周福辉，国家优青，南京航空航天大学电子信息工程学院教授、博导，“面向航空航天的协同智能信息处理学科”111国家创新引智基地副主任，IEEE Senior Member。一直从事电磁空间多域资源认知决策理论与方法的研究，至今已在国际通信权威期刊或会议发表论文200余篇，入选ESI热点和高被引论文14篇，获得IEEE Globecom、IEEE/CIC ICCC等国际会议最佳论文3篇，撰写专著4部，申请发明专利50余项，已授权30余项；参与国际标准和白皮书5项；作为主持人或课题负责人至今承担了包括国家重点研发、国家重点研发项目课题、国家自然科学基金优青、重点、面上和青年基金、江西省自然科学杰出青年基金等20余个国家级或省部级课题，科研经费累计超过2000万元。已入选斯坦福全球顶尖科学家榜单、爱思唯尔高被引学者、IEEE通信学会亚太地区杰出青年学者奖、国际无线电联盟青年科学家奖、中国科协“青年人才托举工程”、“江苏省333人才培养工程”、“江西省杰出青年基金”、“江西省高层次人才”、南京航空航天大学“长空英才”等人才计划，荣获江西省自然科学奖一等奖，E&T全球创新奖、日内瓦国际发明展金奖、中国发明协会发明创业奖创新奖一等奖等省部级和国际奖励。目前，担任国际通信权威期刊IEEE TCOM、IEEE Systems Journal、IEEE WCL等通信领域权威期刊编委，作为会议共同主席（co-chair）组织了IEEE ICC Workshop 2019和IEEE Globecom Workshop。
主要研究方向：面向电磁频谱资源管控国家战略重大需求和6G智能通信前沿技术，系统性地展开相关基础理论、方法与应用研究，具体包括：
（1）电磁空间机器学习基础理论
（2）认知智能与知识图谱
（3）多域资源深度认知和智能决策
（4）频谱智能共享和动态接入
（5）认知语义通信与大模型推理
个人主页详见：
https://zhoufuhui1989.wixsite.com/new1,
https://scholar.google.com/citations?user=pH63LBkAAAAJ&hl=en
欢迎优秀本科生，有志于攻读硕士和博士学位的优秀学生积极联系。本人指导的多位研究生、本科生在国际权威期刊和会议发表了多篇论文，并获得国家奖学金、优秀学业奖学金、研究生创新基金、优秀毕业论文、优秀毕业生等多项奖励与荣誉。十分欢迎英语写作能力强、数学理论功底扎实或编程能力强和具有电子竞赛等经历的优秀学生。联系方式：zhoufuhui@ieee.org, zhoufuhui@nuaa.edu.cn；办公室：电子信息工程学院202
研究生招生：每年招收学术博士1-2名，工程博士1-2名；硕士3-5名（包括保研名额）;
双985调剂学生不限名额。
本科生招生：每年招收3-5名学生参加大学生科技创新等科创项目。
一、教育经历
· 2012.09-2016.06, 西安电子科技大学，军事通信学，博士，导师：李赞教授
· 2015.09-2016.03, 英属哥伦比亚大学，电子与计算机工程，博士联合培养
· 2011.09-2012.07, 西安电子科技大学，通信与信息系统，硕博连读硕士阶段，导师：
李赞教授；
· 2006.09-2010.07, 华东交通大学，信息工程，大学本科。
二、工作经历
· 2019.11- 至今, 南京航空航天大学，教授。
· 2019.08-2019.10, 犹他州立大学，Senior Research Fellow, 合作导师：Rose Qingyang
Hu;
· 2018.12-2019.07, 南昌大学，特聘副教授；
· 2018.07-2018.11, 犹他州立大学，Senior Research Fellow, 合作导师：Rose Qingyang
Hu;
· 2017.08-2018.06, 犹他州立大学，Research Fellow, 合作导师：Rose Qingyang Hu;
· 2016.07-2017.07, 南昌大学，讲师；
三、代表性科研项目
1. 国家优秀青年科学基金，无线网络多域资源非凸优化理论，2023.01-2025.12，主持。
2. 国家重点研发课题，多系统复杂动态环境下频谱深度认知，427万，2021.01-2023.12，课
题负责人，主持。
3. 国家自然科学基金重点项目，海洋短波宽带认知智能信息传输机理研究，79.2万，2021.01
-2025.12，南航负责人。
4. 国家自然科学基金面上项目，认知无人机网络的资源鲁棒管控理论与方法，64万，2021.01
-2024.12，主持。
5. “全域频谱感知”模型构建及优化仿真项目”，70万元，主持，2021.1-2021.06。
6. “6G无线通信网络的频谱深度认知方法”，2021年南京留学人员科技创新项目择优资助获获批
“优秀项目”，2021.01-2022.12，5.0万元，主持。
7. 中国科协通信学会青年托举，认知网络资源鲁棒优化基础理论与关键技术，45万，2019.01
-2021.12，主持。
8. 国家自然科学青年基金，非线性能量收集模型下新型认知无线电的多目标资源鲁棒优化，29
万，2018年1月-2020年12月，主持。
9. 江西省自然科学杰出青年基金，基于非正交多址接入机制的认知无线电资源分配关键技术研
究，2018年1月-2020年12月，主持。
10. 江西省青年科学基金，NOMA认知无线充电网络的能效资源分配策略设计研究，2017年月-20
19年12月，主持。
11. 中国博士后科学基金，能量收集多天线认知网络的高安全无线传输技术研究，2017年2月-201
8年10月，主持。
12. 江西省博士后面上项目一等资助，非线性能量收集模型下多播认知无线电的资源鲁棒优化技
术研究，2016年11月-2018年10月，项目编号：2017KY04，主持
13. 西安电子科技大学ISN国家重点实验室开放基金，基于NOMA机制认知无线电的鲁棒资源优
化技术研究，2018.1-2019.12月。项目编号：ISN19-08，主持。
14. 江西省博士后研究人员日常经费，基于非正交多址接入机制认知无线电网络的资源优化技术
研究，主持。
15. 陕西省信息通信网络及安全重点实验室开放课题基金（重点项目），无线充电边缘计算网络
的计算能效优化关键技术，2018年6月-2020年6月，主持。
16. 国家科技重大专项，新一代宽带无线移动通信网，传感器网络电磁频谱监测关键技术研究，
2010年10月至2012年06月，参与。
四、代表性期刊与会议论文
期刊
[1]Qihui Wu, Tianchen Ruan, Fuhui Zhou, Yang Huang, Fan Xu, Shijin Zhao, Ya Liu, and Xuyang
Huang, “A unified cognitive learning framework for adapting to dynamic environment and tasks”,
IEEE Wireless Communications, vol. 28, no. 6, pp. 208-216, Dec. 2021. (Corresponding author)
[2] Xianfu Lei, Mingjian Wu, Fuhui Zhou, Xiaohu Tang, Rose Qingyang Hu, and Pingzhi Fan
“Reconfigurable intelligent surface-based symbiotic radio for 6G: Design, challenges, and
opportunities”, IEEE Wireless Communicatons, to be published, 2021.
[3] Hehao Niu, Zheng Chu, Fuhui Zhou, Zhengyu Zhu, Miao Zhang, and Kai Kit Wong, “Weighted
sum secrecy rate maximization using intelligent reflecting surface”, IEEE Transactions on
Communications, vol. 69, no. 9, pp. 6170-6184, Sept. 2021.
[4] Wei Wu, Fuhui Zhou, Baoyun Wang, Qihui Wu, Chao Dong, and Rose Qingyang Hu, “Unmanned
Aerial Vehicle Swarm-Enabled Edge Computing: Potential, Promising Technologies, and
Challenges,” IEEE Wireless Communications, to be published, 2021. （Corresponding author）
[5] Lu Yuan, Hao Zhang, Ming Xu, Fuhui Zhou*, and Qihui Wu, “A multi-scale CNN framework
for wireless technique classification in Internet of Things,” IEEE Internet of Things Journal, to
be published, 2021. （Corresponding author）
[6] Hehao Niu, Zheng Chu, Fuhui Zhou, Cunhua Pan, Derrick Wing Kwan Ng, Huan X. Nguyen,
“ Double Intelligent reflecting surface-assisted multiuser MIMO mmWave systems with hybrid
precoding”, IEEE Transactions on Vehicular Technology, vol. 71. no. 2, pp.1575-1587, Feb. 2022.
[7] Hehao Niu, Zheng Chu, Fuhui Zhou, Pei Xiao, and Naofal Al-Dhahir, “Simultaneous transmission
and reflection reconfigurable intelligent surface assisted MIMO systems”, IEEE Transactions on
Vehicular Technology, to be published, 2021.
[8] Hehao Niu, Zheng Chu, Fuhui Zhou, Zhengyu Zhu, Li Zhen, and Kai Kit Wong, “Robust design
for intelligent reflecting surface assisted wireless secrecy network,” IEEE Transactions on Wireless
Communications, to be published, 2021.
[9] Zheng Chu, Zhengyu Zhu, Xingwang Li, Fuhui Zhou, Li Zhen, and Naofal Al-Dhahir “Resource
allocation for IRS assisted wireless powered FDMA IoT networks”IEEE Internet of Things Journal,
to be published, 2021.
[10] 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, no. 12 vol. 69，pp.8013-8027, 2021.
[11] Hehao Niu, Zheng Chu, Fuhui Zhou, Zhengyu Zhu,“Simultaneous transmission and reflection recon-
figurable intelligent surface assisted secrecy MISO networks”,IEEE Communications Letters , 2021.
[12] Shuai Ma, Ruixin Yang, Xiong Deng, Xintong Ling, Xun Zhang, Fuhui Zhou, Shiyin Li, and Derrick
Wing Kwan Ng, “Spectral and energy efficiency of ACO-OFDM in visible light communication systems”,
IEEE Transactions on Wireless Communications, to be published, 2021.
[13] Hao Zhang, Lu Yuan*, Guangyu Wu, Fuhui Zhou, and Qihui Wu, “Automatic modulation classification
using involution based residual networks”, IEEE Wireless Communications Letters, vol. 10. no. 11,
pp. 2417-2420, Nov. 2021.
[14] Wei Wu, Zi Wang, Lu Yuan, Fuhui Zhou*, Fei Lang, Baoyun Wang, and Qihui Wu, “IRS-enhanced
energy detection for spectrum sensing in cognitive radio networks”, IEEE Wireless Communications
Letters, vol. 10, no. 10, pp. 2254-2258, Oct. 2021.
[15] Juanjuan Ren, Xianfu Lei, Panagiotis D. Diamantoulakis, Fuhui Zhou, Xiaohu Tang, and Octavia A.
Dobre, “NOMA for wireless-powered communication networks with buffered sources”, IEEE Transactions
on Vehicular Technology, vol. 70, no. 9, pp. 9088-91-2, Sept. 2021.
[16] Hao Zhang, Fuhui Zhou*, Qihui Wu, Wei Wu, and Rose Qingyang Hu, “A novel automatic modulation
classification scheme based on multi-scale networks”, IEEE Transactions on Cognitive Communications
and Networks, vol. 8,no. 1, pp. 97-110, March, 2022. (Corresponding author)
[17] Pei Li, Wei Wu, Lingyi Wang, Fuhui Zhou, Baoyun Wang, and Qihui Wu, “Graph neural network-
based scheduling for multi-UAV-enabled communications in D2D networks,” Digital Communications
and Networks, to be published, 2022.
[18] Guangyu Wu, Fuhui Zhou*, Guoru Ding, Qihui Wu, and Xiangyang Li,“An Efficient Heterogeneous
Edge-Cloud Learning Framework For Spectrum Data Compression”, IEEE Transactions on Mobile
Computing, to be published, 2022.(Corresponding author)
[19] Yun Shen, Yuben Qu, Chao Dong, Fuhui Zhou, and Qihui Wu, “Joint trainging and resource allocation
optimization for federated learning in a UAV swarm,” IEEE Internet of Things Journal, to be published, 2022.
[20] Yuhang Wu, Fuhui Zhou*, Wei Wu, Qihui Wu, Rose Qingyang Hu, and Kit Kat Wong, “Multi-
Objective Optimization for Spectrum and Energy Efficiency Tradeoff in IRS-Assisted CRNs with
NOMA,” IEEE Transactions on Wireless Communications, to be published, 2022. （Corresponding author）
[21] Wanming Hao, Fuhui Zhou*, Ming Zeng, Octavia A. Dobre, and Naofal Al-Dhahir, “Ultra Wide
Band THz IRS Communications: Applications, Challenges, Key Techniques, and Research Oppor-
tunities,” IEEE Network, to be published, 2022. （Corresponding author）
[22] Boyang Liu, Yiyao Wan, Fuhui Zhou*, Qihui Wu, and Rose Qingyang Hu，“Resource allocation
and trajectory design for MISO UAV-assisted MEC networks”, IEEE Transactions on Vehicular
Technology, no. vol. pp. , 2022. （Corresponding author）
[23] Y. Huang, C. Hao, Y. Mao, and F. Zhou, “Dynamic resource configuration for low-power IoT
networks: A multi-objective reinforcement learning method,” IEEE Communications Letter, to be
published, 2021.
[24] Z. Chu, Z. Zhu, and F. Zhou, M. Zhang, N. Al-Dhahir“Intelligent reflecting surface assisted
wireless powered sensor networks for Internet of Things” IEEE Transactions on Communications,
to be published, 2021.
[25] B. Jin, F. Zhou, X. Zhang, Q. Wu, and N. Al-Dhahir, “Radar target detection via GAMP: A sparse
recovery strategy off the grid”, IEEE Transactions on Vehicular Technology, to be published,
2021.
[26] Z. Tao, F. Zhou*, Y. Wang, X. Liu, and Q. Wu, “Resource allocation and trajectories design for
UAV-assisted jamming cognitive UAV networks”, China Communications, to be published, 2021.
(Corresponding author)
[27] Z. Wang, F. Zhou, Y. Wang, and Q. Wu, “Joint 3D trajectory and resource optimization for a
UAV-relay cognitive radio network”, China Communications, to be published, 2021.
[28] Q. Wang, F. Zhou, R. Q. Hu and Y. Qian, “Energy efficient robust beamforming and cooperative
jamming design for IRS-assisted MISO networks,” IEEE Transactions on Wireless
Communications, to be published, 2020.
[29] B. Liu, Y. Wan, F Zhou, Q. Wu, and R. Q. Hu, “Robust trajectory and beamforming design for
cognitive MISO UAV networks”, IEEE Wireless Communication Letters, to be published, 2020.
(Corresponding Author)
[30] Z. Jiang, C. Hao, Y. Huang, Q. Wu and F. Zhou, “Partially distributed channel and power
management based on reinforcement learning”, Journal of International Communications and
Networks, to be published, 2020.
[31] J. Li, X. Lei, P. D. Diamantoulakis, F Zhou, P. Sarigiannidis, and G. K. Karagiannidis,“Resource
allocation in buffer-aided cooperative non-orthogonal multiple access systems,” IEEE Trans.
Commun., to be published, 2020.
[32] X. Liu, Z. Chen, Y. Wang, F. Zhou, S. Ma, and R. Q. Hu, “Beamforming design for secure MISO
visible light communications networks with SLIPT” IEEE Trans. Commun., to be published,2020.
(Corresponding authors)
[33] X. Liu, Z. Chen, Y. Wang, F. Zhou, and S. Ma, “Robust artificial noise-aided beamforming for A
secure MISO-NOMA visible light communication system,” China Commun., to be published,2020.
[34] Y. Wang, L. Chen, Y. Zhou, X. Liu, F. Zhou, and Naofal Al-Dhahir, “Resource Allocation and
Trajectory Design in UAV-Assisted Jamming Cogntive Radio Networks” IEEE Transactions on
Cognitive Communications and Networks, to be published, 2020. (Corresponding Author)
[35] S. Ma, F. Zhang, H. Li, F. Zhou, Mohamed-Slim Alouini, and S. Li, “Aggregrated VLC-RF
systems: Achievable rates, optimal power allocation, and energy efficiency,” IEEE Trans. Wireless
Commun., to be published, 2020.
[36] W. Wu, X. Wang, F. Zhou, K. K Wong, C. Li, and B. Wang, “Resource allocation for enhancing
offloading security in NOMA-enabled MEC networks,” IEEE Systems Journal, to be published,
2020.
[37] S. Ma, R. Yang, Y. He, S. Lu, F. Zhou, Naofal Al-Dhahir and Shiyin Li, “Achieving channel
capacity of visible light communication,” IEEE Sys. J., to be published, 2020.
[38] Y. Zhou, F. Zhou, H. Zhou, D. W. K. Ng, and R. Q. Hu “Robust trajectory and transmit power
optimization for secure UAV-enabled cognitive radio networks,” IEEE Trans. Commun., to be
published, 2020. (Corresponding author)
[39] Y. Zhong, F. Zhou, Y. Wang, X. Deng, and N. Al-Dhahir, “Cooperative jamming aided secure
wireless powered communication networks: A game theoretical formulation,” IEEE Commun.
Lett., to be published, 2020. (Corresponding author)
[40] F. Zhou and R. Q. Hu, “Computation Efficiency Maximization in Wireless-Powered Mobile
Edge Computing Networks,” IEEE Trans. Wireless Commun., to be published, 2020.
[41] Z. Gao, Y. Wang, X. Liu, F. Zhou, and K. K. Wong, “FFDNet-based channel estimation for
massive MIMO visible light communication systems,” IEEE Commun. Lett., to be published,
2019. (Corresponding authors)
[42] X. Li, W. Wang, M. Zhang, F. Zhou, and N. Al-Dhahir, “Robust secure beamforming for SWIPT-
aided relay systems with full-duplex receiver and imperfect CSI,” IEEE Trans. Veh. Technol., Dec.
2019.
[43] J. Zhang, L. Zhou, F. Zhou, B.-C. Seet, H. Zhang, Z. Cai, and J. Wei, “Computation-Efficient
Offloading and Trajectory Scheduling for Multi-UAV Assisted Mobile Edge Computing,” IEEE
Trans. Veh. Technol., vol. 69, no. 1, pp. 1168-1172, Jan. 2020.
[44] Y. Zhou, F. Zhou, Y. Wu, R. Q. Hu, and Y. Wang, “Subcarrier assignment schemes based on Q-
learning in wideband cognitive radio networks,” IEEE Trans. Veh. Technol., vol. 69, no. 1, pp.
1168-1172, Jan. 2020. (Corresponding authors)
[45] D. Wang, F. Zhou and V. C. M. Leung, “ Primary privacy preserving with joint wireless power and
information transfer for cognitive radio networks,” IEEE Trans. Cogn. Commun. Netw., to be
published, 2018.
[46] W. Wu, F. Zhou, R. Q. Hu, and B. Wang, “Energy efficient resource allocation for Secure NOMA-
enabled mobile edge computing networks,” IEEE Trans. Commun., vol. 68, no. 1, pp. 493-505,
Jan. 2020. (Corresponding author)
[47] Y. Wu, Yu. Wang, F. Zhou, and R. Q. Hu, “Resource allocation for OFDMA-based mobile edge
computing networks: computation efficiency maximization,” IEEE Commun. Lett., vol. 24, no. 1,
pp.159-163, Jan. 2020. (Corresponding author)
[48] X. Liu, Y. Wang, F. Zhou, Z. Deng, and R. Q. Hu, “Performance analysis on visible light
communications with multi-eavedroppers and practical amplitude constraint,” IEEE Commun.
Lett., vol. 23, no. 12, pp. 2292-2295, Dec. 2019. (Corresponding Author)
[49] F. Zhou, R. Q. Hu, Z. Li, and Y. Wang, “Mobile Edge Computing in unmanned aerial vehicle
networks,” IEEE Wireless Commun., to be published, 2019.
[50] W. Hao, G. Sun, F. Zhou, D. Mi, J. Shi, P. Xiao, and V. C. M. Leung, “Energy-efficient hybrid
precoding design for integrated multicast-unicast millmeter wave communications with
SWIPT,” IEEE Trans. Veh. Technol., vol. 68, no. 11, pp. 10956-10968, Nov. 2019.
[51] S. Ma, F. Zhang, H. Li, F. Zhou, Y. Wang, and S. Li, “Simultaneous lightwave information and
power transfer in visible light communication systems,” IEEE Trans. Veh. Technol., vol. 2, no. 3,
pp.764-773, Sept. 2018.
[52] X. Liu, Z. Chen, Y. Wang, F. Zhou,Y. Luo, and R. Q. Hu, “BER analysis of NOMA-enabled
visible light communication systems with different modulations,” IEEE Trans. Veh. Technol., vol.
68, no. 11, pp. 10807-10821, Nov. 2019. (Corresponding author)
[53] X. Zhang, Y. Zhong, P. Liu, F. Zhou and, Y. Wang, “Resource Allocation for a UAV-Enabled
Mobile-Edge Computing System: Computation Efficiency Maximization,” IEEE Access, vol. 7,
pp.113345-113354, 2019.
[54] Z. Chu, W. Yu, P. Xiao, F. Zhou, Naofal Al-Dhahir, Atta ul Quddus, and R. Tafazolli,
“Opportunistic spectrum sharing for D2D-based URLLC,” IEEE Trans. Veh. Technol., vol. 68, no.
9, pp. 8995-9006, Sept. 2019.
[55] L. Lv, F. Zhou, J. Chen, and Naofal AL-Dhahir, “Secure cooperative communications with an
untrusted relay: A NOMA-inspired jamming and relaying approach,” IEEE Trans. Inf. Forensic
Secur., vol. 14, no. 12, pp. 3191-3205, Dec. 2019.
[56] Z. Gao, Y. Wang, X. Wang, and F. Zhou “Using polar codes in NOMA-enabled visible light
communication systems,” IEEE Sensors Letters, vol. 3, no. 5, pp. 1-4, May 2019, Art no.
7500404.
[57] B. Liu, J. Wang, S. Ma, F. Zhou, and G. Lu, “Energy-efficient cooperation in mobile edge
computing-enabled cognitive radio networks,” IEEE Access, vol. 7, pp. 45382-45394, 2019.
[58] F. Zhou, G. Lu, M. Wen, Y. Liang, Z. Chu, and Y. Wang, “Dynamic Spectrum Management Via
Machine Learning: State of the Art, Taxonomy, Challenges and Open Research Issues,” IEEE
Netw., vol. 33, no. 4, pp. 54-62, July/August 2019.
[59] X. Hong, P. Liu, F. Zhou, Sen Guo and Zheng Chu, Resource allocation for secure UAV-assisted
wireless communication systems with SWIPT,” IEEE Access, vol.7, pp. 24248-24257, 2019.
[60] H. Sun, F. Zhou, and R. Q. Hu, “Joint offloading and computation energy efficiency
maximization in a mobile edge computing systems,” IEEE Trans. Veh. Technol., vol. 68, no. 3, pp.
3052-3056, 2019. (corresponding author, ESI highly cited paper)
[61] Z. Chu, F. Zhou, P. Xiao, Z. Zhu, D. Mi, Naofal AL-Dhahir, and R. Tafazolli, “Resource
allocation for secure wireless powered integrated multicast and unicast services with full duplex
self-energy recycling,” IEEE Trans. Wireless Commun., vol. 18, no. 1, pp. 620-636, Jan. 2019.
[62] B. Li, X. Qi, K. Huang, Z. Fei, F. Zhou and R. Q. Hu, “Security-reliability tradeoff analysis for
cooperative NOMA in cognitive radio networks,” IEEE Trans. Wireless Commun., vol. 67，no. 1,
pp. 83-96, Jan. 2019. (ESI highly cited paper)
[63] H. Sun, F. Zhou, R. Q. Hu, and L. Hanzo, “Robust beamforming design for MISO NOMA
cognitive radios relying on SWIPT,” IEEE J. Sel. Areas Commun., vol.37 , no.1 , pp. 142-155,
Jan, 2019. (ESI highly cited paper)
[64] Y. Zhou, H. Zhou, F. Zhou*,Y. Wu, and V. C. M. Leung, ''Resource Allocation for A Wireless
Powered Integrated Radar and Communication System,'' IEEE Commun. Lett., vol. 8，no. 1, pp.
253-256, Jan. 2019.
[65] S. Hong, F. Zhou, Y. W., Z. Zhao, and M. Yan, “Chaotic phase-coded waveforms with space-
time complementary coding for MIMO radar applications,” IEEE Access, vol. 6, pp.42066-42083,
July 2018.
[66] W. Hao, Z. Chu, F. Zhou*, S. Yang, G. Sun, and K. Wong, “Green communication for NOMA-
Based cloud radio access networks,” IEEE Internet Things J., vol. 6, no. 1, pp. 666-678, Jan.,
2019. (Corresponding authors)
[67] B. Liu, F. Zhou, G. Lu, and R. Q. Hu, “Energy-Efficient and Robust Beamforming for MISO
Cognitive Small Cell Networks,” IEEE Internet Things J., vol.5 , no.6 , pp. 5002-5014, Dec,2018.
[68] Y. Ye, Y. Li, F. Zhou, N. Al-Dhahir, and H. Zhang, Power Splitting Based SWIPT with Dual-Hop
DF Relaying in the Presence of a Direct Link, IEEE Syst. J., 2018. (JCR I)
[69] X. Zhang, Y. Wang, F. Zhou*, Naofal Al-Dhahir and X. Deng, “Robust resource allocation in
MISO cognitive radios under two practical non-linear energy harvesting model,” IEEE Commun.
Lett., vol.22 , no.9 , pp. 1874-1877, Sept. 2018. (Corresponding authors)
[70] F. Zhou, Y. Wu, .Qi. Hu, and Y. Qian, “Computation Rate Maximization in UAV-Enabled
Wireless Powered Mobile-Edge Computing Systems,” IEEE J. Sel. Areas Commun., vol. 36, no.
9, pp.1927-1941, Sept. 2018. (ESI highly cited paper, ESI hot paper)
[71] H. Niu, B. Zhang, K. Wong, Z. Chu, F. Zhou, “Robust An-aided secure beamforming and PS in
wireless powered AF relay networks,” IEEE Syst. J., accepted, 2018.(JCR I)
[72] Y. Ye, Y. Li, D. Wang, F. Zhou, R. Q. Hu, and H. Zhang, “Optimal transmission schemes for
SWIPT based DF relaying networks,” IEEE Trans. Veh. Technol., accepted, 2018. (JCR I)
[73] D. Qin, Y. Wang, F. Zhou, and K. Wong, “Performance analysis of AF relaying with selection
combining in Nakagami-m fading,” IEEE Syst. J., vol. 13, no. 3, pp. 2375-2385, Sept. 2019.
[74] F. Zhou, Z. Chu, H. Sun, R. Q. Hu, and L. Hanzo, “Artificial Noise Aided Secure Cognitive
Beamforming for Cooperative MISO-NOMA Using SWIPT,” IEEE J. Sel. Areas Commun., vol.
36, no. 4, pp.918-931, 2018. (ESI highly cited paper)
[75] F. Zhou* and N. C. Beaulieu, “An Improved and More Accurate Expression for a PDF Related
to Eigenvlaue-based Spectrum Sensing,” IEEE Syst. J., vol., no., pp. , 2018. (JCR I)
[76] B. Li, Z. Fei, Z. Chu, F. Zhou, Kai-Kit Wong, and Pei Xiao, “Robust Chance-constrained Secure
Transmission for Cognitive satellite-Terrestrial networks,” IEEE Trans. Veh. Technol., vol. 67, no.
5, pp.4208-4219, May 2018. (JCR I)
[77] Z. Zhu, S. Huang, Z. Chu, F. Zhou, and I. Lee “Robust designs of beamforming and power
splitting for distributed antenna systems with wireless energy harvesting,” IEEE Syst. J., vol. 13,
no. 1, pp. 30-41, March 2019. (JCR I)
[78] Y. Ye, Y. Li, D. Wang, F. Zhou, R. Q. Hu, and H. Zhang, “Optimal Transmission Schemes for DF
Relaying Networks Using SWIPT,” IEEE Trans. Veh. Technol., vol. 67, no. 8, pp.7062-7072,2018.
[79] F. Zhou, Y. Wu, Y. Liang, Z. Li, Y. Wang, and Kat-Kit Wong, “State of the Art, Taxonomy, and
Open Issues on Cognitive Radio Networks with NOMA,” IEEE Wireless Commun., vol. 25, no. 2,
pp.100-108, 2018. (JCR I, ESI highly cited paper)
[80] Y. Wang, Y. Wu, F. Zhou*, Z. Chu, and Y. Wu, “Multi-objective resource allocation in NOMA
cognitive radios based on a practical non-linear energy harvesting model,” IEEE Access, vol. 6,
no. 1, pp.12973-12982, 2018.(Corresponding author) (JCR II）
[81] Z. Chu, F. Zhou*, Z. Zhu, R. Q. Hu, and P. Xiao, “Wireless powered sensor networks for
internet of things:Maximum throughput and optimal power allocation,” IEEE Internet of Things,
vol.5, no. 1, pp.310 -321, Jan. 2018. (ESI highly cited paper) (Corresponding Author, JCR I）
[82] K.Yuan, Y. Wang, L. Shen, M. Yao, X. Deng, F. Zhou, Z. Chen, “Sub-THz signal’s propagation
model in hypersonic plasma sheath under different atmospheric conditions,” Sci. China-Inf. Sci.,
vol. 60,no.11, 2017.
[83] Z. Zhu, Zheng. Chu, F. Zhou, H. Niu, Z. Wang, and I. Lee, “Secure beamforming designs for
secrecy MIMO SWIPT systems,” IEEE Commun. Lett., vol. 7, no. 3, pp.424 -427, June, 2018.
(JCR II)
[84] F. Zhou*, Y. Wu, R. Q. Hu, Y. Wang, and Kat-Kit Wong, “Energy-Efficient NOMA
Heterogeneous Cloud Radio Access Networks,” IEEE Netw., vol. 32, no. 2, pp.152-160, 2018.
(Correspoding Author, JCR I，ESI highly cited paper)
[85] F. Zhou*, Z. Li*, J. Cheng, Q. Li, and J. Si, “Robust AN-Aided Beamforming and Power
Splitting Design for Secure MISO Cognitive Radio With SWIPT,” IEEE Trans. Wirel. Commun.,
vol.16, no. 4, pp. 2450-2464, April 2017. (JCR I，ESI highly cited paper)
[86] F. Zhou*, N. C. Beaulieu, J. Cheng, Z. Chu*, and Y. Wang, “Robust Max-Min Fairness Resource
Allocation in Sensing-Based Wideband Cognitive Radio With SWIPT: Imperfect Channels
Sensing,” IEEE Syst. J., vol. 12, no. 3, pp. 2361-2372, Sept. 2018. (Corresponding Author, JCR I)
[87] F. Zhou, N. C. Beaulieu, Z. Li, J. Si and P. Qi, “Energy-Efficient Optimal Power Allocation for
Fading Cognitive Radio Channels: Ergodic Capacity, Outage Capacity and Minimum-Rate
Capacity,” IEEE Trans. Wireless Commun., vol. 15, no. 4, pp. 2741-2755, April. 2016.
(Corresponding Author, JCR I)
[88] Z. Li, F. Zhou, X. Chen, Y. Li, F. Gao, “An Adapative State Assignment Mechanism Based on
Joint Data Detection and Channel Estimation on Fading Meteor Channel,” IEEE Trans. Veh.
Technol., vol. 66, no.6 , pp. 4627-4635, 2017. (JCR I)
[89] Z. Chu, F. Zhou*, Z. Zhu, M. Sun, and N. Al-Dhahir, “Energy Beamforming Design and User
Cooperation for Wireless Powered Communication Networks,” IEEE Commun. Lett., vol.6 , no.6 ,
pp. 750-753, April 2017. (Corresponding Author, JCR II)
[90] Y. Wang, Y. Wang, F. Zhou*, Y. Wu, and H. Zhou, “Resource Allocation in Wireless Powered
Cognitive Radio Networks Based on a Practical Non-linear Energy Harvesting Model,” IEEE
Access, vol. 5, pp.17618 -17626, April 2017. (Corresponding Author, JCR II，ESI highly cited
paper）
[91] Dong Qin*, Yuhao Wang, and F. Zhou*, “SER Optimization of OFDM Based on AF Relaying in
the Presence of AWGN,” IEEE Access, vol. 5, pp. 3149-3156, April 2017. (Corresponding Author,
JCR II）
[92] B. Liu, Z. Li, J. Si, and F. Zhou,“Optimal Spectrum Sensing Interval in Energy-Harvest Cognitive
Radio Networks,” Trans. Cogn. Commun. Netw., vol. 3, no. 2, pp. 190-200, May 2017.
[93] H. Chao, Z. Li, F. Zhou, R. Zhu, “Robust AN-aided beamforming design for secure MISO
cognitive radio based on a practical nonlinear EH model,” IEEE Access, vol. 5, pp. 14011-14019,
2017. (JCR II)
[94] F. Zhou, Y. Wang, D. Qin, Y. Wang and Y. Wu, “Secure EE maximization in Green CR:
Guaranteed SC,” IET Commun., vol. 11, no. 16, pp.2507-2513, 2017.
[95] B. Nin, L. Guan, and F. Zhou, “Probabilistic Frequency-Hopping Sequence with Low Probability
of Detection Based on Spectrum Sensing,” IET Commun., vol. 11, no. 14, pp. 2147-2153, April
2017.
[96] Y. Ye, G. Lu, Y. Li, and F. Zhou, “Improved energy detection with Laplacian noise in cognitive
radio,” IEEE Syst. J., vol. 13, no. 1, pp. 18-29, March 2019. (JCR I)
[97] B. Kong, Y. Wang, H. Leung, X. Deng, H. Zhou, and F. Zhou, “Sparse Representation Based
Range-Doppler Processing for Integrated OFDM Radar-Communication Networks,” Int. J.
Antennas Propag., vol. 2017, pp.1-12, 2017.
[98] F. Zhou, N. C. Beaulieu, Z. Li, and J. Si, “Feasibility of Maximum Eigenvalue Cooperative
Spectrum Sensing Based on Cholesky Factorization,” IET Commun., vol. 10, no. 2, pp. 199-206,
Feb. 2016 .
[99] Z. Li, F. Zhou, J. Si, P. Qi, and L. Guan,“ Feasibly Efficient Cooperative Spectrum Sensing
Scheme Based on Cholesky Decomposition of the Correlation Matrix,” IET Commun., vol. 10, no.
9, pp. 1003-1011, June. 2016.
[100] B. Liu, Z. Li, J. Si, and F. Zhou, “Optimal Sensing Interval in Cognitive Radio Network wit
Imperfect Spectrum Sensing,” IET Commun., vol. 10, no. 2, pp.189-198, Feb. 2016.
[101] D. Yang, J. Si, Z. Li, N. C. Beaulieu, F. Zhou, B. Hao, and J. Zhu, “Blind CFO Estimation for
Single Carrier and OFDM Signals Using Least-Order Cyclic Moments,” IET Commun., vol. 10,
no. 6, pp. 669-676, June 2016.
[102] F. Zhou, Z. Li, J. Si, B. liu, and H. Huang, “Optimal Power Allocation for MISO Cognitive
Radios with Antenna Selection Strategies,” IET Commun., vol. 9, no. 10, pp. 1337-1345, June.
2015.
[103] Z. Li, B. Liu, J. Si, and F. Zhou, “Optimal Satisfaction Degree in Energy Harvesting Cognitive
Radio Networks,” Chin. Phys. B, vol. 24, no. 12, pp. 592-599, Dec. 2015.
[104] B. Liu, Z. Li, J. Si, and F. Zhou, “Blind CHMM-Based Spectrum Sensing and Recognition for
Primary User with Multiple Power Levels,” IET Commun., vol. 9, no. 11, pp.1396-1403, July
2015.
[105] Yongpeng Wu, F. Zhou, Zan Li, Shunqing Zhang, Zheng Chu, and Wolfgang H. Gerstacker, “Green
Communication and Networking,”Wirel. Commun. Mob. Comput., Spet. 24, 2017.
会议论文
[1] Yuqian Jing, Chao Dong, Yuben Qu and Fuhui Zhou, “Air-ground integrated federated learning: An
experimental study,” SAGC 2021, vol. no. pp. , 2021.
[2] Qun Wang, Fuhui Zhou, Han Hu, and Rose Qingyang Hu, “Energy-efficient design for IRS-Assisted
MEC networks with NOMA”, IEEE WCSP 2021.
[3] Han Hu, Dingguo Wu, Fuhui Zhou, Rose Qingyang, Hu, “Dynamic task offloading in MEC-enabled
IoT networks: A hybrid DDPG-D3QN approach”, IEEE Globecom 2021，to be published, 2021.
[4] Tianmi He, Dawei Wang, Fuhui Zhou, Weil Liang, Xiao Tang, and Daosen Zhai, “Delay-aware
offloading for cooperative NOMA-based near-and-far MEC networks”, 2021 IEEE/CIC International
Conference on Communications in China, Xiamen, 2021.
[5] 段洪涛、范振雄、张浩，周福辉，“频谱知识图谱在无线电监测中的构建与应用”，电信科
学，2021，全国电磁频谱安全与控制大会。
[6] Qiuming Zhu, Yi Zhao, Yang Huang, Zhipeng Lin, Lu Han, Jie Wang, Yunpeng Bai, Tianxu Lan,
Fuhui Zhou, Qihui Wu, “DEMO Abstract: An UAV-based 3D spectrum real-time mapping system,”
IEEE Informcom 2022.
[7] Yuhang Wu, Fuhui Zhou, Wei Wu, Qihui Wu, Rose Qingyang Hu, and Kai Kit Wong, “Spectrum
and energy efficiency tradeoff in IRS-assisted CRNs with NOMA: a multiple-objective optimization
framework,” IEEE ICC, 2022, to be published. （Corresponding author）
[8] Fuhui Zhou, Yihao Li, Xinyuan Zhang, Qihui Wu, Xianfu Lei, and Rose Qingyang Hu,“Cognitive
semantic communication systems driven by knowledge graph,”IEEE ICC, 2022, to be published.
[9] Rui Ding, Hao Zhang, Fuhui Zhou, Qihui Wu, and Zhu Han, “Data-and-knowledge dual-driven
automatic modulation recognition for wireless communication networks,” IEEE ICC, 2022, to be
published. （Corresponding author）
[10] Wei Wu, Fengchun Yang, Fuhui Zhou, Han Hu, Qihui Wu, and Rose Qingyang Hu, “Intelligent
resource allocations for IRS-assisted OFDM communications: A hybrid MDQN-DDPG approach,”
IEEE ICC, 2022, to be published.
[11] Y. Wu, F. Zhou, Q. Wu, Y. Huang, and R. Q. Hu, “Resource allocation for IRS-assisted sensing-
enhanced wideband CR networks”, IEEE ICC Workshop 2021, to be published, 2021.
[12]. F. Zhou, Y. Wu, and Q. Wu, “Resource allocation based on deep reinforcement learning for
wideband cognitive radio networks”, URSI GASS 2021, to be published.
[13] H. Hu, W. Song, Q. Wang, F. Zhou, and R. Q. Hu, “Mobility-aware task offloading and resource
allocation in MEC-enabled IoT networks”, the 16th International Conference on Mobility, Sensing
and Networking (MSN 2020)，Accepted.
[14] X. Liu, Z. Chen, Y. Wang, F. Zhou, S. Ma, and N. AL-Dhahir, “Secure beamforming designs in
MISO visible light communication networks with SLIPT,” IEEE Globecom 2020, to be published.
[15] Q. Wang, F. Zhou, and R. Q. Hu, “Energy-efficient beamforming and cooperative jamming in
IRS-assisted MISO networks,” IEEE ICC 2020, to be published, 2020.
[16] Y. Zhou, H. Zhou, F. Zhou, D. W. K. Ng, K. K. Wong “Outage-constrained robust trajectory and
transmit power optimization for UAV-enabled cognitive radio networks,” IEEE ICC 2020, to be
published, 2020.
[17] J. Ren, X. Lei, F. Zhou, P. D. Diamantoulakis, O. A. Dobre, and G. K. Karagiannidis,
“Throughput maximization in buffer-aided wireless-powered NOMA networks,” IEEE ICC 2020,
to be published, 2020.
[18] Y. Zhou, H. Zhou, F. Zhou, S. Ma, and R. Q. Hu, “Arificial-Noise Aided Precoding Design for
MIMO Integrated Radar and Communication Systems,” IEEE WCSP 2019, to be published, 2020.
[19] J. Wen, R. Yu, Y. Wang, H. Zhou, and F. Zhou, “Resource Allocation and Trajectory Design for
UAV-Enabled Wideband Cognitive Radio Networks,” IEEE Globecom Waikoloa, HI, USA,2019.
[20] F. Zhou, Y. Wu, R. Q. Hu, and Y. Qian, “Computation efficiency in a wireless-powered mobile
edge computing network with NOMA,” IEEE ICC 2019, Shanghai, China, 2019.
[21] Q. Wang and F. Zhou, “Fair resource allocation in a MEC-enabled ultra-dense IoT networks with
NOMA,” IEEE ICC workshop 2019,to be published, 2019.
[22] W. Hao, F. Zhou, Z. Chu, P. Xiao, R. Tafazolli, and N. Al-Dhahir, “Beam alignment for MIMO-
NOMA millimeter wave communication systems”, IEEE ICC 2019, to be published, 2019.
[23] W. Wu, F. Zhou, P. Li, B. Wang and K. K. Wong, “Energy-efficient secure NOMA-enabled
mobile edge computing networks”, IEEE ICC 2019, to be published, 2019.
[24] Z. Chu, W. Hao, P. Xiao, F. Zhou, and R. Q. Hu, “Low-latency statistical delay QoS driven
energy efficiency for D2D communications”, IEEE ICC 2019, to be published, 2019.
[25] W. Hao, Z. Chu, F. Zhou, P. Xiao, V. C. M. Leung, and R. Tafazolli, “Hybrid precoding design
for SWIPT joint multicast-unicast mmWave system with subarray structure,” IEEE ICC 2019, to
be published, 2019.
[26] X. Liu, Y. Wang, F. Zhou, and R. Q. Hu, “BER analysis of NOMA-enabled visible light
communication systems with M-PSK modulation,” WCSP 2018, accepted, 2018.
[27] Z. Chu, W. Hao, P.Xiao, F. Zhou, De Mi, Z. Zhu, and Victor C. M. Leung, “Energy efficient
hybrid precoding in heterogeneous networks with limited wireless backhaul capacity,” IEEE
Globecom 2018, to be published, 2018.
[28] F. Zhou, H. Sun, Z. Chu, and R. Q. Hu, “Resource allocation for wireless-powered mobile edge
computing networks: Computation efficiency maximization,” IEEE Globecom 2018, to be
published, 2018.
[29] G. Lu, Y. Ma, B. Liu, Y. Qiang, and F. Zhou, “Joint optimal beamforming and sensing interval
design for energy efficient cognitive small cell,” IEEE ICCC 2018, to be published.
[30] F. Zhou, X. Zhang, R. Q. Hu and Apostolos Papathanassiou, “Resource Allocation Based on
Deep Neural Networks for Cognitive Radio Networks,” IEEE ICCC 2018， to be published.
[31] Z. Hu, F. Zhou, Z. Zhang, and H. Zhang, “Optimal max-min fairness energy-harvesting resource
allocation in wideband cognitive radio network,” IEEE VTC Spring 2017, pp.1-5.
[32] F. Zhou, Zheng Chu, Y. Wu Naofal Al-Dhahir, and P. Xiao, “Enhancing PHY security of MISO
NOMA SWIPT systems with a Practical non-linear EH model,” IEEE ICC Workshop 2018,
accepted.
[33] F. Zhou, Y. Wu, H. Sun, and Z Chu, “UAV-Enabled Mobile Edge Computing: Offloading
Optimization and Trajectory Design,” IEEE ICC 2018, Accepted.
[34] H. Sun, F. Zhou, and Z. Zhang, “Robust Beamforming Design in a NOMA Cognitive Radio
Network Relying on SWIPT,” IEEE ICC 2018, Accepted.
[35] F. Zhou, Z. Chu, H. Sun, and Victor C. M. Leung, “Resource Allocation for secure MISO-
NOMA Cognitive Radios Relying on SWIPT,” IEEE ICC 2018, Accepted.
[36] Z. Zhu, Z. Wang, Z. Chu, S. Huang, and F. Zhou, “Max-Min fair harvested energy based
beamforming designs for MISO SWIPT secrecy system,” IEEE International Conference on
Ubiquitous Wireless Broadband (ICUWB) 2016, Nanjing, China.(Invited paper)
[37] F. Zhou, Z. Li, Norman C. Beaulieu, J. Cheng, and Y. Wang, “Resource Allocation in Wideband
Cognitive Radio With SWIPT: Max-Min Fairness Guarantees,” IEEE Globecom 2016.Washington,
DC USA .
[38] F. Zhou, Z. Li, J. Si, and L. Guan, “An Efficient Spectrum Sensing Algorithm for Cognitive
Radio Based on Finite Random Matrix,” In Proc. PIMRC 2014, Washington, USA, Sept. 2015, pp.
1223-1227.
[39] F. Zhou, Zan Li, J. Si, and B Hao, “Adaptive Secondary-User Selection Without Prior Information
for Cooperative Spectrum Sensing in CRNs,” International Conference on Computer, Information
and Telecommunication Systems (CITS 2015), Gijon, Spain, July 2015.
[40] Y. Wang, Y. Wu, F. Zhou, Y. Wu, Z. Chu, and Y. Wang, “Multi-objective resource allocation in
NOMA cognitive radio based on a practical non-linear energy harvesting model,” IEEE WCSP
2017,pp.1-6, Nanjing, China.
[41] D. Yang, Z. Li, J. Si, F. Zhou and B. Hao, “A Self-Adapting Symbol Rate Estimator Based on
Wavelet Transform with Optimal Scale and Resample,” InProc. VTC Fall 2014, Vancouver,
Canada,Sept. 2014, pp. 1-5.
[42] B. Liu, G. Lu, Z. Li, and F. Zhou, “Spectrum Sensing Interval Optimization and Power Control for
Energy Efficient Cognitive Radio Networks,” In Proc. WCSP 2017, pp.1-6, Nanjing, China.
[43] Y. Ye, Y. Li, G. Lu, F. Zhou, and H. Zhang, “Performance of spectrum sensing based on absolute
value comulation in Laplacian noise,” in Proc. VTC Spring 2017,Sydney, June, 2017.
四、所获荣誉或奖项
· 2021年入选江苏省“333高层次人才培养工程”第三层次
· 获得E&T Innovation Awards 2021
· 2021年江西省自然科学奖一等奖
· 2021年中国发明协会发明创新创业奖一等奖
· 2022年日内瓦国际发明展金奖
· 2021年入选国际无线电科学联盟（URSI GASS）青年科学家奖
· 2019年入选南京航空航天大学“长空英才”
· 2019年入选中国科协青年人才托举工程
· 2018年荣获国际权威期刊IEEE Transactions on Comunications最佳审稿专家
· 入选江西省高层次人才
· 入选江西省杰出青年基金项目
· 2019年荣获国际权威期刊IEEE Transactions on Comunications最佳审稿专家（2% reviewer）
· 赣江青年学者
五、主要学术兼职
专业活动
1. IEEE Senior Member
2. IEEE Standards Association Member
2. Senior Member of China Institute Communications
3. Member of IEEE Comsoc
4. Member of The Chinese Institute of Electronics
5. 中国电子学会通信分会委员会委员，2022；
6. 江苏未来移动网络技术与数据服务委员会副主任，2021；
7. 中国人工智能学会智能融合专委会委员，2022
期刊编辑
1. Nov. 2019-current, Editor of IEEE Transactions on Communications.
2. July 2018- current, Associate Editor of IEEE Systems Journal, (SCI index, JCR I)
3. Jan. 1 2020-current, Associate Editor of IEEE Wireless Communications Letters.
4. Dec. 2017- Sept. 2020, Associate Editor of IEEE Access, (SCI index, JCR II)
5. Jan. 2019- current, Associate Editor of IEEE Physical Communications, (SCI index)
6. Sept. 2020-current, Editor of Wireless Communications and Mobile Computing.
7. Sept. 2017- Aug. 2018, Guest Editor of Wireless Communications and Mobile Computing, (SCI)
8. Dec. 2018- May 2019, Guest Editor of IEEE Access on special issue Advances in Signal Processing
for Non-Othogonal Multiple Access.
9. Dec. 2019- Current, Editor of Frontiers in Communications and Networks .
10. April 2021-current, Editor of Electronics
会议主席
1. Workshop co-chair for IEEE ICC 2019 Workshop on Advanced Mobile Edge /Fog Computing for
5G Mobile Networks and Beyond
2. Workshop co-chair for IEEE Globecom 2019 Workshop on Advanced Mobile Edge /Fog Computing
for 5G Mobile Networks and Beyond
3. 2022首届全国电磁频谱空间人工智能学术交流大会，程序委员会委员之一，2022.6.22-2022.6.24，南京
项目评审人
国家自然科学基金
陕西省地方标准制定计划评审专家
技术委员会（TPC）成员
1. IEEE Globecom 2018： Cognitive radios networks
2. IEEE VTC 2018 workshop on 5H for a variety of services
3. VTC2018-Spring: Radio Access Technology and Heterogeneous Networks
4. VTC2018-Spring: Cognitive Radio and Spectrum Management
5. VTC2017-Spring Recent Results and Workshops
W1: The 6th International Workshop on High Mobility Wireless Communications (HMWC) 2017
6. IEEE Globecom 2017
7. IEEE ICC 2017
8. IEEE ICCC 2017
9. IEEE VTC Spring, 2017
10.IEEE Globecom 2016
11.IEEE ICC 2016
12.IEEE PIRMC 2016
13.IEEE VTC Spring
14.IEEE VTC fall 2016
15.IEEE Globecom 2015
16.IEEE ICC 2019 Wireless Communications Symposia
17.WCSP 2018, Wireless Communications Symposia
18.IEEE Globecom 2018, Mobile Wireless Networks
19.IEEE WF-5G’19, 2019 World 5G Forum
20.IEEE Globecom 2019, GCSN, Green Communication Systems and Networks
21.IEEE Globecom 2019, GRAEN, Cognitive radios and AI-enabled networks
22.IEEE ICNC’20 SPC, Signal processing for Communications
23. IEEE Globecom 2020 Wireless Communications symposium and Green Communication Systems and Networks symposium
24. IEEE ICC 2020 WC symposium
25. CIAP 2019
26. IEEE MENACOMM 19
期刊审稿人
1. IEEE Communications Surveys & Tutorials
2. IEEE Journal of Selected Areas in Communications (JSAC)
3.IEEE Wireless Communications
4.IEEE Communications Magazine (Commag)
5.IEEE Vehicular Technology Magazine
6.IEEE Transactions on Wireless Communications (TWireless)
7.IEEE Transactions on Communications (TCOM)
8.IEEE Transactions on Vehicular Technology (TVT)
9.IEEE Transactions on Cognitive Communications and Networking
10. IEEE Transactions on Signal Processing
11.China Communications
12.Science China Information Sciences
13.IEEE Systems Journal
14.IEEE Internet of Things
15.IEEE Communications Letters
16.IEEE Wireless Communications Letters
17.IEEE Access
18.Signal Processing
19.International of Communications and Networks
20.IET Communications
21.IEEE Transactions on Mobile Computing
22.Computer Communications
23.Digital Signal Processing
24.KSII Transactions on Internet and Information Systems
......
会议评审
1.IEEE INFOCOM
2.IEEE GLOBECOM
3.IEEE ICC
4.IEEE WCNC
5.IEEE VTC
6.IEEE PIMRC
7.IEEE WCSP
8.IEEE ICCC
......
七、代表性专利
李赞，周福辉，杨鼎，高锐，关磊，黄海燕，刘向丽，齐佩汉，胡伟龙，熊天意：《基于Cholesky 分解与特征值的协作频谱检测方法》，已授权，专利授权号：ZL 201410211791.2，授权日期： 2015年10月20日。
李赞，周福辉，杨鼎，高锐，关磊，黄海燕，刘向丽，齐佩汉，胡伟龙，熊天意：《基于Cholesky 分解的协作频谱检测方法》，已授权，专利授权号：ZL 201410211226.6，授权日期： 2015年10月29日。
周福辉，李赞，杨鼎，刘向丽，杜军朝，刘惠，高锐，黄海燕，关磊，熊天意，胡伟龙：《基于有限随机矩阵的频谱检测方法》，已授权，专利授权号：ZL 201410211335.8，授权日期： 2016年3月7日。
刘伯阳，李赞，司江博，杨鼎，刘向丽，周福辉，熊天意，胡伟龙，万鹏武，牛宏伟，《基于隐马尔科夫模型的盲主用户检测与发送电平识别方法》，已授权，授权号：ZL 201410577419.3。
李赞，周福辉，唐烨，关磊，郝本建，熊天意，胡伟龙，齐佩汉，司江勃，刘伯阳，杨鼎：《基于频谱共享能效最佳功率分配方法》，已申请国家发明专利，专利申请号：201510344689.4，申请日期： 2015年6月23日。
周福辉，李赞，唐烨，司江勃，郝本建，熊天意，杨鼎，刘向丽，黄海燕，胡伟龙，刘伯阳：《基于中断概率能效最佳功率分配方法》，已授权，专利授权号：ZL201510344482.7，授权日期： 2018年7月29日。
李赞，周福辉，黄海燕，周力存，郝本建，司江勃，刘向丽，关磊，齐佩汉，熊天意，胡伟龙：《用于绿色认知无线电安全能效最佳功率的分配方法》，已授权，专利授权号：ZL201510640929.5。授权日期： 2018年8月29日。
李赞，周福辉，周力存，刘伯阳，黄海燕，齐佩汉，刘向丽，宁奔，翟文超，王丹洋，梁琳：《用于物理层安全认知无线电最佳功率分配方法》，国防专利，专利授权号：ZL.201518006280.2，授权日期： 2018年8月17日。
周福辉，李赞，周力存，司江勃，黄海燕，关磊，齐佩汉，刘伯阳，宁奔，胡伟龙，熊天意：《认知无线电保证安全容量能效最佳功率分配方法》，专利申请号：ZL.201518006281.7，已授权，授权日期： 2018年11月9日。
周福辉，林洪城，周辉林，王玉皞，周小雨，吴雨航，张祥，张雄健，周奕帆，钟宜洁，《基于二元加载机制下无人机充电边缘计算网络的资源分配方法》，专利授权号：ZL. 201810762121.8，已授权，授权日期： 2021年7月21日。
吴雨航，周福辉，王玉皞，周辉林，林洪城，陈良兵，张雄健，《一种用于无线充电边缘计算网络计算能效的资源分配方法》，ZL. 201810978474.1, 已授权，授权日期：2022年02月09日。
周福辉，张祥，陈良兵，王玉皞，周辉林，吴雨航，林洪城，张雄健，周奕帆，钟宜洁：《无人机辅助无线充电边缘计算网络的资源分配方法》，已授权， ZL. 201810762122.2，授权日期： 2021年09月08日。
八、标准和提案
1. 周福辉、吴雨航，IMT2030 6G推进组，《智能超表面技术研究报告》白皮书
2. 周福辉、袁璐，《知识图谱选型与实施指南》白皮书
九、软件著作权
1. 徐铭，丁锐，王晨玥，胡林圣，张浩，周福辉，全域频谱认知系统，软件著作权，登记号：2021SR1917466
十、出版著作
1. 周福辉，《鲁棒优化》，机械工业出版社，2022，译著
2. 周福辉，刘伯阳，刘超文，翟文超，《GNU Radio软件无线电基础、实践与应用》，2022年，教材专著