个人简介
戚楠，工学博士，南京航空航天大学电子信息工程学院副教授，硕士生导师，研究方向为空天地一体化无线通信网络、通信博弈决策、通信抗干扰、高能效无线通信资源规划与决策等。
目前主持国家自然科学青年基金、江苏省自然科学基金青年基金、中央高校基本科研业务费青年科技创新基金、空中交通管理系统与技术国家重点实验室开放基金和多项实验室开放基金项目，作为骨干深度参与了国家重点研发计划专项项目子课题、国家自然科学基金重点基金子课题、ZF项目“无人ZZ平台用频ZZJC技术”。
课题组主要利用凸优化、博弈论、人工智能理论解决通信资源智能决策问题，如“基于分层推理的通信资源智能博弈优化”、“面向XX空域管控的XX集群频谱规划研究”、国家重点研发计划专项项目子课题“数据与模型协同驱动的智能边缘网络”、国家自然科学基金重点基金子课题“大规模无人机自组网分层信道群智接入”、面向高能效的无人机群移动中继服务系统分层优化研究、通信与计算融合的无人机传输网络资源块优化理论与方法等。
国际专利：
[P01]Qi Nan, Huang Zanqi, Jia Luliang, Ye Diliao, Wu Qihui, Li Xiaojie, Liu Yijia, Wang Wei, “Intelligent dynamic frequency spectrum anti-jamming system and method of joint network link level,” PCT专利, 申请号：2020115031116, 申请日：2020-12-18
[P02]Qi Nan, Huang Zanqi, Ye Diliao, Jia Luliang, Su Yueyue, Wang Kewei, Wang Wei, Liu Yijia, “Unmanned Aerial Vehicle (UAV) Task Cooperation Method Based On Overlapping Coalition Formatio(OCF) Game,” 巴黎公约, 申请号：17/579,610, 申请日：2022-01-20
教育经历
[1] 2013.9-2015.9瑞典皇家理工学院联合培养博士生
专利
[1] 一种联合轨迹与频谱实现无人机抗干扰的方法：
[2] 一种基于分层匹配博弈的集群通信用频决策方法：
[3] 一种基于对数线性学习算法的通信对抗用频决策优化方法：
[4] 基于干扰反制Stackelberg博弈的功率控制方法：
[5] 高能效的无人机中继航迹规划系统：
[6] 一种面向自由信道的全双工无人机中继通信方法：
[7] 基于双层网络编码的高能效协作中继网络传输方法：
[8] 无线携能双向中继网络中面向用户公平性的容量最大化传输方法：
科研项目
[1] 国家自然科学基金青年基金（主持）
[2] 国家自然科学基金重点项目“大规模无人机集群智能自组网理论与技术研究”（第二负责人）
[3] 江苏省自然科学基金青年基金（主持）
[4] ZBA重点实验室开放基金“面向战术空域管控的作战集群频谱规划研究”（主持）
[5] 中央高校基本科研业务费青年科技创新基金（主持）
[6] 天地一体频谱认知智能实验室开放基金（主持）
[7] 空中交通管理系统与技术国家重点实验室开放基金（主持）
[8] 面向航空航天智能设计与制造的信息工程创新人才培养模式研究与实践
授课信息
通信原理 /2020-2021 /春学期 /56课时 /3.5学分 /04203280
电子信息类科研素养 /2020-2021 /秋学期 /16课时 /0.0学分 /04002050
通信原理 /2019-2020 /秋学期 /56课时 /3.5学分 /04203280
通信原理 /2019-2020 /春学期 /56课时 /3.5学分 /04203280
通信原理 /2018-2019 /春学期 /56课时 /3.5学分 /04203280
获奖信息
[1] 南京航空航天大学2019年大学生社会实践“优秀指导教师”
[2] 2020年3S杯全国大学生物联网技术与应用“三创”大赛全国二等奖
[3] 2018年第四届3S杯全国大学生物联网技术与应用“三创”大赛全国三等奖
[4] 2020年“兆易创新杯”第十六届中国研究生电子设计竞赛华东赛区三等奖
[5] 大学生创新训练项目国家级结题优秀
[6] 大学生创新训练项目省部级结题优秀
[7] 2021年本科毕业设计校优
[8] 2019年本科毕业设计校优
近期论文
查看导师新发文章
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[J24]Nan Qi, Zanqi Huang, Fuhui Zhou, Qingjiang Shi, Qihui Wu, Ming Xiao, An Overlapping Coalition Formation Approach to Coordinated Task Allocation in Heterogeneous UAV Networks[J].IEEE Transactions on Mobile Computing, under major revision,2022.
[J23]Luliang Jia, Nan Qi, Feihuang Chu, Shengliang Fang, Ximing Wang, and Shuo Feng, "Game-theoretic Learning Anti-jamming Approaches in Wireless Networks". IEEE Communications Magazine, 2022.
[J22]Yueyue Su,Nan Qi,Zanqi Huang,Rugui Yao,Luliang Jia,"Cooperative Anti-Jamming for UAV Networks: A Local Altruistic Game Approach".China communication,2022.
[J21]Nan Qi, Wei Wang, Diliao Ye, Mei Wang, Theodoros A. Tsiftsis, Rugui Yao，"Energy-efficient full-duplex UAV relaying networks: Trajectory design for channel-model-free scenarios," in ETRI journal, vol. 43, pp. 436-446, 2021.
[J20]Jiaxin Chen， Qihui Wu， Yuhua Xu， Nan Qi，Xin Guan， Yuli Zhang， Zhen Xue, "Joint Task Assignment and Spectrum Allocation in Heterogeneous UAV Communication Networks: A Coalition Formation Game-Theoretic Approach," in IEEE Transactions on Wireless Communications, vol. 20, no. 1, pp. 440-452, Jan. 2021.
[J19]Nan Qi, Wei Wang, Fuhui Zhou, Luliang Jia, Qihui Wu, Shi Jin, and Ming Xiao, "Two Birds with One Stone: Simultaneous Jamming and Eavesdropping with the Bayesian-Stackelberg Game." IEEE Transactions on Communications, 2021. (Published). [Online].Available: https://ieeexplore.ieee.org/document/9535143.
[J18]Qi Nan, Wei Wang, Ming Xiao, Luliang Jia, Shi Jin, Qiuming Zhu, and Theodoros A. Tsiftsis. "A learning-based spectrum access Stackelberg game: Friendly jammer-assisted communication confrontation." IEEE Transactions on Vehicular Technology, vol. 70, no. 1, pp. 700-713, 2021.
[J17]Jiaxin Chen, Qihui Wu, Yuhua Xu, Nan Qi, Tao Fang, Luliang Jia, Chao Dong, "A Multi-leader Multi-follower Stackelberg Game for Coalition-based UAV MEC Networks," IEEE Wireless Communications Letters, 2021.
[J16]Su, Zhe, Nan Qi, Yongjie Yan, Zhiyong Du, Jiaxin Chen, Zhibin Feng, and Qihui Wu. "Guarding legal communication with smart jammer: Stackelberg game based power control analysis." China Communications, vol. 18, no. pp. 126-136, 2021.
[J15]J. Chen, Q. Wu, Y. Xu, N. Qi, T. Fang and D. Liu, "Spectrum Allocation for Task-Driven UAV Communication Networks Exploiting Game Theory," IEEE Wireless Communications, vol. 28, no. 4, pp. 174-181, 2021.
[J14]Nan Qi, Mei. Wang, Wei. Wang, et al, “Energy-efficient Full-duplex UAV Relaying Networks: Trajectory Design for Channel Model-free Scenarios”, ETRI Journal, 2021.
[J13]Z. Su, N. Qi, L. Jia et al, “End-to-End Multi-Domain and Multi-Step Jamming Prediction in Wireless Communications”, Electronics Letters, vol. 57, no. 1, pp. 378-380,2021.
[J12]N. Qi, N. I. Miridakis, M. Xiao, T. A. Tsiftsis, R. Yao and S. Jin, "Traffic-Aware Two-Stage Queueing Communication Networks: Queue Analysis and Energy Saving," IEEE Transactions on Communications, vol. 68, no. 8, pp. 4919-4932, Aug. 2020.
[J11]Nan Qi, Mei. Wang, Wei. Wang, T. A. Tsiftsis, R. Yao and G. Yang, “Energy Efficient Full-Duplex UAV Relaying Networks Under Load-Carry-and-Delivery Scheme", IEEE Access, vol. 8:74349-74358,2020.
[J10]Chen, Jiaxin, Ping Chen, Yuhua Xu, Nan Qi, Tao Fang, Chao Dong, and Qihui Wu., "Joint Channel and Link Selection in Formation-keeping UAV Networks: A Two-way Consensus Game," IEEE Transactions on Mobile Computing. 2020. (Published). [Online].Available: https://ieeexplore.ieee.org/document/9311799
[J09]Liu, Gang, Nan Qi, Jiaxin Chen, Chao Dong, and Zanqi Huang. "Enhancing clustering stability in VANET: A spectral clustering-based approach", China Communications, vol.17, no. 4: 140-151, 2020.
[J08] Q. Qin, R. Yao, Y. Zhang, N. Qi and X. Zuo, "Deep Learning Aided Power Allocation in An Energy Harvesting Untrusted Relay Network," IEEE 92nd Vehicular Technology Conference (VTC2020-Fall), pp. 1-5, 2020.
[J07]N. Qi, M. Xiao, T. A. Tsiftsis, R. Yao and S. Mumtaz, "Energy Efficient Two-Tier Network-Coded Relaying Systems Considering Processing Energy Costs," IEEE Transactions on Vehicular Technology, vol. 68, no. 1, pp. 999-1003, Jan. 2019.
[J06]Chen J, Xu Y, Nan Qi, et al. Interference-Aware Online Distributed Channel Selection for Multicluster FANET: A Potential Game Approach[J]. IEEE Transactions on Vehicular Technology, 2019, 68(4):3792-3804.
[J05] R. Yao, Y. Zhang, S. Wang, N. Qi, N. I. Miridakis and T. A. Tsiftsis, "Deep Neural Network Assisted Approach for Antenna Selection in Untrusted Relay Networks," IEEE Wireless Communications Letters , vol. 8, no. 6, pp. 1644-1647, Dec. 2019.
[J04] R. Yao, Y. Lu, T. A. Tsiftsis, N. Qi, T. Mekkawy and F. Xu, "Secrecy Rate-Optimum Energy Splitting for an Untrusted and Energy Harvesting Relay Network," IEEE Access, vol. 6, pp. 19238-19246, 2018.
[J03]T. Mekkawy, R. Yao, N. Qi and Y. Lu, "Secure Relay Selection for Two Way Amplify-and-Forward Untrusted Relaying Networks," IEEE Transactions on Vehicular Technology, vol. 67, no. 12, pp. 11979-11987, Dec. 2018.
[J02]N. Qi, M. Xiao, T. A. Tsiftsis, L. Zhang, M. Skoglund and H. Zhang, "Efficient Coded Cooperative Networks With Energy Harvesting and Transferring," IEEE Transactions on Wireless Communications, vol. 16, no. 10, pp. 6335-6349, Oct. 2017.
[J01]N. Qi, M. Xiao, T. A. Tsiftsis, M. Skoglund, P. L. Cao and L. Li, "Energy-Efficient Cooperative Network Coding With Joint Relay Scheduling and Power Allocation," IEEE Transactions on Communications, vol. 64, no. 11, pp. 4506-4519, Nov. 2016.
会议论文：
[C03]N. Qi, M. Wang, W. Wang, W.-J. Wang, T. A. Tsiftsis, R. Yao, and G. Yang, “Energy Efficient Two-Way Full-duplex UAV Relaying Networks Under Imperfect Channel State Information,” VTC2020-Fall, Victoria, BC Canada, 4-7 October, 2020.
[C02]N. Qi, N. I. Miridakis, T. A. Tsiftsis and R. Yao, "On the Fundamental Queue Analysis for Relay-assisted Two-stage Communication Networks,” IEEE Wireless Communications and Networking Conference Workshop (WCNCW), Marrakech, Morocco, 2019, pp. 1-6.
[C01]N. Qi, M. Xiao, T. A. Tsiftsis, L. Zhang, M. Skoglund and H. Zhang, "Efficient network-coded relaying systems with energy harvesting and transferring," IEEE International Conference on Communications (ICC), 2017, pp. 1-6.
[1]An Overlapping Coalition Formation Approach to Coordinated Task Allocation in Heterogeneous UAV Networks[J].IEEE Transactions on Mobile Computing, under major revision,2021
[2]Game-theoretic Learning Anti-jamming Approaches in Wireless Networks[J].IEEE Communications Magazine,2021
[3]Two Birds with One Stone: Simultaneous Jamming and Eavesdropping with the Bayesian-Stackelberg Game[J].IEEE Transactions on Communications, accepted,2021
[4]Traffic-Aware Two-Stage Queueing Communication Networks: Queue Analysis and Energy Saving[J].IEEE Transactions on Communications,2020
[5]A Learning-Based Spectrum Access Stackelberg Game: Friendly Jammer-Assisted Communication Confrontation[J].IEEE Transactions on Vehicular Technology,2020
[6]A Game-Theoretic Perspective on Resource Management for Large-scale UAV Communication Networks[J].China communications,2021
[7]Secure Relay Selection for Two Way Amplify-and-Forward Untrusted Relaying Networks
[8]Enhancing Clustering Stability in VANET: a Spectral Clustering Based Approach
[9]Joint Channel and Link selection in Formation-keeping UAV Networks: A Two-way Consensus Game[J].IEEE Transactions on Mobile Computing,2020
[10]Joint Task Assignment and Spectrum Allocation in Heterogeneous UAV Communication Networks: A Coalition Formation Game-Theoretic Approach[J].IEEE Transactions on Wireless Communications,2021
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