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姓 名:徐超

职 称:副教授

办公室:信息工程学院110

邮 箱:cxu@nwafu.edu.cn

              chaoxuxdu@gmail.com

 

基本信息

  

针对网络动态智能控制机制设计这一开放性问题,研究深度强化学习,动态优化,博弈理论等理论与算法的前沿应用,获得多项学术成果。以第一作者/通讯作者发表论文18篇其中国际权威期刊10(中科院一区8中科院二区2),通信类旗帜会议文章6篇,国内重要学术刊物2篇;相关成果获得了2016年陕西省科学技术奖一等奖一项(第四完成人)、2016“陕西高等学校科学技术奖”一等奖一项(第四完成人)、2017年陕西省博士后科研成果奖励项目资助。目前,作为课题负责人,在研数据链重点实验室项目一项、陕西省林业科学院科技创新计划项目一项、西北农林科技大学引进人才专项项目一项,结题国家自然科学基金青年基金一项国家博士后科学基金面上项目一项、结题中央高校基金两项。

目前,应邀担任IEEE JSAC, IEEE Trans. Commun.IEEE Trans. Veh. Technol.IEEE Commun. LettersElectronics Letters, KSII Trans. Internet Inf. Syst.,通信学报,电信科学,IEEE GLOBECOM WorkshopIEEE ICCIEEE WCSPIEEE WCNCIEEE PIMRC以及IEEE ICCC等多个国内外著名期刊以及会议的技术委员会成员(TPC Member)和审稿人;陕西省信号处理学会理事;具有良好的科研与工程经验。

 

学术与工作经历

2017.11—至今        西北农林科技大学     信息工程学院                        副教授、硕导

2018.6—2018.9       新加坡科大SUTD     WNDS实验室                       访问学者

2015.4—2017.10     西安电子科技大学    综合业务网国家重点实验        博士后研究员

2014.6—2014.9       新加坡科大SUTD     WNDS实验室                       研究助理

2010.9—2015.3       西安电子科技大学     综合业务网国家重点实验      博士研究生(通信与信息系统)

2009.9—2010.7       西安电子科技大学    综合业务网国家重点实验      硕士研究生(通信与信息系统)

2005.9—2009.7       西安电子科技大学    通信工程学院                        本科(电子信息工程)

 

目前研究方向

1. 基于单/多智能体深度强化学习的物联网数据实时获取与可靠传输技术(已与新加坡南洋理工大学、新加坡科技与设计大学、瑞典林克平大学、浙江大学、中山大学等国内外知名高校进行了深入合作);


2. 基于联邦学习架构的分布式智能算法设计与应用;


3. 大数据驱动的数据智能预测算法设计与应用(已与中国移动陕西分公司、陕西省林业科学院等企事业单位开展了合作研究)。

 

指导学生获得的主要成果与荣誉

  • 2021.08:硕士研究生张博伟、张禹轩、乔来团、徐鸿志、张新艳以项目《基于强化学习的智能小车控制系统》获得“中国高校计算机大赛-网络技术挑战赛”(西北农林科技大学《学科竞赛目录》国家级B类)西北赛区一等奖

  • 2021.06:本科生谢益平,学生第一作者身份发表中科院一区SCI(通信领域顶刊)论文基于深度强化学习的动态控制方向"Optimal status update for caching enabled IoT networks: A dueling deep R-Network approach,"  IEEE Transactions on Wireless Communications,  accepted for publication.

  • 2021.06:本科生计算机173班张禹轩,本科毕设论文《无线边缘网络中面向 Federated Learning 的动态调度算法设计》被评为2021届校本科“百篇优秀毕业论文(设计)”(基于联邦学习架构的分布式智能算法设计与应用方向)

  • 2021.06:2019级硕士研究生吴梦洁,第一作者发表EI检索论文基于深度强化学习的动态控制方向),“AoI optimal UAV trajectory planning: A Deep Recurrent Reinforcement Learning Approach”,IEEE PIMRC WKSHP, accepted for publication。

  • 2020.12:硕士研究生吴亚斌、张博伟获得“华为杯”第十七届中国研究生数学建模竞赛(西北农林科技大学《学科竞赛目录》国家级A类)三等奖

  • 2020.09:本科生信管163班赵楠,第一作者发表EI检索论文基于深度强化学习的动态控制方向),“Status Update for Correlated Energy Harvesting Sensors: A Deep Reinforcement Learning Approach”, IEEE WCSP, accepted for publication。

  • 2019.06:本科生信管151班谢玮堃,本科毕设论文《IoT (Internet of Things) 网络中面向信息新鲜度的数据分发策略》被评为2019届校本科“百篇优秀毕业论文(设计)”基于深度强化学习的动态控制方向)。

 

招生信息

一、招生名额:2022年,待招收学硕1-2名,工硕2-3名。


二、招生要求:

1. 具有良好的数学和英语基础,最具有机器学习研究与实现经验的同学可优先考虑;2. 具有进行学术研究的兴趣,具备前往国内外知名大学进行进一步深造的需求。


三、研究方向:

1. 基于单/多智能体深度强化学习的物联网数据实时获取与可靠传输技术(已与新加坡南洋理工大学、新加坡科技与设计大学、瑞典林克平大学、浙江大学、中山大学等国内外知名高校进行了深入合作);


2. 基于联邦学习架构的分布式智能算法设计与应用;


3. 大数据驱动的数据智能预测算法设计与应用(已与中国移动陕西分公司、陕西省林业科学院等企事业单位开展了合作研究)。


四、所提供支持:

为学生提供前往国内外知名大学进行学术交流的机会和资助,便于其掌握所在研究领域的前沿进展,为进一步前往知名大学深造提供交流平台和知识储备。


有兴趣的同学可以和我联系(cxu@nwafu.edu.cn),期待你的加入!

 

开设课程

本科生课程:数字信号处理,信号与系统,程序设计基础(C)


研究生课程:强化学习与动态控制

 

学术成果

学术奖励:

  1. 1. 陕西省科学技术奖,一等奖,分层无线网络组网理论与方法(第四完成人),完成人:盛敏,王玺钧,李长乐,徐超,刘家佳等,2016。 

  2. 2. 陕西高等学校科学技术奖,一等奖,分层无线网络组网理论与方法(第四完成人),完成人:盛敏,王玺钧,李长乐,徐超,刘家佳等,2016。

  3. 3. 2017年陕西省博士后科研成果奖励项目资助,2017。 


学术论文:


2021年

第一作者或者通讯作者文章:

  1. 1. C. Xu, Y. Xie (undergraduate student), X. Wang, H. H. Yang, D. Niyato, and T. Q. Quek, "Optimal status update for caching enabled IoT networks: A dueling deep R-Network approach, IEEE Transactions on Wireless Communications, Jun. 2021, accepted for publication. (SCI检索, 中科院1区,通信领域顶刊,top期刊,影响因子6.779, CCF B期刊)

  2. 2. H. H. Yang, Chao Xu(通讯作者), X. Wang, D. Feng and T. Q. S. Quek, "Understanding Age of Information in Large-Scale Wireless Networks," IEEE Transactions on Wireless Communications, Jan. 2021, accepted for publication. (SCI检索, 中科院1区,通信领域顶刊,top期刊,影响因子6.779, CCF B期刊)

  3. 3. X. Wang, W. Lin, Chao Xu(通讯作者), X. Sun and X. Chen, "Age of Changed Information: Content-Aware Status Updating in the Internet of Things," IEEE Transactions on Communications, Jan. 2021, accepted for publication, Oct. 2021, accepted for publication. . (SCI检索, 中科院1区,top期刊,影响因子5.083, CCF B期刊)

  4. 4. M. Wu, H. Chi, S. Gan, X. Wang, and Chao Xu(通讯作者),"AoI optimal UAV trajectory planning: A Deep Recurrent Reinforcement Learning Approach",IEEE PIMRC WKSHP, Jun. 2021,  accepted for publication(EI检索, accepted for publication)


其他合作文章:


  1. 1. M. Fang, X. Wang, Chao Xu, H. H. Yang, H. Sun, and  T. Q. S. Quek, "Computing-aided Update for Information Freshness in the Internet of Things," Jan. 2021, IEEE Conference on Computer Communications (INFOCOM) workshop, accepted for publication. (EI检索, CCF A会议)


2020年

第一作者或者通讯作者文章:

  1. 1. Chao Xu, H. H. Yang, X. Wang, and  T. Q. S. Quek, "Optimizing Information Freshness in Computing enabled IoT Networks,", IEEE Internet of Things Journal, Feb. 2020, 7 (2): 971 - 985. (SCI检索, 中科院1区,top期刊,影响因子9.515, 截至Oct. 2021被引用31次)

  2. 2. Chao Xu, X. Wang, H. H. Yang, H. Sun, and  T. Q. S. Quek, "AoI and Energy Consumption Oriented Dynamic Status Updating in Caching Enabled IoT Networks," Feb. 2020, IEEE Conference on Computer Communications (INFOCOM) workshop, accepted for publication. (EI检索, CCF A会议)

  3. 3. N. Zhao (undergraduate student), Chao Xu, S. Zhang, Y. Xie (undergraduate student), X. Wang, and H. Sun, "Status Update for Correlated Energy Harvesting Sensors: A Deep Reinforcement Learning Approach," Sep. 2020. (EI检索, accepted for publication)

 

其他合作文章:


  1. 1. H. Sun,  H. H. Yang, X. Wang, Chao Xu, and  T. Q. S. Quek, "Performance Analysis for Multi-Antenna Small Cell Networks with Clustered Dynamic TDD," May 2020, IEEE GLOBECOM, accepted for publication. (EI检索, CCF C会议)

  2. 2. W. Lin, X. Wang, Chao Xu, X. Sun, and X. Chen, "Average Age of Changed Information in the Internet of Things,", Feb. 2020, IEEE Wireless Communications and Networking Conference  (WCNC), accepted for publication. (EI检索, CCF C会议)

  3. 3. H. Sun, X. Wang, Chao Xu, Y. Zhang, and  T. Q. S. Quek, "Performance Analysis for Drone-Assisted HetNets with Flexible Cell Association,", Jan. 2020, IEEE International Conference on Communications (ICC), accepted for publication. (EI检索, CCF C会议)

  4. 4. Y. Yang, S. Zhang, F. Gao, Chao Xu,  J. Ma, and O. A. Dobre,"Deep Learning Based Antenna Selection for Channel Extrapolation in FDD Massive MIMO," Sep. 2020. (EI检索, accepted for publication)

  5. 5. Y. Nan, H. Sun, H. Shen, S. Li, H. Zhang, and  "Uplink Performance Analysis of Cellular-Based Energy Harvesting IoT Networks," Sep. 2020. (EI检索, accepted for publication)


2019年      


  第一作者或者通讯作者文章:


  1. 1. Chao Xu, H. H. Yang, X. Wang, and  T. Q. S. Quek, "On Peak Age of Information in Data Preprocessing enabled IoT Networks,", Feb. 2019, IEEE Wireless Communications and Networking Conference  (WCNC), accepted for publication. (EI检索, CCF C会议)

  2. 2. Chao Xu and X. Wang, "Transient Content Caching and Updating With Modified Harmony Search for Internet of Things," Digital Communications and Network, accepted for publication, Feb. 2019, 5(1): 24-33. (SCI检索, 中科院1区,top期刊,影响因子5.382)


2019年以前

第一作者或者通讯作者文章:

 

  1. 1. Chao Xu, M. Sheng, X. Wang, C. Wang, and J. Li, “Distributed Subchannel Allocation for Interference Mitigation in OFDMA Femtocells: A Utility-based Learning Approach,” IEEE Transactions on Vehicular Technology, Jun. 2015, 64 (6): 2463-2475. (中科院 2, 影响因子4.432)

  2. 2. Chao Xu, M. Sheng, C. Yang, X. Wang, and L. Wang, “Pricing-Based Multiresource Allocation in OFDMA Cognitive Radio Networks: An Energy Efficiency Perspective,” IEEE Transactions on Vehicular Technology, Jun. 2014, 63 (5): 2336-2348. (中科院 2, 影响因子4.432)

  3. 3. M. Sheng, Chao Xu(通讯作者), X. Wang, Y. Zhang, W. Han, and J. Li, “Utility-Based Resource Allocation for Multi-Channel Decentralized Networks” IEEE Transactions on Communications, Oct. 2014, 62 (10): 3610-3620. (中科院 1, 影响因子5.083)

  4. 4. M. Sheng, Chao Xu(通讯作者), J. Liu, J. Song, X. Ma, and J. Li, “Enhancement for Content Delivery with Proximity Communications in Caching Enabled Wireless Networks: Architecture and Challenges,” IEEE Communications Magazine, Aug. 2016, 54 (8): 70 - 76. (中科院 1, 影响因子9.27)

  5. 5. Chao Xu, M. Sheng, V. S. Varma, and T. Q. S. Quek, “Wireless Service Provider Selection and Bandwidth Resource Allocation in Multi-Tier HCNs,” IEEE Transactions on Communications, Dec. 2016, 64 (12): 5108 - 5124. (中科院 11区, 影响因子5.083).

  6. 6. 徐超, 盛敏, 杨春刚, 马骁, “认知Wi-Fi网络中使用相关均衡的频谱共享算法,” 西安电子科技大学学报, 2014年6月, 41(3): 95-102+109. (EI检索)

  7. 7. 徐超, 盛敏, 张琰, “多业务混合模型下的蜂窝系统性能分析,” 北京邮电大学学报, 2013年6月, 36(3): 102-107. (EI检索)

  8. 8. Chao Xu, V. S. Varma, M. Sheng, and T. Q. S. Quek, “A Hierarchical Game Approach to WSP Selection and Bandwidth Allocation in Multi-tier HCNs,” 2015 IEEE Global Communications Conference (GLOBECOM), 2015.12.6-2015.12.10. (EI检索, CCF C会议)

  9. 9. Chao Xu, T. Li, M. Sheng, and J. Li, “Self-organized Dynamic Caching Space Sharing in Virtualized Wireless Networks,” Dec. 2016, 2016 IEEE Global Communications Conference (GLOBECOM) Workshop. (EI检索, CCF C会议)


其他合作文章:


  1. 1. M. Sheng, L. Wang, X. Wang, Y. Zhang, Chao Xu, and J. Li, “Energy Efficient Beamforming in MISO Heterogeneous Cellular Networks with Wireless Information and Power Transfer,” IEEE Journal on Selected Areas in Communications, Apr. 2016, 34 (4): 954-968. (中科院 1, 影响因子7.172)

  2. 2. D. Zhai ,M. Sheng,X. Wang,Z. Sun, J. Li, and Chao Xu, “Energy-Saving Resource Management for D2D and Cellular Coexisting Networks Enhanced by Hybrid Multiple Access Technologies,” IEEE Transactions on Wireless Communications, accepted for publication. (中科院 1, 影响因子5.888)

  3. 3. M. Sheng, X. Li, X, Wang, and Chao Xu, “Topology Control with Successive Interference Cancellation in Cognitive Radio Networks,” IEEE Transactions on Communications, accepted for publication. (中科院 1, 影响因子5.083)

  4. 4. J. Song, M. Sheng, T. Q. S. Quek, Chao Xu, and X. Wang, “Learning Based Content Caching and Sharing for Wireless Networks,” IEEE Transactions on Communications, accepted for publication. (中科院 1, 影响因子5.083)

  5. 5. L. Wang, M. Sheng, Y. Zhang, X. Wang, and Chao Xu, “Robust Energy Efficiency Maximization in Cognitive Radio Networks: the Worst-Case Optimization Approach,” IEEE Transactions on Communications, Jan. 2015, 63 (1): 51-65. (中科院 1, 影响因子5.083)

  6. 6. R. Liu, M. Sheng, J. Li, Chao Xu, X. Wang, and D. Zhou, “Antenna Slewing Time Aware Mission Scheduling in Space Networks,” IEEE Communications Letters, accepted for publication. (中科院 3, 影响因子2.723)

  7. 7. 杨春刚, 徐超, 盛敏, 李建东, 李红艳,“认知Wi-Fi2.0网络:未来智能无线局域网,” 通信学报,2012年11月,33(Z2): 71-79. (EI检索)

  8. 8. 李建东, 滕伟, 盛敏, 徐超, “超高密度无线网络的自组织技术,” 通信学报, 2016年7月, 37 (7): 30-37. (EI检索)

  9. 9. 李建东, 刘磊, 盛敏, 徐超, “面向5G 无线网络的智能干扰管理技术,” 电信科学, 2016年7月, 32(6): 3-14. (EI检索)

  10. 10. J. He, Chao Xu, S. Bian, Z. Shao, J. Song, Y. Li, and Chih-Lin I, “Energy Efficient BSs Switching in Heterogeneous Networks: An Operator's Perspective,” 2016 IEEE Wireless Communications and Networking Conference (WCNC), 2016.4.3-2016.4.6. (EI检索)

  11. 11. D. Zhou, M. Sheng, J. Li, Chao Xu, R. Liu, and Y. Wang, “Toward High Throughput Contact Plan Design in Resource-Limited Small Satellite Networks”, 2016 IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), accepted for publication. (EI检索)

  12. 12. D. Zhou, M. Sheng, King-Shan Lv, X. Wang, R. Liu, Chao Xu, and Y. Wang, “Lifetime Maximization Routing with Guaranteed Congestion Level for energy-constrained LEO Satellite Networks,” 2016 IEEE Vehicular Technology Conference: VTC2016-Spring , 2016.5.15-2016.5.18. (EI检索)

  13. 13. C. Yang, J. Li, M. Sheng, H. Li, Q. Liu, and Chao Xu, “Hierarchical Power Control in Cognitive Networks,” 2013 IEEE Vehicular Technology Conference (VTC) Spring,2013.6.2-2013.6.5. (EI检索)


 

 

在读学生

  • 2019级硕士:


吴梦洁(学硕),张新艳(工硕)



  • 2020级硕士:


吴亚斌(学硕),迟慧佳(工硕),淦述莹(工硕),徐鸿志(工硕),张博玮(工硕)


 

  • 2021级硕士:


张禹轩(学硕),乔来团(学硕),黄自桢(工硕),曾繁江(工硕),仇天昊(工硕)



  • 2022级硕士:


谢益平(学硕),于军超(学硕)



 

毕业学生

 

 

Name:Chao Xu

Professional Title:Associate Professor

Office:School of Information Engineering, 110

Tel:

Email:cxu@nwafu.edu.com/chaoxuxdu@gmail.com

 

Personal Information
  

2010.09—2015.03    Xidian University  Major in Communication and Information Systems

Doctor degree

2009.09—2010.07    Xidian University   Major in Communication and Information Systems

Master-doctor combined program

2005.09—2009.07    Xidian University   Major in Electronic Information Engineering

Bachelor degree

Working Experience

2017.10—Present       Northwest A&F University   School of Information Engineering  

Associate Professor

2015.04—2017.10     Xidian University           School of Telecommunications Engineering

    Postdoctoral fellow

Academic Participation

Dr. Xu is serving as the Technical Program Committee member and peer-review expert for many international journals and conferences members, such as IEEE Trans. Commun., IEEE Trans. Veh. Technol.,  IEEE Commun. Letters, KSII Trans. Internet Inf. Syst., GLOBECOM Workshop, IEEE ICC, IEEE WCSP,  IEEE WCNC, IEEE PIMRC, and IEEE ICCC.

 

Research Directions

Dr. Xu’s research interests include dynamic resource management in IoT, energy efficient transmission, distributed algorithm design, and the applications of game theory and learning theory in big date enabled wireless communications.

 

Curriculum
Signals and Systems

 

Academic Achievement
  1. Science and Technology Awards in Shaanxi Province, the first prize, 2016.
  2. Science and Technology Awards for Educational Institutions in Shaanxi Province, the first prize, 2016.
  3. Postdoctoral Research Achievement Award in Shaanxi province, 2017.

  Publications:

     First/Corresponding Author:

  1. 1. Chao Xu, M. Sheng, X. Wang, C. Wang, and J. Li, “Distributed Subchannel Allocation for Interference Mitigation in OFDMA Femtocells: A Utility-based Learning Approach,” IEEE Transactions on Vehicular Technology, Jun. 2015, 64 (6): 2463-2475. (SCI, IF: 4.432)
  2. 2. Chao Xu, M. Sheng, C. Yang, X. Wang, and L. Wang, “Pricing-Based Multiresource Allocation in OFDMA Cognitive Radio Networks: An Energy Efficiency Perspective,” IEEE Transactions on Vehicular Technology, Jun. 2014, 63 (5): 2336-2348. (SCI, IF: 4.432)
  3. 3. M. Sheng, Chao Xu(通讯作者), X. Wang, Y. Zhang, W. Han, and J. Li, “Utility-Based Resource Allocation for Multi-Channel Decentralized Networks” IEEE Transactions on Communications, Oct. 2014, 62 (10): 3610-3620. (SCI, IF: 4.671)
  4. 4. M. Sheng, Chao Xu(通讯作者), J. Liu, J. Song, X. Ma, and J. Li, “Enhancement for Content Delivery with Proximity Communications in Caching Enabled Wireless Networks: Architecture and Challenges,” IEEE Communications Magazine, Aug. 2016, 54 (8): 70 - 76. (SCI, IF: 9.27)
  5. 5. Chao Xu, M. Sheng, V. S. Varma, and T. Q. S. Quek, “Wireless Service Provider Selection and Bandwidth Resource Allocation in Multi-Tier HCNs,” IEEE Transactions on Communications, Dec. 2016, 64 (12): 5108 - 5124. (SCI, IF: 4.671).
  6. 6. Chao Xu, V. S. Varma, M. Sheng, and T. Q. S. Quek, “A Hierarchical Game Approach to WSP Selection and Bandwidth Allocation in Multi-tier HCNs,” 2015 IEEE Global Communications Conference (GLOBECOM), 2015.12.6-2015.12.10. (EI)
  7. 7. Chao Xu, T. Li, M. Sheng, and J. Li, “Self-organized Dynamic Caching Space Sharing in Virtualized Wireless Networks,” Dec. 2016, 2016 IEEE Global Communications Conference (GLOBECOM) Workshop, accepted for publication. (EI)
  8. 8.  Chao Xu and X. Wang, "Transient Content Caching and Updating With Modified Harmony Search for Internet of Things," Oct. 2018, Digital Communications and Network, accepted for publication. (ESCI)

     Co-author:

  1. 1. M. Sheng, L. Wang, X. Wang, Y. Zhang, Chao Xu, and J. Li, “Energy Efficient Beamforming in MISO Heterogeneous Cellular Networks with Wireless Information and Power Transfer,” IEEE Journal on Selected Areas in Communications, Apr. 2016, 34 (4): 954-968. (SCI, IF: 7.172)
  2. 2. D. Zhai ,M. Sheng,X. Wang,Z. Sun, J. Li, and Chao Xu, “Energy-Saving Resource Management for D2D and Cellular Coexisting Networks Enhanced by Hybrid Multiple Access Technologies,” IEEE Transactions on Wireless Communications, accepted for publication. (SCI, IF: 5.888)
  3. 3. M. Sheng, X. Li, X, Wang, and Chao Xu, “Topology Control with Successive Interference Cancellation in Cognitive Radio Networks,” IEEE Transactions on Communications, accepted for publication. (SCI, IF: 4.671)
  4. 4. J. Song, M. Sheng, T. Q. S. Quek, Chao Xu, and X. Wang, “Learning Based Content Caching and Sharing for Wireless Networks,” IEEE Transactions on Communications, accepted for publication. (SCI, IF: 4.671)
  5. 5. L. Wang, M. Sheng, Y. Zhang, X. Wang, and Chao Xu, “Robust Energy Efficiency Maximization in Cognitive Radio Networks: the Worst-Case Optimization Approach,” IEEE Transactions on Communications, Jan. 2015, 63 (1): 51-65. (SCI, IF: 4.671)
  6. 6. R. Liu, M. Sheng, J. Li, Chao Xu, X. Wang, and D. Zhou, “Antenna Slewing Time Aware Mission Scheduling in Space Networks,” IEEE Communications Letters, accepted for publication. (SCI, IF: 2.723)
  7. 7. J. He, Chao Xu, S. Bian, Z. Shao, J. Song, Y. Li, and Chih-Lin I, “Energy Efficient BSs Switching in Heterogeneous Networks: An Operator's Perspective,” 2016 IEEE Wireless Communications and Networking Conference (WCNC), 2016.4.3-2016.4.6. (EI)
  8. 8. D. Zhou, M. Sheng, J. Li, Chao Xu, R. Liu, and Y. Wang, “Toward High Throughput Contact Plan Design in Resource-Limited Small Satellite Networks”, 2016 IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), accepted for publication. (EI)
  9. 9. D. Zhou, M. Sheng, King-Shan Lv, X. Wang, R. Liu, Chao Xu, and Y. Wang, “Lifetime Maximization Routing with Guaranteed Congestion Level for energy-constrained LEO Satellite Networks,” 2016 IEEE Vehicular Technology Conference: VTC2016-Spring , 2016.5.15-2016.5.18. (EI)
  10. 10. C. Yang, J. Li, M. Sheng, H. Li, Q. Liu, and Chao Xu, “Hierarchical Power Control in Cognitive Networks,” 2013 IEEE Vehicular Technology Conference (VTC) Spring,2013.6.2-2013.6.5. (EI)
 

 

Current Undergraduate
 

 

Graduated Student