赵宜升
讲师
教育背景:
2010/09-2013/09,北京邮电大学,通信与信息系统,博士
2007/09-2010/06,重庆邮电大学,通信与信息系统,硕士
2002/09-2006/06,安徽师范大学,通信工程,学士

工作和留学经历:
2016/04-2017/04,加拿大英属哥伦比亚大学,电气与计算机工程系,访问学者
2013/11-至今,福州大学,物理与信息工程学院,通信工程系,讲师

研究兴趣:
能量收集通信
移动边缘计算
无人机通信
磁感应能量传输和通信
无线通信与网络
无线资源管理
信道估计、信道预测、自适应调制编码

硕士生导师,招生专业:通信与信息系统、信号与信息处理、电子与通信工程
办公室:福州大学旗山校区物理与信息工程学院南楼414
邮箱:zhaoys@fzu.edu.cn


Education Background:
Sept. 2010-Sept. 2013, Ph.D. in Communication and Information System, Beijing University of Posts and Telecommunications, China
Sept. 2007-June 2010, M.E. in Communication and Information System, Chongqing University of Posts and Telecommunications, China
Sept. 2002-June 2006, B.E. in Communication Engineering, Anhui Normal University, China

Professional Experiences:
Apr. 2016-Apr. 2017, Visiting Scholar, Department of Electrical and Computer Engineering, The University of British Columbia, Canada
Nov. 2013-Present, Assistant Professor, Department of Communication Engineering, College of Physics and Information Engineering, Fuzhou University, China

Research Interests:
Energy Harvesting Communication
Mobile Edge Computing
Unmanned Aerial Vehicle (UAV) Communication
Magnetic Induction Energy Transfer and Communication
Wireless Communication and Networking
Radio Resource Management
Channel Estimation, Channel Prediction, Adaptive Modulation and Coding

Master Supervisor: Communication and Information System, Signal and Information Processing, Electronic and Communication Engineering
Office: Room 414, South Building, College of Physics and Information Engineering, Qishan Campus, Fuzhou University
E-mail: zhaoys@fzu.edu.cn
 
 
学术及社会兼职(Academic and social work)  
1IEEE Member
 
科研项目(Research project)  
12015J05122高速铁路LTE-R通信系统的链路自适应研究4万元福建省自然科学基金青年项目2015/04-2018/041主持
22014-XY-30能量收集通信系统的资源管理算法研究2万元福州大学科技发展基金项目2014/06-2016/081主持
3XRC-1403高速铁路通信系统链路自适应技术研究6万元福州大学人才基金项目2014/03-2017/021主持
 
科技论著(Scientific treatise)  
1Energy-Efficient Sub-Carrier and Power Allocation in Cloud-Based Cellular Network With Ambient RF Energy HarvestingIEEE Access, vol. 5, pp. 1340-1352, Mar. 2017SCI1
2Echo State Network for Fast Channel Prediction in Ricean Fading ScenariosIEEE Communications Letters, vol. 21, no. 3, pp. 672-675, Mar. 2017SCI1
3Moore State Machine for Adaptive Modulation and Coding in High-Speed Railway LTE-R SystemsElectronics Letters, vol. 52, no. 9, pp. 776-777, Apr. 2016SCI1
4Adaptive Modulation and Frame Length Method Based on Moore State Machine in LTE-R Communication SystemIET Communications, 2020, AcceptedSCI2
5Admission Control Scheme for Handover Service in High-Speed Train Communication SystemJournal of Shanghai Jiaotong University (Science), vol. 20, no. 6, pp. 670-675, Dec. 2015EI1
6Noisy Chaotic Neural Network for Resource Allocation in High-Speed Train OFDMA SystemTransactions of Tianjin University, vol. 20, no. 5, pp. 368-374, Oct. 2014EI1
7Dynamic Resource Allocation for High-Speed Railway Downlink MIMO-OFDM SystemJournal of Southeast University (English Edition), vol. 28, no. 3, pp. 266-271, Sept. 2012EI1
8Uplink Resource Allocation in Mobile Edge Computing-Based Heterogeneous Networks with Multi-Band RF Energy HarvestingProc. IEEE International Conference on Communications (ICC), May 2018, pp. 1-6EI1
9Energy-Efficient Resource Allocation in Cellular Network with Ambient RF Energy HarvestingProc. IEEE Wireless Communications and Networking Conference (WCNC), Mar. 2017, pp. 1-6EI1
10Resource Allocation for High-Speed Railway Downlink MIMO-OFDM System Using Quantum-Behaved Particle Swarm OptimizationProc. IEEE International Conference on Communications (ICC), June 2013, pp. 936-940EI1
11Multidimensional Resource Allocation Strategy for High-Speed Railway MIMO-OFDM SystemProc. IEEE Global Communications Conference (GLOBECOM), Dec. 2012, pp. 1671-1675EI1
12Radio Admission Control Scheme for High-Speed Railway Communication with MIMO AntennasProc. IEEE International Conference on Communications (ICC), June 2012, pp. 5005-5009EI1
13UAV-Assisted Time Division Power Allocation Strategy Based on RF Energy HarvestingProc. IEEE Vehicular Technology Conference (VTC2020-Spring), May 2020, AcceptedEI2
14Resource Allocation Strategy for MEC System Based on VM Migration and RF Energy HarvestingProc. IEEE Vehicular Technology Conference (VTC2020-Spring), May 2020, AcceptedEI2
15Resource Allocation Strategy for Mobile Edge Computing System with Hybrid Energy HarvestingProc. IEEE Vehicular Technology Conference (VTC2020-Spring), May 2020, AcceptedEI2
16Resource Allocation Strategy Based on RF Energy Harvesting in Heterogeneous NetworksProc. IEEE Vehicular Technology Conference (VTC2019-Spring), May 2019, pp. 1-5EI2