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曹雪妍

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发布时间:2023-09-13
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一、基本信息

姓名:曹雪妍

性别:女

出生年月:1994.9

民族:汉族

政治面貌:群众

籍贯:内蒙古赤峰市

职称:研究员

邮箱:caoxueyan98@imu.edu.cn;caoxueyan98@126.com

地址:内蒙古大学北校区


二、教育背景

2018.09-2023.06,北京邮电大学,信息与通信工程,博士

2017.09-2018.09,北京邮电大学,信息与通信工程,硕士(硕博连读)

2013.09-2017.06,北京邮电大学,应用物理学,学士


三、工作经历

2023.07-至今 内蒙古大学电子信息工程学院,研究员,硕士生导师


四、授课情况

主讲本科生课程《计算机网络》,研究生课程《现代通信理论与系统》

五、研究方向

无线通信网络中的传输理论、组网关键技术、资源分配等。智能超表面技术、通感一体化技术。

六、科研成果

1、项目情况

(1) 国家自然科学基金青年基金项目,智能反射面辅助的通信、传能与计算一体化理论与方法,2025.01-2027.12,主持

(2) 内蒙古自治区国家自然科学基金青年基金项目,智能反射面辅助的车联网通信与计算一体化研究,2024.01-2026.12,主持

(3) 内蒙古大学骏马计划高层次引进人才科研启动项目B2岗,2023.09-2027.09,主持

(4) 内蒙古自治区本级事业单位高层次人才引进科研支持,2024.01-2025.12,主持

2、代表性论文

(1) X. Cao, K. Sun and S. Wang, "Collaborative Transmission and Resource Management in IRS-Aided Wireless-Powered Mobile Edge Computing Systems," IEEE Internet of Things Journal, doi: 10.1109/JIOT.2024.3439309.

(2) X. Cao, S. Wang and Y. Zhang, "Intelligent Reflecting Surface Enhanced Maritime Joint Sensing and Communication Systems: Performance Optimization," IEEE Transactions on Communications, doi: 10.1109/TCOMM.2024.3445297.

(3) X. Cao, S. Wang and X. Wu, "Resource Management for Differentiated Computation Capability in IRS-Aided Wireless Powered Mobile Edge Computing Systems," IEEE Transactions on Vehicular Technology, doi: 10.1109/TVT.2024.3450960. 

(4) X. Cao, S. Wang and X. Wu, "Energy-Efficient Resource Allocation in Intelligent Reflecting Surface Aided Wireless Powered Mobile Edge Computing Systems," Proc. IEEE/CIC Int. Conf. Commun. (ICCC), Denver, CO, USA, 2024, pp. 840-845,

(5) X. Cao, X. Hu, and M. Peng, "Feedback-based beam training for intelligent reflecting-surface aided mmWave integrated sensing and communication", IEEE Transactions on Vehicular Technology, vol. 72, no. 6, pp. 7584-7596, June 2023.

(6) S. Yan, M. Peng, X. Cao, "A game theory approach for joint access selection and resource allocation in UAV assisted IoT communication networks", IEEE Internet of Things Journal, vol.6, no.1, pp. 1663-1674, 2019.

(7) X. Cao, X. Hu, and M. Peng, "Joint mode selection and beamforming for IRS-aided maritime cooperative communication systems," IEEE Transactions on Green Communications and Networking, vol. 7, no. 1, pp. 57-69, Mar. 2023.

(8) X. Cao, H. Zhang, and M. Peng, "Collaborative multiple access and energy-efficient resource allocation in distributed maritime wireless networks," China Communications, vol. 19, no. 4, pp. 137-153, Apr. 2022.

(9) X. Cao, S. Yan, and H. Zhang, "Resource allocation for network profit maximization in NOMA-based F-RANs: a game-theoretic approach". Frontiers of Information Technology & Electronic Engineering, vol. 23, no. 10, pp. 1546-1562, Oct. 2022.

(10) X. Cao, X. Hu, and M. Peng, "Location information aided beamforming for multi-IRS-assisted wideband mmWave communication systems, " submitted to IEEE Transactions on Wireless Communications.

(11) X. Cao, S. Yan, and M. Peng, "Mmwave-based beamforming for capacity maximization in UAV-aided maritime communication networks," Proc. IEEE/CIC Int. Conf. Commun. (ICCC), 2021, pp. 451-456.

(12) X. Cao, C. Liu, and M. Peng, "Energy-efficient mobile edge computing in NOMA-based wireless networks: A game theory approach," Proc. IEEE Int. Conf. Commun. (ICC), 2020, pp. 1-6.

(13) X. Cao, M. Peng, and Z. Ding, "A game-theoretic approach of resource allocation in NOMA-based fog radio access networks," Proc. IEEE VTC Fall, 2019, pp. 1-5.

(14) X. Cao, C. Hu, and S. Yan, "A matching game approach for joint resource allocation and user association in fog radio access networks," Proc. IEEE/CIC Int. Conf. Commun. (ICCC) Workshops, 2018, pp. 277-281.

(15) S. Yan, X. Cao, Z. Liu, X. Liu. Interference management in 6G space and terrestrial integrated networks: Challenges and approaches, Intelligent and Converged Networks, vol. 1, no. 3, pp. 271-280, 2020.

3、发明专利

(1) 彭木根,曹雪妍,闫实,刘雅琼,一种雾无线接入网络的资源调配方法和装置,ZL 201910175944.5, 2020.12.01

(2) 张洪铭,曹雪妍,彭木根,一种海上船舶设备的入网方法、装置及系统,ZL 202110713248.2, B. 2022.10.04

(3) 张洪铭,曹雪妍,彭木根,一种海上无线通信方法、装置、存储介质及电子设备。ZL 202110989263.X, 2024.04.02

(4) 曹雪妍,崔俊,王树彬,一种RIS辅助的车联网无线感知与通信方法,实审中