-Enabled Integrated Sensing and Communication for Low-Altitude UAV. IEEE Transactions on Vehicular Technology, 2025. [Paper]

2. Machine Learning for B5G/6G

  • X. Xu, X. Mu, Y. Liu, H. Xing, Y. Liu, and A. Nallanathan. Generative artificial intelligence for mobile communications: A diffusion model perspective. IEEE Communications Magazine, vol. 63, no. 7, pp. 98-105, 2024. [Paper] [Code]

  • X. Xu, Y. Liu, X. Mu, Q. Chen, H. Jiang, and Z. Ding. Artificial intelligence enabled NOMA toward next generation multiple access. IEEE Wireless Communications, vol. 30, no. 1, pp. 86-94, 2023. [Paper] [Code]

  • X. Xu, Q. Chen, X. Mu, Y. Liu, and H. Jiang. Graph-embedded multi-agent learning for smart reconfigurable THz MIMO-NOMA networks. IEEE Journal on Selected Areas in Communications, vol. 40, no. 1, pp. 259-275, 2021. [Paper]

  • X. Xu, Y. Liu, Q. Chen, X. Mu, and Z. Ding. Distributed auto-learning GNN for multi-cell cluster-free NOMA communications. IEEE Journal on Selected Areas in Communications, vol. 41, no. 4, pp. 1243-1258, 2023. [Paper]

  • Q. Chen, Y. Yang, X. Xu (Co-Corresponding Author), G. Zhu, J. Zhang, and H. Jiang. Exploiting beam split effect on wideband beam alignment: A deep unfolding based posterior matching approach. IEEE Journal on Selected Areas in Communications, vol. 43, no. 4, pp. 1027-1040, 2025. [Paper]

  • J. Guo, X. Xu, Y. Liu, and A. Nallanathan. Diffusion Model for Multiple Antenna Communication. IEEE Communications Magazine, vol. 63, no. 10, pp. 44-50, 2025. [Paper]

  • L. Zhang, A. Liu, X. Xu, X. Mu, and Y. Liu. Two-Stage Reinforcement Learning for MIMO-NOMA with Hard-Latency Constraints. IEEE Transactions on Communications, 2025. [Paper]

3. Mobile Edge Generation (MEG), Edge Intelligence, and Digital Twins

  • X. Xu, R. Zhong, X. Mu, Y. Liu, and K. Huang. Mobile edge generation-enabled digital twin: Architecture design and research opportunities. IEEE Communications Magazine, vol. 63, no. 4, pp. 32-39, 2024. [Paper] [Code]

  • X. Xu, Y. Liu, X. Mu, H. Xing, and A. Nallanathan. Accelerating mobile edge generation (MEG) by constrained learning. IEEE Transactions on Cognitive Communications and Networking, vol. 11, no. 3, pp. 1854-1869, 2025. [Paper] [HuggingFace]

  • X. Xu, X. Mu, Y. Liu, Y. H. Kim, and A. Nallanathan. Large Model at Edge: An Optimal Mobile Edge Generation (MEG) Design. IEEE Transactions on Wireless Communications, 2025. [Paper] [Code]

  • Q. Chen, X. Xu, H. Jiang, and X. Liu. An energy-aware approach for industrial Internet of Things in 5G pervasive edge computing environment. IEEE Transactions on Industrial Informatics, vol. 17, no. 7, pp. 5087-5097, 2020. [Paper]

  • Q. Chen, X. Xu, Z. You, H. Jiang, J. Zhang, and F.-Y. Wang. Communication-efficient federated edge learning for NR-U-based IIoT networks. IEEE Internet of Things Journal, vol. 9, no. 14, pp. 12450-12459, 2021. [Paper]

  • D. Gan, X. Xu, X. Ge, and Y. Liu. NOMA-Assisted Mobile Edge Generation (MEG): Enabling Mobile Access to Large Models. IEEE Transactions on Wireless Communications, vol. 25, pp. 10002-10017, 2026. [Paper]

  • B. Wang, X. Xu, M. Ouyang, J. Liu, and Y. Liu. Secure Mobile Edge Generation (MEG): Privacy Preservation in the Presence of Eavesdroppers. IEEE Communications Letters, vol. 30, pp. 1136-1140, 2026. [Paper]

  • T. Shi, T. Zhang, X. Xu, Y. Liu, and R. Huang. Multimodal Mobile Edge Computing: Multi-Objective Optimization With Synchronization Constraint. IEEE Transactions on Mobile Computing, 2025. [Paper]

  • Z. Zhao, X. Xu, T. Zhang, J. Li, and Y. Liu. Dependency-Aware Task Offloading in Multi-UAV Assisted Collaborative Mobile Edge Computing. arXiv preprint, 2025. [ArXiv]

  • Q. Chen, R. Li, X. Xu, J. Wu, H. Jiang, and M. Qiu. Human-aware dynamic hierarchical network control for distributed metaverse services. IEEE Journal on Selected Areas in Communications, vol. 42, no. 3, pp. 629-642, 2024. [Paper]

4. NOMA, Unlicensed Networks, and Emerging Wireless Systems

  • X. Xu, Y. Liu, X. Mu, Q. Chen, and Z. Ding. Cluster-free NOMA communications toward next generation multiple access. IEEE Transactions on Communications, vol. 71, no. 4, pp. 2184-2200, 2023. [Paper]

  • X. Xu, Q. Chen, H. Jiang, and J. Huang. Millimeter-wave NR-U and WiGig coexistence: Joint user grouping, beam coordination, and power control. IEEE Transactions on Wireless Communications, vol. 21, no. 4, pp. 2352-2367, 2021. [Paper]

  • Q. Chen, X. Xu, and H. Jiang. Online green communication scheduling for sliced unlicensed heterogeneous networks. IEEE Transactions on Vehicular Technology, vol. 70, no. 10, pp. 10657-10670, 2021. [Paper]

  • H. Xie, T. Zhang, X. Xu, D. Yang, and Y. Liu. Joint sensing, communication, and computation in UAV-assisted systems. IEEE Internet of Things Journal, vol. 11, no. 18, pp. 29412-29426, 2024. [Paper]

  • S. Wang, T. Zhang, X. Xu, and Y. Liu. Heterogeneous Semantic and Bit Communications in UAV Network: A Semi-NOMA Design. IEEE Transactions on Vehicular Technology, 2025. [Paper]