个人信息

姓  名: 夏文超 性  別: 导师类型: 硕士生导师
技术职称: 副教授 电子邮箱: xiawenchao@njupt.edu.cn
学术型硕士招生学科: (081000)信息与通信工程,(081000 )通信与信息系统(中外合作办学)
专业型硕士招生类别(领域): (085400)电子信息
photo

个人简介:

夏文超,博士,男,2020年被聘为南京邮电大学校长专聘副教授。已入选中国科协青托人才工程、江苏省科协青托人才工程、江苏省“科技副总”、2025&2024全球前2%顶尖科学家榜单等。目前担任物联网研究院副院长、通信技术研究所副所长。

学习经历:2014年和2019年在南京邮电大学分别获得学士学位和博士学位。2017-2020年期间先后到访过新加坡、美国、英国等多个国家进行学术交流。

学术成果:先后发表高水平论文80余篇,授权国家发明专利40余项。荣获IEEE GLOBECOM最佳论文奖(排名第1)、江苏省优秀博士学位论文、中国通信学会优秀博士学位论文、2024年全国物联网技术与应用大会-物联网领域优秀科技成果、IEEE JC&S最佳论文奖、中国通信学会2022年度信息通信领域优秀科技论文等学术荣誉。

科技奖励:曾获得中国通信学会科技奖二等奖(排名第1)、中国无线电协会科技奖二等奖(排名第1)、中国电子学会科技奖二等奖(排名第4)、江苏省通信学会科技奖(排名第1)等科技奖项。

项目经历:主持了国家自然科学基金青年项目、中国博士后基金项目、江苏省高校自然科学基金项目、南京市留学人员科创项目等,以课题/子课题主持人身份参与了国家重点研发计划、国家自然科学基金重大研究计划重点和集成项目、江苏省前沿引领项目、江苏省重大专项等。

指导学生获奖:中国国际大学生创新大赛金奖、全国3S设计大赛一等奖、第十八届“挑战杯”全国大学生课外学术科技作品竞赛江苏省选拔赛特等奖、江苏大学生创新大赛二等奖、中国机器人及人工智能大赛省一等奖、全国青年科普创新实验暨作品大赛三等奖、中国扬州5G视觉机器大赛优秀项目奖、“创共体”杯前沿科技创新大赛“先进通信+”主题赛全国总决赛三等奖等。







研究领域:

当前研究方向主要包括:

通感算协同技术:基于蜂MIMO通信、雷达技术、边缘计算、深度学习等多种技术的综合运用,研究通感一体化、云边协同调度、感算融合等,实现通信-感知-计算的相互赋能。

群智协同技术:面向泛在终端与海量数据,基于分布式学习、大数据、人机交互、无线网络等多种相关技术的综合运用,研究群体感知、知识构建与决策优化等,从而提高群体智能。














科研项目:

主持了国家自然科学基金青年项目、中国博士后基金项目、江苏省高校自然科学基金项目、南京市留学人员科创项目等,以课题/子课题主持人身份参与了国家重点研发计划、国家自然科学基金重大研究计划重点和集成项目、江苏省前沿引领项目、江苏省重大专项等。







代表性学术成果:

部分学术研究成果列表如下:

[1]     W. Xia, Y. Zhu, L. De Simone, T. Dagiuklas, K. -K. Wong and G. Zheng, “Multi-Agent Collaborative Learning for UAV Enabled Wireless Networks,” IEEE Journal on Selected Areas in Communications, vol. 40, no. 9, pp. 2630-2642, Sept. 2022.

[2]     W. Xia, W. Wen, K. -K. Wong, T. Q. S. Quek, J. Zhang and H. Zhu, "Federated-learning-based client scheduling for low-latency wireless communications," IEEE Wireless Communications, vol. 28, no. 2, pp. 32-38, Apr. 2021.

[3]     W. Xia, T. Q. S. Quek, K. Guo, W. Wen, H. H. Yang and H. Zhu, “Multi-Armed Bandit Based Client Scheduling for Federated Learning,” IEEE Transactions on Wireless Communications, vol. 19, no. 11, pp. 7108-7123, Nov. 2020.

[4]     W. Xia, J. Zhang, T. Q. S. Quek, S. Jin and H. Zhu, “Mobile edge cloud-based industrial Internet of Things: Improving edge intelligence with hierarchical SDN controllers,” IEEE Vehicular Technology Magazine, vol. 15, no. 1, pp. 36-45, Mar. 2020.

[5]     W. Xia, G. Zheng, Y. Zhu, J. Zhang, J. Wang, and A. P. Petropulu, “A deep learning framework for optimization of MISO downlink beamforming,” IEEE Transactions on Communications, vol. 68, no. 3, pp. 1866-1880, Mar. 2020.

[6]     W. Xia, G. Zheng, K. Wong and H. Zhu, “Model-driven beamforming neural networks,” IEEE Wireless Communications, vol. 27, no. 1, pp. 68-75, Feb. 2020.

[7]     W. Xia, T. Q. S. Quek, J. Zhang, S. Jin, and H. Zhu, “Programmable hierarchical C-RAN: From task scheduling to resource allocation,” IEEE Transactions on Wireless Communications, vol. 18, no. 3, pp. 2003–2016, Mar. 2019.

[8]     W. Xia, J. Zhang, T. Q. S. Quek, S. Jin, and H. Zhu, “Power minimization based joint task scheduling and resource allocation in downlink C-RAN,” IEEE Transactions on Wireless Communications, vol. 17 no. 11, pp. 7268-7280, Nov. 2018.

[9]     W. Xia, J. Zhang, T. Q. S. Quek, S. Jin, and H. Zhu, “Joint optimization of fronthaul compression and bandwidth allocation in H-CRAN with large system analysis,” IEEE Transactions on Communications, vol. 66, no. 12, pp. 6556-6569, Dec. 2018.

[10] W. Xia, J. Zhang, S. Jin, C.-K. Wen, F. Gao, and H. Zhu, “Large System Analysis of Resource Allocation in Heterogeneous Networks with Wireless Backhaul,” IEEE Transactions on Communications, vol. 65, no. 11, pp. 5040–5053, Nov. 2017.

[11] W. Xia, J. Zhang, Shi Jin, and H. Zhu, “Delay-based user association in heterogeneous networks with backhaul,” China Communications, vol. 14, no. 10, pp. 130-141, Oct. 2017.

[12] W. Xia, X. Zhang, G. Zheng, J. Zhang, S. Jin, and H. Zhu, “The Interplay Between Artificial Intelligence and Fog Radio Access Networks,” China Communications, vol. 17, no. 8, pp. 1-13, Aug. 2020.封面论文

[13] Y. Duan, J. Zhang, W. Xia, and H. Zhu, “Energy efficiency of downlink C-RAN with edge caching and fronthaul compression,” IEEE Communications Letters, vol. 22, no. 12, pp. 2527-2530, Dec. 2018.

[14] H. Huang, Y. Peng, J. Yang, W. Xia, and G. Gui, “Fast beamforming design via deep learning,” IEEE Transactions on Vehicular Technology, vol. 69, no. 1, pp. 1065-1069, Jan. 2020. (高被引)

[15] J. Zhang, W. Xia, M. You, G. Zheng, S. Lambotharan, and K. Wong, “Deep learning enabled optimization of downlink beamforming under per-antenna power constraints: Algorithms and experimental demonstration,” IEEE Transactions on Wireless Communications, vol. 19, no. 6, pp. 3738-3752, June 2020.

[16] K. Guo, R. Gao, W. Xia and T. Q. S. Quek, “Online learning based computation offloading in MEC systems with communication and computation dynamics,” IEEE Transactions on Communications, vol. 69, no. 2, Feb. 2021.

[17] B. Xu, W. Xia, J. Zhang, T. Q. S. Quek and H. Zhu, “Online client scheduling for fast federated learning,” IEEE Wireless Communications Letters, vol. 10, no. 7, pp. 1434-1438, July 2021.

[18] B. Xu, W. Xia, W. Wen, P. Liu, H. Zhao, and H. Zhu, “Adaptive hierarchical federated learning over wireless networks,” IEEE Transactions on Vehicular Technology, vol. 71, no. 2, pp. 2070-2083, Feb. 2022.

[19] Y. Zhang, W. Xia, G. Zheng, H. Zhao, L. Yang, and H. Zhu, “Secure transmission in cell-free massive MIMO with low-resolution DACs over Rician fading channels,” IEEE Transactions on Communications, vol. 70, no. 4, pp. 2606-2621, Apr. 2022.

[20] Y. Zhang, W. Xia, H. Zhao, W. Xu, K.-K. Wong, and L. Yang, “Cell-free IoT networks with SWIPT: performance analysis and power control,” IEEE Internet of Things Journal, vol. 9, no. 15, pp. 13780-13793, Aug. 2022.

[21] H. Zhang, Z. Wang, W. Xia, Y. Ni and H. Zhao, “Weighted adaptive KNN algorithm with historical information fusion for fingerprint Positioning,” IEEE Wireless Communications Letters. vol. 11, no. 5, pp. 1002-1006, May 2022.

[22] Y. Zhang, H. Zhao, W. Xia, J. Zhang, L. Yang and H. Zhu, “Wireless-Powered Cell-Free Massive MIMO with Superimposed Pilot Transmission,” IEEE Communications Letters, vol. 26, no. 7, pp. 1688-1692, July 2022.

[23] W. Wen, Z. Chen, H. H. Yang, W. Xia, and T. Q. S. Quek, “Joint scheduling and resource allocation for hierarchical federated edge learning,” IEEE Transactions on Wireless Communications, vol. 21, no. 8, pp. 5857-5872, Aug. 2022.

[24] Y. Zhang, H. Zhao, W. Xia, F. Gao, L. Yang and H. Zhu, “Superimposed Pilot Transmission in Cell-Free Massive MIMO With Non-Ideal RF Responses,” IEEE Transactions on Vehicular Technology, 2022.

[25] S. Yang, J. Zhang, W. Xia, Y. Ren, H. Yin and H. Zhu, “A Unified Framework for Distributed RIS-Aided Downlink Systems Between MIMO-NOMA and MIMO-SDMA,” IEEE Transactions on Communications, vol. 70, no. 9, pp. 6310-6324, Sept. 2022.

[26] S. Yang, J. Zhang, W. Xia, H. Gao and H. Zhu, “Joint Power and Discrete Amplitude Allocation for STAR-RIS-aided NOMA System,” IEEE Transactions on Vehicular Technology, 2022.

[27] C. Zhang, X. Sun, W. Xia, J. Zhang, H. Zhu and X. Wang, “Deep Learning Based Double-Contention Random Access for Massive Machine-Type Communications,” IEEE Transactions on Wireless Communications, 2022.

[28] X. Zhou, W. Xia, Q. Zhang, J. Zhang and H. Zhu, “Power Allocation of Superimposed Pilots for URLLC with Short-Packet Transmission in IIoT,” IEEE Wireless Communications Letters, 2022.


指导的优秀研究生代表:

包*宇,2025届本科毕业,英国布里斯托大学博士offer;

李*博,2025届本科毕业,香港中文大学(深圳)硕士offer;

李*泽,2025届本科毕业,直博南京邮电大学;

*欢,2025届博士毕业,亚信科技offer

陈*捷,2025届博士毕业,紫金山实验室博后;

周*光,2025届博士毕业,广西省移动offer

娄*良,2026届博士毕业,山东大学博后;

刘*欣,2026届本科毕业,保研东南大学;

*露,2026届本科毕业,保研东南大学;

仇*雯,2026届本科毕业,保研北京邮电大学;

沈*瑶,2026届本科毕业,保研南京邮电大学;

王*航,2026届本科毕业,南洋理工大学硕士offer

史*玥,2025届硕士毕业,荣耀南京offer