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Recent and Selected Publications

  1. [20]
    Y. Sun, B. Lv, H. Tan, R. Wang, and F. C. M. Lau, “COSMO: Dynamic Uploading Scheduling in mmWave-Based Sensor Networks with Mobile Blockers”, ACM Transactions on Sensor Networks, vol. 20, no. 6, Nov. 2024.
  2. [19]
    T. Zhang et al., “Rate-Splitting with Hybrid Messages: DoF Analysis of the Two-User MIMO Broadcast Channel with Imperfect CSIT”, IEEE Transactions on Wireless Communications, doi: 10.1109/TWC.2024.3372867, 2024.
  3. [18]
    Z. Ren, G. Li, C. Ji, C. Yu, S. Wang, and R. Wang, “CASTER: A Computer-Vision-Assisted Wireless Channel Simulator for Gesture Recognition”, IEEE Open Journal of the Communications Society, vol. 5, pp. 3185–3195, 2024.
  4. [17]
    Y. Sun, B. Lv, R. Wang, H. Tan, and F. C. M. Lau, “Predictive Delay-Aware Scheduling with Receiver Rotation Detection and mmWave Channel Learning”, IEEE Transactions on Wireless Communications, doi: 10.1109/TWC.2024.3400377, 2024.
  5. [16]
    B. Lv and R. Wang, “Delay-Aware Two-Time-Scale Scheduling for mmWave Systems With Mobility and Environment Knowledge”, IEEE Transactions on Communications, vol. 72, no. 7, pp. 4026–4040, Jul. 2024.
  6. [15]
    C. Yu, Y. Luo, R. Chen, and R. Wang, “Passive Handwriting Tracking via Weak mmWave Communication Signals”, IEEE Wireless Communications Letters, 2024.
  7. [14]
    Z. Luo, Q. Huang, X. Chen, R. Wang, F. Wu, G. Chen, and Q. Zhang, “Spectrum Sensing Everywhere: Wide-Band Spectrum Sensing With Low-Cost UWB Nodes”, IEEE/ACM Transactions on Networking, 2023.
  8. [13]
    C. Yu, Y. Sun, Y. Luo, and R. Wang, “mmAlert: mmWave Link Blockage Prediction via Passive Sensing”, IEEE Wireless Communications Letters, vol. 12, no. 12, pp. 2008–2012, Dec. 2023.
  9. [12]
    S. Zheng, B. Lv, T. Zhang, Y. Xu, G. Chen, R. Wang, and P. C. Ching, “On DoF of Active RIS-Assisted MIMO Interference Channel with Arbitrary Antenna Configurations: When Will RIS Help?”, IEEE Transactions on Vehicular Technology, vol. 72, no. 12, pp. 16828–16833, Dec. 2023.
  10. [11]
    T. Zhang, S. Wang, Y. Xu, R. Wang, P. C. Ching, and H. V. Poor, “The Generalized Degrees-of-Freedom Region of the Two-User MIMO Broadcast Channel with Delayed CSIT”, IEEE Transactions on Information Theory, 2023.
  11. [10]
    G. Li, S. Wang, J. Li, R. Wang, F. Liu, and X. Peng, “Integrated Sensing and Communication from Learning Perspective: An SDP3 Approach”, IEEE Internet of Things Journal, Aug. 2023.
  12. [9]
    T. Zhang, G. Li, S. Wang, G. Zhu, G. Chen, and R. Wang, “ISAC-Accelerated Edge Intelligence: Framework, Optimization, and Analysis”, IEEE Transactions on Green Communications and Networking, vol. 7, no. 1, pp. 455–468, Mar. 2023.
  13. [8]
    S. F. Huang, Z. Z. Zhong, S. Wang, R. Wang, and K. B. Huang, “Accelerating Federated Edge Learning via Topology Optimization”, IEEE Internet of Things Journal, vol. 10, no. 3, pp. 2056–2070, Feb. 2023.
  14. [7]
    Y. Sun, B. Lv, R. Wang, H. Tan, and F. C. M. Lau, “Predictive Resource Allocation in mmWave Systems with Rotation Detection”, IEEE International Conference on Communications (ICC), Rome, Italy, 2023, pp. 2753–2759.
  15. [6]
    Z. H. Han, H. S. Tan, R. Wang, Y. C. Hong, and F. C. M. Lau, “Efficient Online Learning Based Cross-Tier Uplink Scheduling in HetNets”, IEEE/ACM Transactions on Networking, vol. 30, no. 6, pp. 2389–2402, Dec. 2022.
  16. [5]
    Z. Z. Zhong, G. X. Zhu, R. Wang, V. K. N. Lau, and K. B. Huang, “Turning Channel Noise into an Accelerator for Over-the-Air Principal Component Analysis”, IEEE Transactions on Wireless Communications, vol. 21, no. 10, pp. 7926–7941, Oct. 2022.
  17. [4]
    S. Wang, Y. C. Hong, R. Wang, Q. Hao, Y. C. Wu, and W. K. Ng, “Edge Federated Learning Via Unit-Modulus Over-The-Air Computation”, IEEE Transactions on Communications, vol. 70, no. 5, pp. 3141–3156, May 2022.
  18. [3]
    S. Wang, R. Wang, Q. Hao, Y. C. Wu, and H. V. Poor, “Learning Centric Power Allocation for Edge Intelligence”, IEEE International Conference on Communications (ICC), 2020. (Best Paper Award)
  19. [2]
    Z. Han, H. Tan, R. Wang, S. Tang, and F. C. M. Lau, “Online Learning-Based Uplink Scheduling in HetNets with Limited Backhaul Capacity”, IEEE International Conference on Computer Communications (INFOCOM), Honolulu, HI, USA, 2018.
  20. [1]
    Z. Han, H. Tan, G. Chen, R. Wang, Y. Chen, and F. C. M. Lau, “Dynamic Virtual Machine Management via Approximate Markov Decision Process”, IEEE International Conference on Computer Communications (INFOCOM), San Francisco, CA, USA, 2016, pp. 1–9.