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王昆仑

职称:

直属机构: 通信与电子工程学院

学科:

相关教师

个人资料

  • 部门: 通信与电子工程学院
  • 性别:
  • 专业技术职务: 紫江青年学者
  • 毕业院校: 上海交通大学
  • 学位: 博士
  • 学历: 研究生
  • 联系电话:
  • 电子邮箱: klwang@cee.ecnu.edu.cn
  • 办公地址: 闵行校区信息楼607
  • 通讯地址: 上海市闵行区东川路500号
  • 邮编: 200241
  • 传真:

教育经历

Ph.D. , Electronic Engineering, Shanghai Jiao Tong University, Shanghai, China, 2016.

工作经历

2020.12-Present, Zijiang Young Scholar, School of Communication and Electronic Engineering, East China Normal University;

2019.3-2020.12, Research Professor, Shanghai Institute of Fog Computing Technology (SHIFT), ShanghaiTech University;

2017.8-2019.3, Assistant Professor, Shanghai Institute of Fog Computing Technology (SHIFT), SIMIT, Chinese Academy of Sciences;

2016.5-2017.7, Research Engineer, Huawei Technologies Company, Ltd..

个人简介

Kunlun Wang received the Ph.D. degree in electronic engineering from Shanghai Jiao Tong University, Shanghai, China, in 2016. From 2016 to 2017, he was with Huawei Technologies Company, Ltd., where he was involved in wireless communication algorithm design. From 2017 to 2020, he was with the Shanghai Institute of Fog Computing Technology (SHIFT), SIMIT, Chinese Academy of Sciences, and the School of Information Science and Technology, ShanghaiTech University, Shanghai, China. Since 2021, he has been a Zijiang Young Scholar with the School of Communication and Electronic Engineering, East China Normal University. His current research interests include wireless communications, fog computing networks, and optimization algorithm.

社会兼职

  • Lead Guest Editor, IEEE Journal on Selected Areas in Communications, Special Issue on Multi-Tier Computing for Next Generation Wireless Networks [Call for Papers].

  • Lead Guest Editor, IEEE Journal of Selected Topics in Signal Processing.

研究方向

B5G Wireless Communications and Fog/Edge Computing Networks, Internet of Things, Optimization Algorithm

招生与培养

开授课程

2023 春季学期

  • 研究生,数字通信

  • 本科生,通信原理I:模拟通信

2022 秋季学期

  • 本科生,信息与通信工程导论

2022 春季学期

  • 研究生,数字通信

2021 秋季学期

  • 本科生,信息与通信工程导论 


科研项目

National Natural Science Foundation of China (NSFC), Grant No.: 61801463, Project title: 雾计算网络的最优能效理论与技术研究. Jan 2019 – Dec 2021.

学术成果

Book Chapters:


1. Z. Zhu, X. Luo, Kunlun Wang, and Y. Yang, “Integration of D2D with Edge/Fog Computing,” in Wiley 5G Ref: The Essential 5G Reference Online, Wiley (Invited), 2019.
2. Y. Yang, S. Zhao, Kunlun Wang, and Z. Liu, “Efficient Task Scheduling for Performance Optimization”, book chapter in Fog and Fogonomics: Challenges and Practices of Fog Computing, Communication, Networking, Strategy, and Economics, Wiley, 2020.
3. Y. Yang, Z. Liu, S. Zhao, Z. Shao, Kunlun Wang, “Machine Learning for Context-Aware Cross-Layer Optimization”, book chapter in Machine Learning for Future Wireless Communications, John Wiley and Sons Ltd, 2020.



Submitted:


1. Kunlun Wang, Y. Tang, T. Q. Duong, S. R. Khosravirad, O. A. Dobre, and G. K. Karagiannidis, “Multi-Tier Computing-Enabled Digital Twin in 6G Networks”, IEEE Journal on Selected Topics in Signal Processing, Submitted.

2. F. Zhang, J. Chen, Kunlun Wang, and W. Chen, “Device Scheduling For Relay-Assisted Over-the-Air Aggregation in Federated Learning”, IEEE Transactions on Vehicular Technology, Submitted.

3. J. Wan, J. Wen, Kunlun Wang, Q. Wu, and W. Chen, "Energy-Efficient Over-the-Air Computation for Relay-Assisted IoT Networks", IEEE Wireless Communications Letters, Submitted.



Selected Journal Publications:


1. Kunlun Wang, D. Niyato, W. Chen, and A. Nallanathan, “Task-Oriented Delay-Aware Multi-Tier Computing in Cell-free Massive MIMO Wireless Systems”, IEEE Journal on Selected Areas in Communications, vol. 41, no. 7, pp. 2000-2012, Jul. 2023.

2. Kunlun WangJ. Jin, Y. Yang, T. Zhang, A. Nallanathan, C. Tellambura, and B. Jabbari, “Task Offloading with Multi-tier Computing Resources in Next Generation Wireless Networks”, IEEE Journal on Selected Areas in Communications, vol. 41, no. 2, pp. 306-319, Feb. 2023.

3. Kunlun WangY. Zhou, Q. Wu, W, Chen, and Y. Yang, “Task Offloading in Hybrid Intelligent Reflecting Surface and Massive MIMO Relay Networks”, IEEE Transactions on Wireless Communications, vol. 21, no. 6, pp. 3648-3663, Jun. 2022.

4. Kunlun Wang, W, Chen, J. Li, Y. Yang, and L. Hanzo, “Joint Task Offloading and Caching for Massive MIMO-Aided Multi-Tier Computing Networks”, IEEE Transactions on Communications,vol. 70, no. 3, pp. 1820-1833, Jan. 2022.

5. Kunlun Wang, Y. Zhou, J. Li, L, Shi, W. Chen, and L. Hanzo, “Energy-Efficient Task Offloading in Massive MIMO-Aided Multi-Pair Fog-Computing Networks”, IEEE Transactions on Communications, vol. 69, no. 4, pp. 2123-2137, Apr. 2021.

6. Kunlun Wang, J. Li, Y, Yang, W. Chen, and L. Hanzo, “Content-Centric Heterogeneous Fog Networks Relying on Energy Efficiency Optimization,” IEEE Transactions on Vehicular Technology, vol. 69, no. 11, pp. 13579-13592, Nov. 2020.

7. Kunlun Wang, Q. Wu, W. Chen, Y. Yang, and D. W. K. Ng, “Energy-Efficient Buffer-Aided Relaying Systems with Opportunistic Spectrum Access,” IEEE Transactions on Green Communications and Networking, vol. 4, no. 3, pp. 731-744, Sep. 2020.

8. Kunlun Wang, Y. Zhou, Z. Liu, Z. Shao, X. Luo, and Y Yang, “Online Task Scheduling and Resource Allocation for Intelligent NOMA-Based Industrial Internet of Things,” IEEE Journal on Selected Areas in Communications, vol. 38, no. 5, pp. 803-815, May 2020.

9. Z. Liu, Y. Yang, Kunlun Wang, Z. Shao, and J. Zhang, “POST: Parallel Offloading of Splittable Tasks in Heterogeneous Fog Networks,” IEEE Internet of Things Journal. (Corresponding author), vol. 7, no. 4, pp. 3170-3183, Apr. 2020.

10. Kunlun Wang, Y. Tan, Z. Shao, S. Ci, and Y. Yang,” Learning-based Task Offloading for Delay-sensitive Applications in Dynamic Fog Networks,” IEEE Transactions on Vehicular Technology, vol. 68, no. 11, pp. 11399-11403, Nov. 2019.

11. Y. Yang, Kunlun Wang, G. Zhang, X. Chen, X. Luo, and M. Zhou, “MEETS: Maximal Energy Efficient Task Scheduling in Homogeneous Fog Networks, “IEEE Internet of Things Journal, vol. 5, no. 5, pp. 4076-4087, Oct. 2018.

12. Kunlun Wang, W. Chen, J. Li, and B. Vucetic, “Green MU-MIMO/SIMO Switching for Heterogeneous Delay-aware Services with Constellation Optimization,” IEEE Transactions on Communications, vol. 64, no. 5, pp. 1984-1995, May 2016.

13. Kunlun Wang, M. Tao, W. Chen, and Q. Guan, “Delay-Aware Energy-Efficient Communications Over Nakagami-m Fading Channel with MMPP Traffic,” IEEE Transactions on Communications, vol. 63, no. 8, pp. 3008-3020, Aug. 2015.

14. Kunlun Wang, and W. Chen, Energy-Efficient Communications in MIMO Systems Based on Adaptive Packets and Congestion Control with Delay Constraints, IEEE Transactions on Wireless Communications, vol. 14, no. 4, pp. 2169-2179, Apr. 2015.


See a full list of publications on: https://dblp.org/pid/37/11533.html








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