Editorial
1.Y. Wu, F. Zhou, Z Li, S. Zhang, Z. Chu, and W H. Gerstacker. "Green Communication and Networking," Wireless Communications and Mobile Computing, Spet. 24, 2017.
Journals
150.Rui Ding, F. Zhou, Qihui Wu, and Derrick Wing Kwan Ng, “From external interaction to internal inference: An intelligent learning framework for spectrum sharing and UAV trajectory optimization,” IEEE Transactions on Wireless Communications, 2024. (Corresponding author)
149.H.Zhang, F. Zhou, Q. Wu and N. Aldhahir, “SSwsrNet: A Semi-Supervised Few-Shot Learning Framework for Wireless Signal Recognition,” IEEE Transactions on Communications, to be published, 2024.(Corresponding authors)
148.Z. Wang, W. Wu, F. Zhou, B. Wang, Q. Wu, T. Quek, and C. Chae, “IRS-Enhanced Spectrum Sensing and Secure Transmission in Cognitive Radio Networks,” IEEE Transactions on Wireless Communications, to be published, 2024.
147. H. Hu, Z. Chen,F. Zhou, R. Hu, and H. Zhu, “Computation-Efficient Grouping, Trajectory and Resource Allocation for UAV Swarm-Assisted Aerial-Ground Collaborative Computing Networks,” IEEE Internet of Things, to be published, 2023.
146. X. Lai, X.Zhang, W. Zheng, J. Li, and F. Zhou,“Fragmented coprime arrays with optimal inter subarray spacing for DOA estimation: Increased DOF and reduced mutual coupling,”Signal processing, vol. 25, 2023.
145. L. Wang, W. Wu, F. Zhou, Q. Wu, T. Quek, and N. Al-Dhahir, “ Intelligent resource allocation for secure transmission in Multi-IRS assisted sensing enhanced spectrum sharing networks,” IEEE Transactions on Wireless Communications, to be published , 2023.
144. R. Ding, F. Zhou, Q. Wu, C. Dong, Z. Han, O. Dobre, “Data and knowledge dual-driven automatic modulation classification for 6G wireless communications,” IEEE Transactions on Wireless Communications, to be published, 2023. (Corresponding author)
143. N. Li, W. Hao, F. Zhou, Z. Chu, S. Yang, and P. Xiao, “Resource management for IRS-assisted WP-MEC networks with practical phase shift model,” IEEE Internet of Things, to be published, 2023.
142. G. Wu, F. Zhou, C. Meng, and X. Li, “Precise UAV MMW-Vision positioning: A modal-oriented self-tuning fusion framework,” IEEE Journal on Selected Areas in Communications, to be published, 2023. (Corresponding author)
141. G. Wu, F. Zhou, Y. Qu, P. Li and X. Li, “QoS-ensured Model Optimization for AIoT: A Multi-scale Reinforcement Learning Approach,” IEEE Transactions on Mobile Computing, to be published, 2023. (Corresponding author)
140. C. Liu, W. Wu, S. Wu, L.Yuan, R. Ding, F. Zhou, and Q. Wu, “Social-enhanced explainable recommendation with knowledge graph,” IEEE Transactions on Knowledge and Data Engineering, to be published, 2023.
139. P. Li, J. Li, F. Zhou, X. Zhang, Q. Wu, “Optimal Linear Array Orientation Design for 3D Direct Position Determination via Semi-Definite Relaxation,” Signal Processing, to be published, 2023.
138. P. Li, J. Li, F. Zhou, X. Zhang, and Q. Wu, “Joint Sensor Array Path Planning and Attitude Determination for Optimal Emitter Localization,” IEEE Transactions on Wireless Communications, to be published, 2023.
137.D. Li, X. Yang, A. Hu, F. Zhou, and O. Dobre “LTE device radio frequency fingerprints blind extraction based on temporal-frequency domain PRACH signals,” IEEE Transactions on Vehicular Technology, to be published,2023.
136.Q. Tian, Y. Wu, F. Shen,F. Zhou, Q. Wu, and O. Dobre, “ ED-based spectrum sensing for the satellite communication networks using phased-array antennas,” IEEE Communications Letters, to be published,2023.
135.F. Zhou, C. Wang, G. Wu, Y. Wu, Q. Wu, and N. Al-Dhahir, “Accurate Spectrum Map Construction for Spectrum Management Enabled by Intelligent Frequency-Spatial Reasoning ,” IEEE Transactions on Communications, to be published, 2023.
134.R. Liu, K. Guo, K. An, F. Zhou, Y. Wu, Y. Huang, and G. Zheng, “Resource allocation for NOMA-enabled cognitive satellite-UAV-terrestrial networks with imperfect CSI,” IEEE Transactions on Cognitive Communications and Networks, submitted,to be published, 2023.
133. B. Liu, H. Zhang, Y. Wan, F. Zhou, Q. Wu, and D. Ng, “Robust adversarial attacks on deep learning based RF fingerprint identification,” IEEE Wireless Communications Letters , to be published, 2023. （Corresponding author）
132. Z. Zhang, L. Yuan, F. Zhou, and Q. Wu, “Data-and-knowledge dual-driven radio frequency fingerprint identification,” IEEE Internet of Things, to be published, 2023. （Corresponding author）
131. W. Hao, X. You, F. Zhou, Z. Chu, G. Sun, and P. Xiao, “The far-/near-field beam squint and solutions for THz intelligent reflecting surface communications,” IEEE Transactions on Vehicular Technology , to be published, 2023.
130. R. Liu, K. Guo, K. An, Y. Huang, F. Zhou, and S. Zhu, “Resource allocation for cognitive satellite-HAP-terrestrial networks with non-orthogonal multiple access”, IEEE Transactions on Vehicular Technology,to be published , 2023.
129. H. Hu, D. Wu, Xi. Zhu, F. Zhou, R. Hu, and H. Zhu, “Intelligent resource allocation for edge-cloud collaborate networks: A hybrid DDPG-D3QN approach,” IEEE Transactions on Vehicular Technology, to be published, 2023. (Corresponding author)
128. H. Hu, Z. Chen, F. Zhou, H. Zhu, and Z. Han, “Joint resource and trajectory optimization for heterogeneous-UAVs enabled aerial-ground cooperation computing networks,” IEEE Transactions on Vehicular Technology,to be published, 2023. (Corresponding author)
127. D. Li, Xuan Yang, F. Zhou, D. Wang, and Naofal Al-Dhahir, “ Model- adaption secure UAV relay transmissions,” IEEE Transactions on Green Communications and Networking, to be published, 2023. (Corresponding author)
126. R. Liu, K. Guo, K. An, Y. Huang, F. Zhou, and S. Zhu, “resource allocation for cognitive satellite-HAP-terrestrial networks with non-orthogonal multiple access”, IEEE Transactions on Vehicular Technology, to be published, 2023.
125. Z. Wang, W Wu, F. Zhou, B. Wang, Q.Wu, and Rose Qingyang Hu, “IRS-Assisted spectrum sensing and secure transmission in CRNs: Secrecy rate maximization,” IEEE ICC ,to be published, 2023.
124. W. Wu, Z. Wang, F. Zhou, F. Lang, B. Wang, Q. Wu, and DWK. Ng,“Joint sensing and transmission for IRS-assisted cognitive radio networks,” IEEE Transactions on Wireless Communications, to be published, 2023. (Corresponding author)
123. W. Zhong, Z. Yu, Y. Wu, F. Zhou, Q. Wu, and N. Al-Dhahir, “Dual-function radar and communication system: Energy efficiency maximization,” IEEE Transaction Green Communications and Networking, to be published, 2022. (Corresponding author)
122. D. Wang, X. Li, Y. He, F. Zhou, and Q. Wu,“Intelligent reflecting surface assisted untrusted NOMA transmission: A secrecy perspective,” Science China Information Sciences, to be published, 2022.（Corresponding author)
121. W. Wu, F. Yang, F. Zhou, Q. Wu, and R. Hu, “Intelligent resource allocation for IRS-enhanced OFDM communication systems: A hybrid deep reinforcement learning approach,” IEEE Transactions on Wireless Communications, to be published, 2022. (Corresponding author)
120. Z. Chu, P. Xiao, M. Shojafar, D. Mi, W. Haow, J. Shi, and F. Zhou, “Utility maximization for IRS assisted wireless powered mobile edge computing and caching(WP-MECC) networks,” IEEE Transactions on Communications, to be published, 2022.
119. R. Sun, Y. Wu, Z. Tao, F. Zhou, and Q. Wu, “Robust UAV-assisted jamming secure performance improvement for cognitive UAV networks: Joint resource allocation and trajectory design,” China Communications, to be published, 2022.
118. Z. Qin, Z. Wei, Y. Qu, F. Zhou, H. Wang, DWK. Ng, and CB. Chae, “AoI-aware scheduling for air-ground collaborative mobile edge computing,” IEEE Transactions on Wireless Communications, to be published, 2022.
117. B. Jin, J. Sun, P. Ye, F. Zhou, H. Lim, Q. Wu, and N. Al-Dhahir, “ Date-driven sparsity-based source separation of the aliasing signal for joint communication and radar systems,” IEEE Transactions on Vehicular Technology, to be published, 2022.
116. H. Hu, X. Zhu, F. Zhou, W. Wu, and R. Hu, “One-to-Many Semantic Communication Systems: Design, Implementation, Performance Evaluation,” IEEE Communications Letters, to be published, 2022. (Corresponding author)
115. X. Zhu, Y. Huang, Q. Wu, F. Zhou, X. Ge, and Y. Liu, “Dynamic Channel Selection and Transmission Scheduling for Cognitive Radio Networks,” IEEE Internet of Things Journal, to be published, 2022.
114. D. Li, X. Yang, F. Zhou*, D. Wang and Naofal Al-Dhahir, “Blind physical-layer authentication based on composite radio sample characteristics,” IEEE Transactions on Communications, to be published, 2022. (Corresponding author)
113. R. Ding, M. Xu, F. Zhou, Q. Wu, and R. Hu, “RFML-driven spectrum prediction: A novel model enabled autoregressive model,” IEEE Internet of Things Journal Letter, to be published, 2022.
112. S. Fu, F. Zhou, and R. Hu, “Resource Allocation in a Relay-aided Mobile Edge Computing System,” IEEE Internet of Things Journals, to be published, 2022.
111. H. Liang, R. Wang, M. Xu, F. Zhou, Q. Wu, and O. Dobre, “Few-Shot Learning UAV Recognition Methods Based on The Tri-Residual Semantic Network,” IEEE Communications Letters, to be published, 2022.
110. N. Li, W. Hao, F. Zhou, M. Zeng, and S. Yang, “Smart Grid enabled computaton offloading and resource allocation for MEC system,” IEEE Transactions on Circuits and Systems II: Express Briefs, to be published, 2022.
109. N. Qi, Z. Huang, F. Zhou, Q. Shi, Q. Wu, and M. Xiao, “A task-driven sequential overlapping coalition formation and resource allocation approach in heterogeneous and cooperative UAV networks,” IEEE Transactions on Mobile Computing, to be published, 2022.
108. D. Wang, F. Zhou, W. Lin, Z. Ding, and N. Al-Dhahir, “Cooperative hybrid non-orthogonal multiple access for mobile edge computing assisted cognitive radio networks”, IEEE Transactions on Cognitive Communications and Networks, to be published, 2022.
107. P. Li, W. Wu, L. Wang, F. Zhou, B. Wang, and Q. Wu, “Graph neural network-based scheduling for multi-UAV-enabled communications in D2D networks,” Digital Communications and Networks, to be published, 2022.
106. G. Wu, F. Zhou, G. Ding, Q. Wu, and X. Li,“An Efficient Heterogeneous Edge-Cloud Learning Framework For Spectrum Data Compression”, IEEE Transactions on Mobile Computing, to be published, 2022.（Corresponding author）
105. Y. Shen, Y. Qu, C. Dong, F. Zhou, and Q. Wu, “Joint trainging and resource allocation optimization for federated learning in a UAV swarm,” IEEE Internet of Things Journal, to be published, 2022.
104. Y. Wu, F. Zhou, W. Wu, Q. Wu, R. Hu, and K. 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）
103. W. Hao, F. Zhou, M. Zeng, O. Dobre, and N. Al-Dhahir, “Ultra Wide Band THz IRS Communications: Applications, Challenges, Key Techniques, and Research Opportunities,” IEEE Network, to be published, 2022. （Corresponding author）
102. B. Liu, Y. Wan, F. Zhou, Q. Wu, and R. Hu, “Resource allocation and trajectory design for MISO UAV-assisted MEC networks”, IEEE Transactions on Vehicular Technology, to be published, 2022.（Corresponding author）
101. W. Wu, F. Zhou*, B. Wang, Q. Wu, C. Dong, and R. Hu, “Unmanned Aerial Vehicle Swarm-Enabled Edge Computing: Potential, Promising Technologies, and Challenges”, IEEE Wireless Communications, to be published, 2021.（Corresponding author）
100. L. Yuan, H. Zhang, M. Xu, F. Zhou, and Q. 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)
99. H. Niu, Z. Chu, F. Zhou, C. Pan, D. Kwan Ng, and H. Nguyen,“ Double Intelligent reflecting surface-assisted multiuser MIMO mmWave systems with hybrid precoding”, IEEE Transactions on Vehicular Technology, to be published, 2021.
98. H. Niu, Z. Chu, F. Zhou, P. Xiao, and N. Al-Dhahir, “Simultaneous transmission and reflection reconfigurable intelligent surface assisted MIMO systems”, IEEE Transactions on Vehicular Technology, to be published, 2021.
97. H. Niu, Z. Chu, F. Zhou, C. Pan, D. Kwan Ng, and H. Nguyen,“ Double Intelligent reflecting surface-assisted multiuser MIMO mmWave systems with hybrid precoding”, IEEE Transactions on Communications, to be published, 2021.
96. H. Niu, Z. Chu, F. Zhou, Z. Zhu, L.Zhen, and K.Wong, “Robust design for intelligent reflecting surface assisted wireless secrecy network”, IEEE Transactions on Wireless Communications, to be published, 2021.
95. Z. Chu, Z. Zhu, X. Li, F. Zhou, L. Zhen, and N. Al-Dhahir, “Resource allocation for IRS assisted wireless powered FDMA IoT networks”, IEEE Internet of Things Journal, to be published, 2021.
94. N. Qi, W. Wang, F. Zhou, L. Jia, Q. Wu, S. Jin, and M. Xiao, “Two birds with one stone: Simultaneous jamming and eavesdropping with the Bayesian-Stackelberg Game,” IEEE Transactions on Communications, 2021.
93. H. Niu, Z. Chu, F. Zhou, Z. Zhu,“Simultaneous transmission and reflection reconfigurable intelligent surface assisted secrecy MISO networks”, IEEE Communications Letters, 2021.
92. S. Ma, R. Yang, X. Deng, X. Ling, X. Zhang, F. Zhou, S. Li, and D. W. K. Ng, “Spectral and energy efficiency of ACO-OFDM in visible light communication systems”, IEEE Transactions on Wireless Communications, to be published, 2021.
91. H. Zhang, Lu Yuan*, G. Wu, F. Zhou, and Q. Wu, “Automatic modulation classification using involution based residual networks”, IEEE Wireless Communications Letters, to be published, 2021.
90. J. Ren, X. Lei, P. D. Diamantoulakis, F. Zhou, X. Tang, and O. A. Dobre, “NOMA for wireless-powered communication networks with buffered sources”, IEEE Transactions on Vehicular Technology, to be published, 2021.
89. W. Wu, Z. Wang, L. Yuan, F. Zhou, F. Lang, B. Wang, and Q. Wu, “IRS-enhanced energy detection for spectrum sensing in cognitive radio networks”, IEEE Wireless Communications Letters, to be published, 2021.
88. Q. Wu, T. Ruan, F. Zhou, Y. Huang, F. Xu, S. Zhao, Y. Liu, and X. Huang, “A unified cognitive learning framework for adapting to dynamic environment and tasks”, IEEE Wireless Communications, to be published, 2021. (Corresponding author).
87. X. Lei, M. Wu, F. Zhou, X. Tang, R. Q. Hu, and P. Fan “Reconfigurable intelligent surface-based symbiotic radio for 6G: Design, challenges, and opportunities”, IEEE Wireless Communicatons, to be published, 2021.
86. H. Zhang, F. Zhou, Q. Wu, W. Wu, and R. Q. Hu, “A novel automatic modulation classification scheme based on multi-scale networks”, IEEE Transactions on Cognitive Communications and Networks, to be published, 2021. (Corresponding author)
85. H. Niu, Z. Chu, F. Zhou, Z. Zhu, M. Zhang, and K. Wong, “Weighted sum secrecy rate maximization using intelligent reflecting surface”, IEEE Transactions on Communications, to be published, 2021.
84. D. Wang, T. He, F. Zhou, J. Cheng, R. Zhang, and Q. Wu, “Outage-driven link selection for secure buffer-aided networks”, Science China Information Sciences, to be published, 2021.
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 Transactions on Communications, 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 Transactions on Communications, to be published, 2020. (Corresponding Author)
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 Communications, 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, Chunguo Li, and B. Wang, “Resource allocation for enhancing offloading security in NOMA-enabled MEC networks,” IEEE Sys. J., to be published, 2020.(Corresponding Author)
69. S. Ma, R. Yang, Y. He, S. Lu, F. Zhou, N. Al-Dhahir and S. Li, "Achieving channel capacity of visible light communication," IEEE Sys. J., to be published, 2020.
68. Y. Zhou, H. Zhou, F. 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., vol. 68, no. 7, pp. 4022-4034, 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., vol. 24, no. 5, pp. 1081-1085, May 2020. (Corresponding author)
66. F. Zhou and R. Q. Hu, “Computation Efficiency Maximization in Wireless-Powered Mobile Edge Computing
Networks,” IEEE Trans. Wireless Commun.,vol. 19, no. 5, pp. 3170-3184, May 2020.(Corresponding Author)
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 Wireless Communications Letters., vol. 9, no.3, pp.340-343, March 2020.（Corresponding author）
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., vol. 16, no. 4, pp. 2450-2464, April 2017.
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.(Corresponding author)
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. (ESI higly cited paper) (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 Communications., vol. 27, no. 1, pp. 140-146, Feb. 2020.(ESI higly cited paper)
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 higly 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.（Corresponding author）
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. 67，no. 1, pp. 83-96, Jan. 2019. (ESI higly 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 higly 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. 8，no. 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. （Corresponding author）
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 higly cited 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 higly 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)
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 higly 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 higly 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 I，ESI higly 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 II，ESI higly cited paper）
15. Dong Qin*, Yuhao Wang, and Fuhui 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. 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.
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 with 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 Radio Networks,” 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 Primary User with Multiple Power Levels,” IET Commun., vol. 9, no. 11, pp.1396-1403, July 2015.
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. VIC Spring 2017, Sydney, June, 2017.
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Conference papers:
68.Y. Li, L. Yuan, F. Zhou, Q. Wu, N. Aldhahir, and K. Wong,“KGAMC: A Novel Knowledge Graph Driven Automatic Modulation Classification Scheme,” IEEE ICC 2024, accepted.
67.X.Song, L. Yuan, Z. Qu, F. Zhou, Q. Wu, T. Quek, and R. Hu, “Knowledge Graph Driven UAV Cognitive Semantic Communication Systems for Efficient Object Detection,”IEEE ICC 2024, accepted.
66.L. Yuan, F. Zhou, Q. Wu, D. Ng, and O. Dobre, “Channel prediction-enhanced intelligent resource allocation for dynamic spectrum-sharing networks,”IEEE ICC 2024, accepted.
65.L. Wang, W. Wu,F. Zhou, F. Tian, Q.Wu, and W. Saad, “A unified hierarchical semantic knowledge base for multi-task semantic communication,” IEEE ICC 2024, accepted.
64.W. Ren, Y. Qu, Z. Qin, C. Dong, F. Zhou, L.Zhang, and Q. Wu, “Efficient pipeline collaborative DNN inference in resource-constrained UAV swarm,” IEEE WCNC, to be published, 2023.
63.X. Yang, D. Li, F. Zhou, and N.l Al-Dhahir, “A channel robust RF fingerprint identification scheme for LTE devices based on DMRS signals,” IEEE Globecom, to be published, 2023.
62.Y. Li, Y. Qu, C. Dong, F. Zhou, L. Zhang, and Q. Wu, “Dynamic DNN Model Switching for Collaborative Edge Intelligence in UAV Swarm,” WCSP 2023, to be published, 2023.
61.Y. Wu, F. Zhou, W.Wu, Q. Wu, and D. Ng, “Robust resource allocation for RSMA-enabled spectrum sharing networks,” WCSP 2023, to be published, 2023.
60.H. Hu, X. Zhu, F. Zhou, W. Wu, and R. Hu, “Semantic-oriented resource allocation for multi-modal UAV semantic communication networks,” IEEE Globecom, to be published,2023, summitted.
59.F. Zhou, R. Ding, Q. Wu, R. Hu, and N. AI-Dhahir, “A partially observable multi-agent deep active inference framework for intelligent resource allocation allocation in wireless communications,” IEEE Globecom, to be published, 2023.
58.H. Zhang, F. Zhou, C. Dong, and Q. Wu, “A novel spatial spectrum sensing scheme by using an unmanned aerial vehicle,” IEEE ICCC, to be published, 2023.
57.B. Li, H. Hu, L. Yang, and F. Zhou, “ Game-based task offloading and resource allocation in multi-UAV-assisted MEC networks,”IEEE ICCC, to be published, 2023.
56.R. Ding, F. Zhou, Y. Qu, C. Dong, Q. Wu, and T. Quek,“Novel online-offline MA2C-DDPG for efficient spectrum allocation and trajectory optimization in dynamic spectrum sharing UAV networks,” IEEE ICCC, to be published, 2023.
55.Z. Wang, W. Wu, F. Zhou, B. Wang and Q. Wu, “Secure Resource Allocation for IRS-Assisted CRNs Under Opportunistic Spectrum Access”2023 International Conference on Ubiquitous Communication (Ucom 2023), to be published, 2023.
54.L. Wang, W. Wu and F. Zhou, “Intelligent Resource Allocation for IRS-Assisted Sensing-Enhanced Secure Communication CRNs”2023 International Conference on Ubiquitous Communication (Ucom 2023), to be published, 2023.
53.M.Xu, R. Ding, L. Yuan and F. Zhou, “An Intelligent RFFI Scheme Based on Multi-Scale Learning and Attention Mechanism,” 2023 International Conference on Ubiquitous Communication (Ucom 2023), to be published, 2023.
52.Y. Li, Y. Wu, L. Yuan, F. Zhou, and Q. Wu,“Construction of Satellite Spectrum Knowledge Graph: Ontology Design and Knowledge Application”，2023 International Conference on Ubiquitous Communication (Ucom 2023), to be published, 2023.
51.D. Han, H. Zhang, S. Wang, W. Chai, H. Zhou, and F. Zhou,, “Small Objects Recognition by Exploiting an Improved YOLOv5 Algorithm on the UAV Platform”, 2023 International Conference on Ubiquitous Communication (Ucom 2023), to be published, 2023.
50.R. Wang, H. Zhang, M. Xu, F. Zhou and Q. Wu, “A Novel Lightweight Automatic Modulation Classification Scheme Based on Inverted Residuals”, 2023 International Conference on Ubiquitous Communication (Ucom 2023), to be published​, 2023.
49. M. Xu, Y. Wu, H. Zhang, L. Yuan, Y. Wan, F. Zhou, and Q. Wu, “GAN-enabled robust backdoor attack for UAV recognition,” CCISP, to be published, 2022.
48. L. Hu, Y. Li, H. Zhang, L. Yuan, F. Zhou, and Q. Wu, “Robust semantic communications driven by knowledge graph,” The 9th International Conference on Internet of Things: Systems, Management and Security (IOTSMS 2022), to be published, 2022.
47. Z. Yu, F. Zhou, W. Zhong, Y. Wu, and Q. Wu, “Energy efficiency maximization in an IRS-assisted dual-functional radar and communication system,” WCSP, to be published, 2022.
46. R. Sun, Y. Wu, F. Zhou, and Q. Wu, “Joint trajectory design and resource allocation for UAV-assisted jamming NOMA cognitive UAV networks,” ISWCS, to be published, 2022.
45. L. Xia, Z. Yang, J. Cui, F. Zhou, Y. Wu, Z. Dong, and Z. Ding, “Delay minimization for RIS-NOMA assisted MEC networks with SWIPT,” IEEE Globecom, to be published, 2022.
44. C. Wang, Y. Wu, F. Zhou, Q. Wu, C. Dong, and K. Wong, “Accurate spectrum map construction for spectrum management: An intelligent frequency-spatial reasoning approach,” IEEE Globecom, to be published, 2022.
43. W. Wu, Z. Wang, F. Zhou, B. Wang, Q. Wu, and Naofal Al-Dhahir, “ Joint sensing and transmission optimization in IRS-assisted CRNs: Throughput maximization,” IEEE Globecom, to be published, 2022.
42. D. Wang, X. Li, L. Pang, Y. He, F. Zhou, and R. Zhang, “IRS-Aided secure mobile edge computing system for NOMA networks,” 2022 ICCC, to be published, 2022.
41. W. Wu, F. Yang, F. Zhou, H. Hu, Q. Wu, and R. Hu, “Intelligent resource allocations for IRS-assisted OFDM communications: A hybrid MDQN-DDPG approach,” IEEE ICC, to be published, 2022.
40. R. Ding, H. Zhang, F. Zhou, Q. Wu, and Z. Han, “Data-and-knowledge dual-driven automatic modulation recognition for wireless communication networks,” IEEE ICC, to be published, 2022. （Corresponding author）
39. F. Zhou, Y. Li, X. Zhang, Q. Wu, X. Lei, and R. Hu,“Cognitive semantic communication systems driven by knowledge graph,” IEEE ICC, to be published, 2022.
38. Y. Wu, F. Zhou, W. Wu, Q. Wu, R. Hu, and K. Wong, “Spectrum and energy efficiency tradeoff in IRS-assisted CRNs with NOMA: a multiple-objective optimization framework,” IEEE ICC, to be published, 2022.（Corresponding author）
37. Y. Jing, C. Dong, Y. Qu and F. Zhou, “Air-ground integrated federated learning: An experimental study,” SAGC 2021, vol. no. pp. , 2021.
36. Q. Wang, F. Zhou, H. Hu, and R. Q. Hu, “Energy-efficient design for IRS-Assisted MEC networks with NOMA”, IEEE WCSP 2021.
35. H. Hu, D. Wu, F. Zhou, R. Q. Hu, “Dynamic task offloading in MEC-enabled IoT networks: A hybrid DDPG-D3QN approach”, IEEE Globecom 2021, to be published, 2021.
34. T. He, D. Wang, F. Zhou, W. Liang, X. Tang, and D. Zhai, “Delay-aware offloading for cooperative NOMA-based near-and-far MEC networks”, 2021 IEEE/CIC International Conference on Communications in China, Xiamen, 2021.
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 Naofal AL-Dhahir, “Secure beamforming designs in MISO visible light communication networks with SLIPT,” IEEE Globecom 2020, to be published, 2020.
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 and 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, Xi'an, China, 2019.
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, Shanghai, China, 2019.
22. W. Hao, F. Zhou, Z. Chu, P. Xiao, R. Tafazolli, and Naofal Al-Dhahir, “Beam alignment for MIMO-NOMA millimeter wave communication systems,” IEEE ICC 2019, Shanghai, China, 2019.
21. W. Wu, F. Zhou, P. Li, B. Wang and Kat Kit Wong, “Energy-efficient secure NOMA-enabled mobile edge computing networks,” IEEE ICC 2019, Shanghai, China, 2019.
20. Z. Chu, W. Hao, P. Xiao, F. Zhou, and R. Qingyang Hu, “Low-latency statistical delay QoS driven energy efficiency for D2D communications”, IEEE ICC 2019, Shanghai, China, 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, Shanghai, China, 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, 2018.
17.Z. Chu, W. Hao, P. Xiao, F. Zhou, D. Mi, Z. Zhu, and V. C. M. Leung, “Energy efficient hybrid precoding in heterogeneous networks with limited wireless backhaul capacity,” IEEE Globecom 2018, Abu Dhabi, United Arab Emirates, United Arab Emirates.
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, Abu Dhabi, United Arab Emirates, United Arab Emirates.
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, Beijing, China.
14.F. Zhou, X. Zhang, R. Q. Hu and A. Papathanassiou, “Resource Allocation Based on Deep Neural Networks for Cognitive Radio Networks,” IEEE ICCC 2018, Beijing, China.
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, Z. 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, IEEE ICC 2018, Kansas City, MO. USA.
11. F. Zhou, Y. Wu, H. Sun, and Z. Chu, “UAV-Enabled Mobile Edge Computing: Offloading Optimization and Trajectory Design”, UAV-Enabled Mobile Edge Computing: Offloading Optimization and Trajectory Design.
10. H. Sun, F. Zhou, and Z. Zhang, “Robust Beamforming Design in a NOMA Cognitive Radio Network Relying on SWIPT”, IEEE ICC 2018, Kansas City, MO. USA.
9. F. Zhou, Z. Chu, H. Sun, and V. C. M. Leung, “Resource Allocation for secure MISO-NOMA Cognitive Radios Relying on SWIPT,” IEEE ICC 2018, Kansas City, MO. USA.
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.
7. F. Zhou, Z. Li, N. 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, Z. Li, J. Si, and B. Hao,“Adaptive Secondary-User Selection Without Prior Information for Cooperative Spectrum Sensing in CRNs”, in 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”, in Proc. 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.