Communications and Networks Laboratory

Location:

Room C401B, at the 4th floor of Block C.

Description:

The main research direction of the communication and network laboratory is mobile communication technology and Internet technology. The third generation (3G) mobile communication research laboratory and IPv6 research laboratory were built in the early period. At present, the main research fields are the new generation of communication and intelligent computing technologies, including cognitive radio, Internet of Things, cloud computing, block chain, software definition network (SDN), and wireless artificial intelligence,network intrusion detection and defense.

 

 Equipment: 

The laboratory has set up an independent research network with a 1Gbps backbone network and an Internet outlet with an independent 50Mbps fiber connection. The laboratory has set up a private cloud system and SDN system independently. The cloud system connects to the N9K high-speed switch system dedicated to Cisco's new 1-generation data center, which provides 10 Gbps of connectivity to each individual port of the cloud system and a backbone connection between switches up to 40 Gbps. 

 

Figure 1. Private Cloud System and SDN System 

  

The main research projects and achievements include:

  1. Edge Server-aided BLE Backscatter System: Carrier Recognition and Adaptive Wideband Frequency Hooping under Grant ,2024 – 2027;

  2. Energy optimization of wireless sensor networks based on cooperative communication, 2019.12~2021.12

  3. Study and Verification of Fair Data Processing Scheme Based on Block Chain, 2019.08~2021.09

  4. Research on central control scheme under wireless distributed network, 2019.06~2022.06

  5. Design of non-orthogonal large-scale multi-antenna system based on ultra-Nyquist rate transmission, 2019.06~2022.06

  6. Research on multi-subcarrier frequency domain competition technology in Internet of Things environment, 2019.1~2022.12

  7. Data processing based on PoUW block chain, 2019.1~2022.12

  8. Environmental Scattering Communication Link Adaptive Transmission and Signal Detection Technology, 2018.12~2020.12

  9. Research on key technologies of ultra-dense networks, 2018.10~2021.09

  10. Research on Competition Protocol in Frequency Domain under Imperfect Synchronization, 2017.12~2019.12

  11. Research and implementation of evaluation, transmission and selection mechanisms for information center network services, 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.