认知通信 

Research

   随着5G通信网络的不断发展,爆炸性的流量增长以及成倍的设备接入问题使得有限的频谱资源变得日益紧张。 认知无线电技术通过感知频谱空洞进行动态频谱接入,能够在拥挤频谱空间进行讯息传输,有效提高频谱的时空利用率,缓解频谱短缺情况。 MINT实验室从认知无线电网络的实际考虑出发,研究了在感知结果不完美,传输功率存在限制,存在中继或融合中心,以及时变的无线电环境下的频谱分配与接入问题。通过屏障法,聚类和在线学习等机器方法实时跟踪信道信息,进行智能信道分配,动态满足不同用户的传输要求。


Research



  参考文献 



  • [1] Online Primary User Emulation Attacks in Cognitive Radio Networks Using Thompson Sampling.
    Xiang Sheng and Shaowei Wang.
    IEEE Transactions on Wireless Communications, DOI 10.1109/TWC.2021.3091588, 2021.
  • [2] Multi-Scale Hierarchical Resource Management for Wireless Network Virtualization.
    Huijuan Jiang, Tianyu Wang, and Shaowei Wang (Corresponding Author)
    IEEE Transactions on Cognitive Communications and Networking, vol. 4, no. 4, pp. 919-928, Dec. 2018.
  • [3] Clustering-Based Spectrum Sharing Strategy for Cognitive Radio Networks.
    Jingyi Dai and Shaowei Wang.
    IEEE Journal on Selected Areas in Communications, vol.35, no.1, pp.228-237, Jan. 2017.
  • [4] Resource Allocation for Cognitive Radio-Enabled Femtocell Networks with Imperfect Spectrum Sensing and Channel Uncertainty.
    Yujie Zhang and Shaowei Wang.
    IEEE Transactions on Vehicular Technology, vol.65. no.9, pp.7719-7728, Sep. 2016.
  • [5] Efficient Resource Allocation for Cognitive Radio Networks with Cooperative Relays.
    Shaowei Wang, Mengyao Ge and Chonggang Wang.
    IEEE Journal on Selected Areas in Communications, vol.31, no.11, pp.2432-2441, Nov. 2013.

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