Name：Juan Zhou

Degrees: Ph.D

Title：Lecturer

Department：College of Communication Engineering

Research interests：Co-time co-frequency full duplex (CCFD), interference cancellation

Research team：Wireless Communication and Congnitive

E-mail：zhoujuan@cuit.edu.cn

【Biography】

Education

　Received the MS, and PhD degrees in communications and information systems from UESTC, in 2009, and 2013, respectively.

Employment

　2013-2015: Engineer, HUAWEI Technologies Co., Ltd, Chengdu, China.

2015-present: Lecturer, College of Communication Engineering, Chengdu University of Information Technology (CUIT), Chengdu, China.

【Courses &Teaching】

Undergraduate course：Principles of Communications

【Projects】

[1] Research on Position Selection Optimization for Full-Duplex Cognitive Radio， National Natural Science Foundation of China，National-level Project

[2] FPGA Implementation of WCDMA Uplink Signal Capture，The Fifth Research Institute of Telecommunications Science and Technology

[3] Algorithm Processing for WCDMA Signal Reception and Transmission

[4] Development of Intelligent Measurement and Control Physical Layer Link

Parameter Measurement and Modulation Recognition Analysis Software

【Publications】

[1] Zhou J, Shen Y, Chen C, et al. Efficient scheme for attenuators and phase shifters adjustment in analogue self‐interference cancellation for full‐duplex systems[J]. IET Communications, 2020, 14(16): 2716-2722.

[2] Zhou J, Shen Y, Li L, et al. Efficient pilot design scheme for OFDM‐based full‐duplex systems[J]. IET Communications, 2020, 14(19): 3340-3349.

[3] Juan Zhou, Ying Shen, Youxi Tang. Optimal Antenna Location of Secondary User for Spectrum Sensing in Cognitive Radio Networks. IEEE Communications Letters, 17(9): 1746-1749, 2013.

[4] Juan Zhou, Ying Shen, Youxi Tang. Performance Analysis of Energy Detection over Composite Rayleigh and Shadowed Fading Channels. Electronics Letters, 48(20): 1309-1311, 2012.

[5] Juan Zhou, Ying Shen, Shihai Shao, Youxi Tang. Cooperative Spectrum Sensing Scheme with Hard Decision Based on Location Information in Cognitive Radio Networks[J]. Wireless Personal Communications, 71(4): 2637-2656, 2013.

[6] Juan Zhou, Ying Shen, Shihai Shao, Youxi Tang. Optimal Location of the Secondary Base Station for Broadcasting Cognitive Radio Networks with Spectrum Underlay[J]. Wireless Personal Communications, 75(2): 1331-1342, 2014.

[7] Ying Shen, Juan Zhou, Youxi Tang. Digital Self-Interference Cancellation in Wireless Co-time and Co-frequency Full-Duplex System，Wireless Personal Communications, 82(4): 2557-2565, 2015.

[8] Juan Zhou, Youxi Tang, Shihai Shao, Jinxiang Xia. A Real Time Power Control Method for Wireless Mobile Communications System. IEEE International Conference on Wireless Communications, Networking and Mobile Computing, Chengdu, China, 1-4, 2010.

[9] Juan Zhou, Ying Shen, Youxi Tang. Peak-to-Average Power-Ratio Reduction Scheme Employing Fountain Codes. Proc. ICST Wireless Internet Conference (WICON), Xian, China, 67-72, 2011.

[10] Juan Zhou, Qingqing Wu, Gong Chen, etc. Modulation Analysis in Wireless Co-time Co-frequency Full Duplex. IEEE International Conference on Communication Technology(ICCT), Chengdu, China, 2017.

[11] Juan Zhou, Ying Shen, Gong Chen, etc. Analysis of RF Channel Isolation Impact in Wireless Co-time Co-frequency Full Duplex. International Conference on Swarm Intelligence(ICSI), Chengdu, China, 2017.

[12] Tian Liu, Shihai Shao, Daixiong Ye, Youxi Tang, Juan Zhou. Visual Cognitive Radio. Concurrency & Computation Practice & Experience, 24 (11) :1252-1260, 2012.

【Patents】

[1] Juan Zhou, Youxi Tang. Wireless measurement method and device for the transmit power of base station. Patent Number: 102638819B.

[2] Juan Zhou, Shihai Shao, Youxi Tang, Jinxiang Xia. A power control method based on visual cognition. Patent Number: 101917756B.

[3] Juan Zhou, Ying Shen, Meng He, Yajuan Xue, Yang Zhou. A RF self-interference suppression method based on correlation energy. Patent application number: 201710620325.3.

[4] Juan Zhou, Xiaofeng Wu, Ying Shen, Yao Huang. Method of eliminating the influence of RF leakage signal in the process of full duplex self-interference suppression. Patent application number : 201711085389.4。