Now showing items 1-6 of 6

    • Chen, Yi; Wen, Hong; Wu, Jinsong; Song, Huanhuan; Xu, Aidong; Jiang, Yixin; Zhang, Tengyue; Wang, Zhen (MDPI AG, 2019)
      In this paper, we propose a clustering based physical-layer authentication scheme (CPAS) to overcome the drawback of traditional cipher-based authentication schemes that suffer from heavy costs and are limited by ...
    • Xie, Feiyi; Wen, Hong; Wu, Jinsong; Chen, Songlin; Hou, Wenjing; Jiang, Yixin (IEEE Computer Soc, 2020)
      In this article, a convolutional neural network (CNN) enhanced radio frequency fingerprinting (RFF) authentication scheme is presented for Internet of things (IoT). RFF is a non-cryptographic authentication technology, ...
    • Liao, Run Fa; Wen, Hong; Wu, Jinsong; Pan, Fei; Xu, Aidong; Jiang, Yixin; Xie, Feiyi; Cao, Minggui (MDPI AG, 2019)
      In this paper, a deep learning (DL)-based physical (PHY) layer authentication framework is proposed to enhance the security of industrial wireless sensor networks (IWSNs). Three algorithms, the deep neural network (DNN)-based ...
    • Fu, Shu; Wen, Hong; Wu, Jinsong; Wu, Bin (IEEE Inst Electrical and Electronic Engineering Inc., 2017)
      The coordinated multiple-point (CoMP) transmission technique recently has been considered as an efficient method to achieve energy-efficient cellular wireless communications and enhance cell-edge user performance. Conventional ...
    • Chen, Songlin; Wen, Hong; Wu, Jinsong; Lei, Wenxin; Hou, Wenjing; Liu, Wenjie; Xu, Aidong; Jiang, Yixin (Institute of Electrical and Electronics Engineers Inc., 2019)
      In this paper, an edge computing system for IoT-based (Internet of Things) smart grids is proposed to overcome the drawbacks in the current cloud computing paradigm in power systems, where many problems have yet to be ...
    • Liao, Run-Fa; Wen, Hong; Wu, Jinsong; Song, Huanhuan; Pan, Fei; Dong, Lian (Wiley-Hindawi, 2018)
      This paper presents a multi-time channel prediction system based on backpropagation (BP) neural network with multi-hidden layers, which can predict channel information effectively and benefit for massive MIMO performance, ...