简 历:
2022.09-至今 中国科学院计算技术研究所,高级工程师
2019.07-2022.09 中国科学院计算技术研究所,助理研究员
2015.09-2019.06 中国科学院大学,博士
2012.09-2015.07 中国科学院大学,硕士
2007.09-2011.07 同济大学,学士
主要论著:
论文:
[1] “Statistical Multiplexing Gain Analysis Based on Resource Utilization for Practical C-RAN”. Z. Zhang, L. Tian, Q. Sun, N. Hui, J. Huang. IEEE the 21st International Symposium on Communications and Information Technologies (ISCIT 2022).
[2] “Delay Prediction for Real-Time Video Based on Improved LSTM”. Z. Zhang, J. Huang, L. Tian, C. Yuan, Y. Wang. IEEE the 8th International Conference on Computer and Communications (ICCC 2022).
[3] “Wireless Resource Allocation based on Multiplexing and Isolation in Sliced 5G Networks”. N. Hui, Q. Sun, Y. Wang, Z. Zhang, L. Tian, C. Feng, Z. Guan. IEEE Wireless Communications and Networking Conference (WCNC 2022).
[4] “Statistical Multiplexing Gain Analysis of Computing Resources for C-RAN with Alpha-Stable Model”. X. Tong, L. Tian, Z. Zhang, Q. Sun and Y. Wang. IEEE Wireless Communications and Networking Conference (WCNC 2021).
[5] “Statistical Multiplexing Gain Analysis for C-RAN Based on Processing Resource Utilization”. X. Tong, L. Tian, Z. Zhang, Q. Sun and Y. Wang. IEEE the 6th International Conference on Computer and Communications (ICCC 2020).
[6] “Incentive Scheme for Slice Cooperation Based on D2D Communication in 5G Networks”. Q. Sun, L. Tian, Y. Zhou, J. Shi, Z. Zhang. China Communications, pp. 28-41, Jan, 2020.
[7] “A Two-Layered Incentive Scheme for Cooperation in Sliced 5G D2D Networks”. Q. Sun, L. Tian, Y. Zhou, J. Shi, Y. Wang, Z. Zhang. IEEE Transactions on Vehicular Technology, vol. 69, no.11, pp. 13289-13304, Nov 2020.
[8] “Statistical Multiplexing Gain Analysis of Processing Resources in Centralized Radio Access Networks”. Z. Zhang, L. Tian, J. Shi, J. Yuan, Y. Zhou, X. Cui, L. Wang and Q. Sun. Journal of IEEE Access, vol. 7: 23343-23353, 2019.
[9] “Semi-Dynamic Computing Resource Allocation Scheme in MEC-enabled Radio Access Network”. Q. Sun, L. Tian, Y. Zhou, Z. Zhang, Y. Peng, Y. Wang, J. Shi, Y. Ma, and L. Long. IEEE Global Communications Conference (Globecom 2019).
[10] “Statistical Multiplexing Analysis with Quantized Computing Resource for Practical C-RAN”. L. Wang, L. Liu, Y. Zhou, J. Yuan, Z. Zhang and J. Shi. IEEE International Conference on Communications (ICC 2019).
[11] “Energy Efficient Dynamic Computing Resource Allocation in Centralized Radio Access Networks”. Z. Zhang, L. Tian, Y. Zhou, L. Liu, B. Sun, and J. Shi. IEEE International Conference on Communications (ICC 2018).
著作:
[1] 《软件定义无线网络及虚拟化》,科学出版社,2021
[2] 《无线传感器网络基础:理论与实践》,清华大学出版社,2014
授权专利:
[1] 集中式基站架构下的处理资源分配方法,ZL201810390427.5
[2] 一种无线传感器网络数据汇聚方法,ZL201310325462.6
[3] 一种MIMO-NOMA系统中功率调整方法及系统,ZL201910383034.6
[4] 一种面向集中式基站的资源分配方法、设备及存储介质,ZL201910392835.9
[5] 基于用户参数特征的基站分类识别方法及系统,ZL201910280655.1
[6] 一种计算资源分配方法及装置,ZL201910302613.3
[7] 一种融合移动边缘计算的蜂窝网络计算卸载方法,ZL202010016995.6
[8] LTE系统MAC层下行调度方法,ZL201910139809.5
[9] 一种面向5G接入网的虚拟资源管控系统,ZL202110565089.6
科研项目:
国家自然科学基金重点国际合作项目子课题:“面向移动通信与计算融通的信息与能量耦合机理研究”,课题骨干
获奖及荣誉:
[1] 2022年,第21届通信与信息技术国际会议(ISCIT 2022)“最佳报告奖”
[2] 2022年,第二届“率先杯”未来技术创新大赛“北京赛区提名奖”
[3] 2021年,中国科学院计算技术研究所“优秀研究人员”
[4] 2019年,中国科学院计算技术研究所“所长优秀奖”
[5] 2017年,中国科学院大学“优秀学生干部”
[6] 2016年,微软亚洲研究院Beijing Hackathon大赛“最佳创意奖”
张宗帅 高级工程师
研究方向:
所属部门:分布式系统研究中心
导师类别:
联系方式:zhangzongshuai@ict.ac.cn
个人网页: