贝尔学院
贝尔学院
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张军
发布时间: 2024-04-18 访问次数: 10



姓名:

张军

性别:

导师类型:

博导

技术职称:

教授

邮箱:

zhangjun@njupt.edu.cn

学院:

通信与信息工程学院

专业:

信息与通信工程

研究方向:

未来移动通信理论与关键技术

教育背景:

1、东南大学移动通信全国重点实验室、信息与通信工程专业博士

2、新加坡科技与设计大学博士后


研究方向及主要成果 

目前研究方向包括:大规模或超大规模MIMO传输方法、智能超表面辅助无线传输方法、通感一体化无线传输方法、无人机辅助无线通信、人工智能辅助无线通信、毫米波/太赫兹无线通信等相关方向的无线空口传输方法(包括发射机和接收机设计)和无线资源分配与优化。


科研项目:

 1、国家自然科学基金面上项目(编号:62071247),近场与空间非平稳的超大规模MIMO无线传输理论与方法,在研,主持。

2、江苏省重点研发计划(编号:BE2023022-1),面向6G的模型驱动智能自适应无线传输关键技术研发,在研,主持(子课题)。

 3、国家重点研发计划“宽带通信和新型网络”专项项目(编号:2020YFB1804900),非对称毫米波亚毫米波大规模MIMO关键技术研究及系统验证,在研,主持(子课题)。


主要成果简介(论文/专利/竞赛等)

张军:南京邮电大学通信与信息工程学院、江苏省无线通信重点实验室、物联网研究院教授,博士研究生导师,博士毕业于东南大学移动通信国家重点实验室信息与通信工程专业,曾在新加坡科技与设计大学从事博士后研究。曾主持和参与国家重大专项、国家自然科学基金、省部级科研项目10余项,目前承担科技部国家重点研发计划、国家自然科学基金重大研究计划项目、国家自然科学基金促进海峡两岸科技合作联合基金项目、国家自然基金面上项目多项。在IEEE J. Sel. Areas Commun.IEEE Trans. on Wireless Commun.IEEE Trans. on Sig. Proc.IEEE Trans. on Commun.等通信领域国际顶级刊物和ISITICCGLOBECOM等通信领域重要国际会议发表论文100余篇,其中SCI收录50余篇。申请国家发明专利70余项,已授权30余项。曾入选江苏省青蓝工程中青年学术带头人(2022年)和优秀青年骨干教师(2018年),曾获2016IEEE GLOBECOM2017APCC2022JC&S2023IEEE/CIC ICCC、以及2023WCSP国际会议最佳论文奖。曾担任IEEE Commun. Letters编委以及JSACTWCTSPTComTVT等国际权威期刊及许多重要国际会议的审稿人。协助指导的博士生获2020年江苏省优秀博士学位论文和2022年度中国通信学会优秀博士论文,指导的硕士生多次获校级优秀硕士学位论文。


代表性著作(近3年部分论文)

  1. Jun Zhang, Xiaojun Huang, Yu Han, Kaizhe Xu, Shi Jin, and Shaodan Ma, “Transmission design for hybrid RIS and DMA assisted MIMO multiple-access channel over spatially correlated Rician fading,” IEEE Transactions on Communications, accepted, 2024.

  2. Shizhao Yang, Jun Zhang, Yongxu Zhu, Shi Jin, and Chau Yuen, “The application of distributed RIS to massive access MISO systems: NOMA or OMA?” IEEE Transactions on Wireless Communications, accepted, 2024.

  3. Xingguang Zhou, Wenchao Xia, Jun Zhang, Wanli Wen, and Hongbo Zhu, “Joint optimization of frame structure and power allocation for URLLC in short blocklength regime,” IEEE Transactions on Communications, vol. 71, no. 12, pp. 7333-7346, Dec., 2023.

  4. Daohua Liu, Jue Wang, Ye Li, Yu Han, Rui Ding, Jun Zhang, Shi Jin, and Tony Q. S. Quek, “Location-based visible region recognition in extra-large massive MIMO systems,” IEEE Transactions on Vehicular Technology, vol. 72, no. 6, pp. 8117-8121, Jun., 2023.

  5. Qi Zhang, Jun Zhang, and Shi Jin, “Grant-free random access in cell-free massive MIMO systems with UE detection thresholds: A stochastic geometry approach,” IEEE Transactions on Vehicular Technology, vol. 72, no. 6, pp. 8186-8191, Jun., 2023.

  6. Changwei Zhang, Xinghua Sun, Wenchao Xia, Jun Zhang, HongboZhu, and Xianbin Wang, “Deep learning based double-contention random access for massive machine-type communications,” IEEE Transactions on Wireless Communications, vol. 22, no. 3, pp. 1794 - 1807, Mar., 2023.

  7. Huan Zhou, Wenchao Xia, Haitao Zhao, Jun Zhang, Yiyang Ni, and Hongbo Zhu, “Continual learning based fast beamforming adaptation in downlink MISO systems,” IEEE Wireless Communications Letters, vol. 12, no. 1, pp. 36-39, Jan., 2023.

  8. Shizhao Yang, Jun Zhang, Wenchao Xia, Hui Gao, and Hongbo Zhu, “Joint power and discrete amplitude allocation for STAR-RIS-aided NOMA system,” IEEE Transactions on Vehicular Technology, vol. 71, no. 12, pp. 13382-13386, Dec., 2022.

  9. Shu Cai, Heshuai Qu, Jun Zhang, Xiaoye Shi, and Hongbo Zhu, “Symbol-level precoding design in IRS-aided secure wireless communication systems,” IEEE Wireless Communications Letters, vol. 11, no. 11, pp. 2315 - 2319, Nov., 2022.

  10. Xingguang Zhou, Wenchao Xia, Qi Zhang, Jun Zhang, and Hongbo Zhu, “Power allocation of superimposed pilots for URLLC with short-packet transmission in IIoT,” IEEE Wireless Communications Letters, vol. 11, no. 11, pp. 2365 - 2369, Nov., 2022.

  11. Shizhao Yang, Jun Zhang, Wenchao Xia, Yuan Ren, Hao Yin, and Hongbo 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, Sep., 2022.

  12. Jiacheng Lu, Jun Zhang, Shu Cai, Bin Li, Xiaowei Zhu, and Wei Hong, “Downlink wideband channel estimation for asymmetrical full-digital system,” IEEE Wireless Communications Letters, vol. 11, no. 9, pp. 1830 - 1834, Sep. 2022.

  13. Xingyu Zhou, Jing Zhang, Chen-Wei Syu, Chao-Kai Wen, Jun Zhang, and Shi Jin, “Model-driven deep learning-based MIMO-OFDM detector: Design, simulation, and experimental results,” IEEE Transactions on Communications, vol. 70, no. 8, pp. 5193-5207, Aug., 2022.

  14. Yao Zhang, Wenchao Xia, Haitao Zhao, Jun Zhang, Longxiang Yang, and Hongbo Zhu, “Wireless-powered cell-free massive MIMO with superimposed pilot transmission,” IEEE Communication Letters, vol. 26, no. 7, pp. 1688 - 1692, Jul. 2022.

  15. Yulun Cheng, Jun Zhang, Jing Zhang, Haitao Zhao, Longxiang Yang, and Hongbo Zhu, Small cell sleeping and association for energy harvesting aided cellular IoT with full duplex self-backhauls: A game-theoretic approach,” IEEE Internet of Things Journal, vol. 9, no. 3, pp. 2304-2318, Feb., 2022.

  16. Kaizhe Xu, Jun Zhang, Xi Yang, Shaodan Ma, and Guanghua Yang, “On the sum-rate of RIS-assisted MIMO multiple-access channels over spatially correlated Rician fading,” IEEE Transactions on Communications, vol. 69, no. 12, pp. 8228-8241, Dec., 2021.  

  17. Shizhao Yang, Jun Zhang, Yuan Ren, Hao Yin, and HongboZhu, Adaptive power allocation for wireless-powered FD-NOMA system with cooperation versus non-cooperation,” IEEE Transactions on Vehicular Technology, vol. 70, no. 10, pp. 10395-10408, Oct., 2021.

  18. Jue Wang, Ye Li, Yuyu Jia, Jun Zhang, Shi Jin, and Tony Q. S. Quek, Wireless energy transfer in extra-large massive MIMO Rician channels,” IEEE Transactions on Wireless Communications, vol. 20, no. 9, pp. 5628-5641, Sep., 2021.

  19. Jun Zhang, Jie Liu, Shaodan Ma, Chao-Kai Wen, and Shi Jin, “Large system achievable rate analysis of RIS-assisted MIMO wireless communication with statistical CSIT,” IEEE Transactions on Wireless Communications, vol. 20, no. 9, pp. 5572-5585, Sep., 2021.

  20. Wenchao Xia, Wanli Wen, Kai-Kit Wong, Tony Q. S. Quek, Jun Zhang, and Hongbo Zhu, “Federated learning-based client scheduling for low-latency wireless communications,” IEEE Wireless Communications, vol. 28, no. 2, pp. 32 - 38, Apr., 2021.