林鹏
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林鹏，男，博士，校聘副教授。东北大学通信与信息系统专业博士，加拿大英属哥伦比亚大学联合培养博士，卡尔顿大学访问学者。2021年8月入职南京信息工程大学电子与信息工程学院。主要从事边缘计算、无线网络资源管理、数字/网络孪生、人工智能算法在通信网中的应用等方面的研究。
欢迎对移动通信网络、智能网络、边缘计算与数字孪生、机器学习、强化学习等方向感兴趣的同学申报我的研究生。
联系方式：linpeng@nuist.edu.cn
2021.08--至今，南京信息工程大学，电子与信息工程学院，讲师
2017.09--2021.07，东北大学，通信与信息系统专业，博士
2019.10--2020.11，加拿大英属哥伦比亚大学，通信工程，访问学者
2020.01--2020.10，加拿大卡尔顿大学，通信工程，访问学者
边缘计算与资源管理技术，数字/网络孪生技术，强化学习算法，边缘智能网络
期刊论文
Peng Lin, Qingyang Song, F. Richard Yu, Dan Wang, Abbas Jamalipour, and Lei Guo, “Wireless virtual reality in beyond 5G systems with the Internet of intelligence”, IEEE Wireless Communications, vol. 28, no. 2, pp. 70-77, April 2021.
Peng Lin, Qingyang. Song, F. Richard Yu, and Victor C. M. Leung, “Resource management for pervasive edge computing-assisted wireless VR streaming in industrial Internet of things”, IEEE Transactions on Industrial Informatics, vol. 17, no. 11, pp. 7607-7617. Nov. 2021.
Peng Lin, Qingyang Song and Abbas Jamalipour, “Multidimensional cooperative caching in CoMP-integrated ultra- dense cellular networks,” IEEE Transactions on Wireless Communications, vol. 19, no. 3, March, 2020.
Peng Lin, Qingyang Song, Jing Song, Abbas Jamalipour, and F. Richard Yu, “Cooperative caching and transmission in CoMP-integrated cellular networks using reinforcement learning,” IEEE Transactions on Vehicular Technology, vol. 69, no. 5, pp. 5508-5520, May 2020.
Peng Lin, Qingyang Song, F. Richard Yu et al., “Task offloading for wireless VR-enabled medical treatment with blockchain security using collective reinforcement learning”, IEEE Internet of Things Journal, doi: 10.1109/JIOT.2021.3051419, 2020.
Peng Lin, K. S. Khan, Qingyang Song, and Abbas Jamalipour, “Caching in heterogeneous ultradense 5G networks: A comprehensive cooperation approach,” IEEE Vehicular Technology Magazine, vol. 14, no. 2, 2019.
Peng Lin, Qingyang Song, Yu Yao, and Abbas Jamalipour, “Extensive cooperative caching in D2D integrated cellular networks,” IEEE Communications Letters, vol. 21, no. 9, pp. 2101-2104, 2017.
J. Song, Q. Song, Y Wang, and Peng Lin, "Energy-Delay Tradeoff in Adaptive Cooperative Caching for Energy-Harvesting Ultradense Networks," IEEE Transactions on Computational Social Systems. doi: 10.1109/TCSS.2021.3097335
D. Wang, N. Zhao, B. Song, Peng Lin, and F. R. Yu, "Resource Management for Secure Computation Offloading in Softwarized Cyber–Physical Systems," IEEE Internet of Things Journal, vol. 8, no. 11, pp. 9294-9303, Jun., 2021.
M. Wu, W. Qi, J. Park, Peng Lin, L. Guo, and I. Lee, Residual Energy Maximization for Wireless Powered Mobile Edge Computing Systems With Mixed-Offlfloading. IEEE Transactions on Vehicular Technology, vol. 71, no, 4, pp. 4523-4528.
D. Wang, B. Song, Peng Lin, FR. Yu, X. Du, and M. Guizani, Resource Management for Edge Intelligence (EI)-Assisted IoV Using Quantum-Inspired Reinforcement Learning. IEEE Internet of Things Journal, vol. 9, no. 14, pp. 12588-12600, 2022.
会议论文
Peng Lin, Q. Song, J. Song, L. Guo, and A. Jamalipour, Edge intelligence-based joint caching and transmission for QoE-aware video streaming. IEEE/CIC International Conference on Communications in China, Aug., Chongqing, 2020.
J. Song, Peng Lin, Q. Song, and L. Guo, Cost-oriented cooperative caching scheme in energy-harvesting-powered ultra-dense networks. IEEE/CIC International Conference on Communications in China, Aug., Chongqing, 2020.
S. Li, Peng Lin, J. Song, and Q. Song, Computing-assisted task offlfloading and resource allocation for wireless VR systems. IEEE International Conference on Computer and Communications, Dec., Chengdu, 2020.
Y. Ma, W. Qi, Peng Lin, M. Wu, and L. Guo, A cooperative coded caching strategy for D2D-enabled cellular networks. IEEE/CIC International Conference on Communications in China, Aug., Chongqing, 2020.
W. Chen, Q. Song, Peng Lin, L. Guo, A. Jamalipour, Proactive 3C Resource Allocation for Wireless Virtual Reality Using Deep Reinforcement Learning. IEEE/CIC 2021 IEEE Global Communications Conference (GLOBECOM), 2021.
发明专利
ZL2018103095177，宋清洋，林鹏，超密度蜂窝与D2D异构融合网络缓存优化决策算法[已授权], 2020
ZL2021100365439，林鹏，马云鹏，基于动态请求 D2D 网络中的协作编码缓存方法[已授权], 2020
ZL2021102667039，宋清洋，陈维熙，林鹏，亓伟敬，超基于移动边缘 计算网络的 VR 内容缓存方法[已授权], 2021
2023.01-2025.12，国家自然科学基金青年项目《面向无线VR应用的边缘网络多维资源协同优化配置研究》，在研，主持
2022.07-2024.06，江苏省高等学校基础科学研究面上项目《基于算网协同赋能的VR视频传输理论与方法研究》，在研，主持
2022.09-2023.08，南京市留学人员科技创新项目《面向无线VR应用的视频传输优化技术》，在研，主持
2022.03-2025.03，引进人才科研启动经费项目《边缘智能网络内容传输优化技术》，在研，主持
