通讯及网络实验室


位置:

C座大楼,4楼,C401(b室)

简介:

通讯及网络实验室主要研究方向为移动通讯技术和互联网技术,前期曾建有第三代(3G)移动通讯科研实验室IPv6科研实验室。现在主要研究领域为新一代通讯及智能计算技术,包括认知无线电、物联网、云计制、区块链、软件定义网路(SDN)、网络入侵检测及防御、无线人工智慧的研究等。

主要设备:

实验室建立了一个独立科研网络,采用1Gbps主干网络和具有独立50Mbps光纤连接的Internet出口。实验室自主建立了一套私有云系统及SDN系统。云系统连接在思科(Cisco)新一代数据中心专用的N9K高速交换机系统,能为云系统的每个独立端口提供10Gbps的连接带寛及高达40Gbps的交换机之间的主干连接带寛。

 

图1. 私有云系统及SDN系统

主要的研究项目及成果包括:

  1. 基于边缘伺服器的蓝牙反向散射系统中载波识别和自我调整宽频跳频研究,2024~2027

  2. 基于协作通信的无线传感网路能量优化研究, 2019.12~2021.12

  3. 基于区块链的公平数据处理方案研究与验证, 2019.08~2021.09

  4. 无线分布式网络下的中心控制方案研究, 2019.06~2022.06

  5. 基于超奈奎斯特速率传输的非正交大规模多天线系统设计, 2019.06~2022.06

  6. 物联网环境下多子载波频域竞争技术研究, 2019.1~2022.12

  7. 基于PoUW区块链的数据处理研究, 2019.1~2022.12

  8. 环境散射通信链路自适应传输和信号检测技术研究, 2018.12~2020.12

  9. 超密集网络的关键技术研究, 2018.10~2021.09

  10. 非完美同步下频域竞争协议研究, 2017.12~2019.12

  11. 信息中心网络服务评价、传输及选择机制的研究与实现, 2017.03~2020.03

  12. X. Yu and D. Li, “Phase Shift Compression for Control Signaling Reduction in IRS-Aided Wireless Systems: Global Attention and Lightweight Design,” IEEE Transactions on Wireless Communications, vol. 23, no. 8, pp. 8528-8541, August 2024.

  13. Z. Yan and D. Li, “Performance Analysis for Resource Constrained Decentralized Federated Learning Over Wireless Networks,” IEEE Transactions on Communications, vol. 72, no. 7, pp. 4084-4100, July 2024.

  14. B. Liu and D. Li, “Low-Complexity Joint On-Off Control of Reflecting Elements and Beamforming Design in RIS-Aided Wireless Systems,” IEEE Wireless Communications Letters, vol. 13, no. 7, pp. 1818-1822, July 2024.

  15. H. Xie and D. Li, “Traffic Offloading for RIS-Aided Systems: Number Configuration and How Much Traffic Should be Offloaded?” IEEE Wireless Communications Letters, vol. 13, no. 7, pp. 1813-1817, July 2024.

  16. Y. Liu, D. Li, H. Dai, X. Ma and C. A. Boano, “Understanding Concurrent Radiative Wireless Power Transfer in IoT: Out of Myth, into Reality,” IEEE Wireless Communications, vol. 31, no. 3, pp. 398-405, June 2024.

  17. B. Gu, D. Li and H. Xie, “Computation-Efficient Backscatter-Blessed MEC with User Reciprocity,” IEEE Transactions on Vehicular Technology, vol. 73, no. 6, pp. 9026-9031, June 2024.

  18. X. Yu and D. Li, “Attention Mechanism Aided Signal Detection in Backscatter Communications with Insufficient Training Data,” IEEE Transactions on Vehicular Technology, vol. 73, no. 5, pp. 7395-7399, May 2024.

  19. Z. Yan and D. Li, “Convergence Time Optimization for Decentralized Federated Learning with LEO Satellites via Number Control,” IEEE Transactions on Vehicular Technology, vol. 73, no. 3, pp. 4517-4522, March 2024.

  20. H. Xie and D. Li, “How Much Time is Required for Phase Shift Delivery in RIS-Aided Wireless Systems?” IEEE Wireless Communications Letters, vol. 13, no. 3, pp. 819-823, March 2024.

  21. C. Liang, D. Li, Z. Lin and H. Cao, “Selection-Based Image Generation for Semantic Communication System,” IEEE Communications Letters, vol. 28, no. 1, pp. 34-38, January 2024.

  22. H. Xie and D. Li, “To Reflect or Not To Reflect: On-Off Control and Number Configuration for Reflecting Elements in RIS-Aided Wireless Systems,” IEEE Transactions on Communications, vol. 71, no. 12, pp. 7409-7424, December 2023.

  23. W. Liu, D. Li, T. Liang, T. Zhang, Z. Lin and N. A.-Dhahir, “Joint Trajectory and Scheduling Optimization for Age of Synchronization Minimization in UAV-Assisted Networks with Random Updates,” IEEE Transactions on Communications, vol. 71, no. 11, pp. 6633-6646, November 2023.

  24. X. Yu, D. Li, Z. Wang and S. Sun, “An Integrated New Deep Learning Framework for Reliable CSI Acquisition in Connected and Autonomous Vehicles,” IEEE Network, Special Issue on Connected and Autonomous Vehicles, vol. 37, no. 4, pp. 216-222, October 2023.

  25. Z. Yan, D. Li, Z. Zhang and J. He, “Accuracy-Security Tradeoff with Balanced Aggregation and Artificial Noise for Wireless Federated Learning,” IEEE Internet of Things Journal, vol. 10, no. 20, pp. 18154-18167, October 2023.

  26. P. Huang, D. Li and Z. Yan, “Wireless Federated Learning with Asynchronous and Quantized Updates,” IEEE Communications Letters, vol. 27, no. 9, pp. 2393-2397, September 2023.

  27. H. Xie, B. Gu, D. Li, Z. Lin and Y. Xu, “Gain without Pain: Recycling Reflected Energy from Wireless Powered RIS-aided Communications,” IEEE Internet of Things Journal, vol. 10, no. 15, pp. 13264-13280, August 2023.

  28. B. Gu, D. Li, Y. Liu and Y. Xu, “Exploiting Constructive Interference for Backscatter Communication Systems,” IEEE Transactions on Communications, vol. 71, no. 7, pp. 4344-4359, July 2023.

  29. B. Gu, H. Xie and D. Li, “Act before Another is Aware: Safeguarding Backscatter Systems with Covert Communications,” IEEE Wireless Communications Letters, vol. 12, no. 6, pp. 1106-1110, June 2023.

  30. F. Huang and D. Li, “Spatial Modulation with Joint Permutation, Group and Antenna Index,” IEEE Wireless Communications Letters, vol. 12, no. 4, pp. 753-757, April 2023.

  31. B. Gu, D. Li, Y. Xu, C. Li and S. Sun, “Many a Little Makes a Mickle: Probing Backscattering Energy Recycling for Backscatter Communications,” IEEE Transactions on Vehicular Technology, vol. 72, no. 1, pp. 1343-1348, January 2023.