一、教育背景

2007.09－2011.06 吉林大学，通信工程专业，本科

2011.09－2014.06 吉林大学，通信与信息系统专业，硕士

2015.09－2018.06 吉林大学，通信与信息系统专业，博士

二、工作经历

2014.07－2015.06 长春建筑学院电气信息学院，助教

2018.06－2021.05 中国船舶重工集团公司第七一六研究所高新技术部，高级工程师

2021.06－2023.05 电子科技大学通信抗干扰技术国家级重点实验室，博士后

2023.06－至今 东莞理工学院电信工程与智能化学院，讲师

三、教学工作

2023年起在东莞理工学院，主要讲授的课程有：云计算与边缘计算，人工智能，Python语言及开发应用，C++语言及开发应用，通信工程专业英语等。

四、主持的教学研究项目

五、科学研究

杨伟伟，工学博士，IEEE Member，东莞市“战略科学家团队”核心成员。主要从事无线网络资源管理，边缘计算，人工智能，车联网，区块链等方面的研究。欢迎通信和计算机等相关专业同学报考我的研究生，课题组经费充足。

（一）主持研究项目

1．基于网络孪生的云原生网络中可信资源交易和分配方法研究，国家自然科学基金青年科学基金项目，2023年，主持，30万

2. 基于区块链的云原生网络资源交易机制与动态决策研究，广东省基础与应用基础研究基金区域联合基金青年基金项目，2021年，主持，10万

（二）发表的学术论文和著作

学术论文：

●Weiwei Yang, Lixin Luo, Long Shi, Jinkai Zheng, and Yanfeng Zhang, "Trust-Driven Resource Trading for DAG Blockchain-Aided Mobile Edge Computing Networks: A Game Theoretic Approach," IEEE Internet of Things Journal, vol. 13, no. 2, Jan. 2026.

●Weiwei Yang, Long Shi, Hui Liang, Wei Zhang, "Trusted Mobile Edge Computing: DAG Blockchain-Aided Trust Management and Resource Allocation," IEEE Transactions on Wireless Communications, vol. 23, no. 5, pp. 5006-5018, May 2024.

●Niu Wei, Long Shi, Zhe Wang, Weiwei Yang, "Blockchain-Aided Mobile Edge Intelligence with Sparse Rewarded Computing Resource Allocation," IEEE Transactions on Vehicular Technology, vol. 74, no. 9, pp. 14997–15001, Sep. 2025.

●Weiwei Yang, Xiaoyi Zeng, Jinkai Zheng, Yanfeng Zhang, Xiaoyan Li, Kaihui Liu, Kangmu Le, "Resource Trading for Vehicular Edge Computing Networks: A Trust-Based Double Auction Approach," 2025 34th International Conference on Computer Communications and Networks (ICCCN), Tokyo, Japan, 2025, pp. 1-6.

●Weiwei Yang, Lixin Luo, Xiaoyan Li, Yanfeng Zhang, Jinkai Zheng, Zhenman Gao, Kaihui Liu, "Stackelberg Game-Based Resource Trading in DAG Blockchain-Aided MEC Network," 2025 IEEE Wireless Communications and Networking Conference (WCNC), Milan, Italy, 2025, pp. 1-6.

●Zirui Zou, Weiwei Yang, Jinkai Zheng, Yanfeng Zhang, Xiaoyi Zeng, Xiaoyan Li, Tao Liu, "Deployment and Synchronization for Reputation-Driven Vehicular Digital Twins: A Learning-Based Approach," 2025 IEEE/CIC International Conference on Communications in China (ICCC Workshops).

●Jinkai Zheng, Tom H. Luan, Guanjie Li, Yanfeng Zhang, Weiwei Yang, Haixia Peng, Zhou Su, "Content Delivery in Vehicular Digital Twin Using Heterogeneous Networks," ICC 2025 - IEEE International Conference on Communications, Montreal, QC, Canada, 2025, pp. 5706-5711.

●Yanfeng Zhang, Xi'an Fan, Hui Liang, Weiwei Yang, Jinkai Zheng, Tom H. Luan, "Semi-Tensor Sparse Vector Coding for Short-Packet URLLC with Low Storage Overhead," 2025 IEEE Wireless Communications and Networking Conference (WCNC), Milan, Italy, 2025, pp. 1-6.

●Yanfeng Zhang, Xu Zhu, Jinkai Zheng, Weiwei Yang, et.al “Dual-Mapping Sparse Vector Transmission for Short Packet URLLC,” Proc. IEEE Global Communications Conference (GLOBECOM), Taipei, China, 2025.

●Yanfeng Zhang, Xi'an Fan, Xu Zhu, Hui Liang, Jinkai Zheng, Weiwei Yang, and Tom H. Luan, “Low-Complexity Sparse Superimposed Codes for Ultra Reliable and Low Latency Communications,” Proc. IEEE International Conference on Consumer Technology (IEEE ICCT), 2025.

●Kaihui Liu, Liangtian Wan, Weiwei Yang, "Efficient Channel Estimation for RIS-Assisted Sub-Terahertz Communication Systems via Difference-of-Convex Programming," 2024 IEEE/CIC International Conference on Communications in China (ICCC), Hangzhou, China, 2024, pp. 735-739.

●Yanfeng Zhang, Xu Zhu, Zhixing Xu, Yingzhe Luo, Xunyang Zhan, Weiwei Yang, et al, "Sparse Superimposed Codes for Vehicular Communications with Low-Resolution ADCs," Proc. IEEE/CIC International Conference on Communications in China (ICCC Workshops), 2024, pp. 277–281.

●Weiwei Yang, Long Shi, Hui Liang, Wei Zhang, "Blockchain Empowered Reliable Computation Offloading and Resource Allocation for Mobile Edge Computing Networks," 2023 IEEE/CIC International Conference on Communications in China (ICCC), Dalian, China, 2023, pp. 1-6.

●Hui Liang, Weiwei Yang, Qihao Li, Wei Zhang, "Poisson Game with Population Uncertainty for Mobile Edge Computing Networks," 2022 IEEE/CIC International Conference on Communications in China (ICCC), Sanshui, Foshan, China, 2022, pp. 878-883.

●Weiwei Yang, Xiaohui Zhao, Jiazhou He, "Physical Layer Security and Energy Efficiency Driven Resource Optimization for Cognitive Relay Networks," IET Communications, vol. 14, no. 17, pp. 2953-2961, Oct. 2020.

●Weiwei Yang, Xiaohui Zhao, "Resource Allocation in Two-Way OFDM-Based Cognitive Radio Networks with QoE and Power Consumption Guarantees," EURASIP Journal on Wireless Communications and Networking, vol. 2017, no. 1, pp. 1-14, Dec. 2017.

●Weiwei Yang, Xiaohui Zhao, "Robust Resource Allocation for Cognitive Relay Networks with Multiple Primary Users," EURASIP Journal on Wireless Communications and Networking, vol. 2017, no. 1, pp. 1-11, Jun. 2017.

●Weiwei Yang, Xiaohui Zhao, "Robust Resource Allocation for Orthogonal Frequency Division Multiplexing-Based Cooperative Cognitive Radio Networks with Imperfect Channel State Information," IET Communications, vol. 11, no. 2, pp. 273-281, Jan. 2017.

●Weiwei Yang, Xiaohui Zhao, "Robust Relay Selection and Power Allocation for OFDM-Based Cooperative Cognitive Radio Networks," IEEE GLOBECOM, Washington D.C., pp. 1-6, 2016.

国家发明专利：

1.杨伟伟，骆礼新，李晓燕，张雁峰，郑金凯，姚巍，基于区块链的资源交换方法、装置、设备、介质及产品，国家发明专利：ZL 2024 1 1872421.3

2.杨伟伟，梁辉，区块链共识方法和装置、电子设备和存储介质，国家发明专利：ZL 202211027980.5

3.杨伟伟，邹子睿，郑金凯，张雁峰，曾晓怡，刘开晖，一种基于信誉的车载数字孪生部署优化方法及系统，国家发明专利，CN120857131A

4.杨伟伟，曾晓怡，郑金凯，张雁峰，李晓燕，一种基于信誉的双向拍卖资源交易方法，国家发明专利CN120782531A

5.杨伟伟，梁辉，计算卸载优化方法和装置、电子设备和存储介质，国家发明专利， CN115604765A

6.张雁峰，范西岸，胡耀华，杨伟伟，一种基于块稀疏矢量码的短消息通信的方法及装置，国家发明专利，ZL 202411285673.6

六、获奖与荣誉

七、指导研究生

现为东莞理工学院硕士生导师，指导1名2025级研究生和1名2024级研究生。