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骨干教师:周福辉

  

        周福辉,南京航空航天大学电子信息工程学院教授,博导,IEEE Senior Member1989年生于江西抚州。入选南京航空航天大学“长空英才”、中国科协通信学会“青年人才托举工程”、“江西省杰出青年基金”和“江西省高层次人才”等人才计划。至今已在国际权威期刊或会议发表论文120余篇,其中入选ESI热点论文1篇,入选ESI高被引论文10篇,申请发明专利17项,其中已授权13项;作为主持人或子课题负责人至今承担了包括国家重点研发课题、国家自然科学重点项目子课题、国家自然科学面上项目、青年基金、江西省自然科学杰出青年基金等10余个课题,经费充足。目前,担任国际通信权威期刊IEEE Transactions on CommunicationsIEEE Systems JournalIEEE Wireless Communications LettersIEEE AccessPhysical Communications的编委(Editor),并担任IEEE ICCGlobecomVTC等国际著名会议技术委员会委员。同时,作为会议共同主席(co-chair)组织了IEEE ICC Workshop 2019IEEE Globecom Workshop

        主要研究方向:面向国家重大应用需求,围绕频谱智能管理与鲁棒优化系统性地展开相关基础理论、方法与应用研究,具体包括:

(1)频谱智能管控和资源鲁棒优化

(2)认知智能与知识图谱

(3)边缘智能与机器学习

(4)频谱效率增强新兴理论与技术

(5)智能与反智能理论与算法

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

13. 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。

12. 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。

11. 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。

10. 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。

9.  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

     万,20181-202012月,主持。

8. 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,20181-202012月,主持。

7. 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,2017-20

    1912月,主持。

6. 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,20172-201

    810月,主持。

5. 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,201611-201810月,项目编号:2017KY04,主持

4. 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。

3. 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。

2. 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,20186-20206月,主持。

1. 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,

    201010月至201206月,参与。


四、代表性期刊与会议论文

期刊

[83]. 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.

[82]. 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.

[81]. 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.

[80]. 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)

[79]. 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.

[78]. 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.[77]. 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)

[76] 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.

[75] 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.

[74] 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)

[73] 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.

[72] 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)

[71] 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.

[70] 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.

[69] 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.

[68] Y. ZhouF. 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)

[67] 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)

[66] F. Zhou and R. Q. Hu, “Computation Efficiency Maximization in Wireless-Powered   Mobile

 Edge Computing Networks,” IEEE Trans. Wireless Commun., to be published, 2020.

[65] 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)

[64] 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.

[63] 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.

[62] 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)

[61] 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.

[60] 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)

[59] 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)

[58] 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)

[57] 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.

[56] 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.

[55] 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.

[54] 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.

[52] 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.

[51] 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.

[50] 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.

[49] 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.

[48] 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.

[47] 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.

[46] 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)

[45] 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.

[44] 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. 67no. 1,

pp. 83-96, Jan. 2019. (ESI highly cited paper)

[43] 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)

[42] 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. 8no. 1, pp. 

 253-256, Jan. 2019.

[41] 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.

[40] 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)

[39] 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.

[38] 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)

[37] 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)

[36] 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 paperESI hot paper)

[35] 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)

[34] 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)

[33] 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.

[32] 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)

[31] 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)

[30] 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)

[29] 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)

[28] 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.

[27] 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)

[26] 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

[25] 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

[24] 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.

[23] 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)

[22] 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)

[21] 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 IESI highly cited paper)

[20] 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)

[19] 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)

[18] 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)

[17] 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)

[16] 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 IIESI highly cited

 paper

[15] 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

[14] 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.

[13] 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)

[12] F. ZhouY. 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.

[11] 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.

[10] 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)

[9] 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.

[8] 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 .

[7] 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.

[6] 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.

[5] 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.

[4] 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.

[3] Z. Li, B. Liu, J. Si, and F. Zhou,   “Optimal Satisfaction Degree in Energy Harvesting Cognitive

     RadiNetworks,” Chin. Phys. B, vol. 24, no. 12, pp. 592-599, Dec. 2015.

[2] B. Liu, Z. Li, J. Si, and F. Zhou, “Blind CHMM-Based Spectrum Sensing and Recognition for 

      PrimarUser   with Multiple Power Levels,” IET Commun., vol. 9, no. 11, pp.1396-1403,   July

      2015.

[1] 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

[33]. 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.

[32]. 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.

[31] 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.

[30] 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.

[29] 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.

[28] 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.

[27] 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.

[26] 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.
[25] 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.

[24] 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.

[23] 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.

[21] 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.

[20] 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.

[19] 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.

[18] 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.

[17] 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.

[16] 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.

[15] 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.

[14] 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.

[13] 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.

[12] 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.

[11] F. Zhou, Y. Wu, H. Sun, and Z Chu, “UAV-Enabled Mobile Edge Computing: Offloading

       Optimization and Trajectory Design,” IEEE ICC 2018,  Accepted.

[10] H. Sun, F. Zhou, and Z. Zhang, “Robust Beamforming Design in a NOMA Cognitive Radio

       Network Relying on SWIPT,” IEEE ICC 2018, Accepted.

[9] 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.

[8] 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)

[7] 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 .

[6] 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.

[5] 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.

[4] 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.

[3] 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.

[2] 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.

[1] 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. Member of IEEE

2. Senior Member of China  Institute Communications

3. Member of IEEE Comsoc

4.Member of The Chinese Institute of Electronics


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 .



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


项目评审人

国家自然科学基金


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


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: 20151020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: 20151029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: 201637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: 2015623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729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829日。