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Α Β Γ Δ Ε Ζ Η Θ Ι Κ Λ Μ Ν Ξ Ο Π Ρ Σ Τ Υ Φ Χ Ψ Ω α β γ δ ε ζ η θ ι κ λ μ ν ξ ο π ρ σ τ υ φ χ ψ ω
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      저자 : Hanxiao Ge (검색결과 2 건)
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        Generalized Superimposed Training for RIS-aided Cell-free Massive MIMO-OFDM Networks

        Hanxiao Ge,Navneet Garg,Tharmalingam Ratnarajah 한국통신학회 2022 Journal of communications and networks Vol.24 No.5

        In this paper, a generalized superimposed training (GST) is proposed for an uplink cell-free multiple-input multiple- output orthogonal frequency-division multiplexing (mMIMO- OFDM) system, which is aided by reconfigurable intelligent surfaces (RISs) to enhance the spectral efficiency in the system. For the GST scheme, the pilots and data symbols are transmitted simultaneously in the coherence time. This scheme is different from traditional separate transmission methods, such as regular pilots (RP) transmission. In the OFDM multi-carrier case, a part of the subcarriers is based on the GST, whereas the other part of subcarriers is used for data transmission only. The channel and data estimations are carried out and the normalized mean- squared error (NMSE), bit error rate (BER), and sum-rate in different schemes are compared. Different receiver cooperation levels are analyzed in this case, including fully centralized processing and local processing. The distributed time processing and iterative process are also used to improve the performance of the data estimation in this system.

      • KCI등재

        H∞ Synchronization of Uncertain Chaotic Lur’e Systems with Timevarying Delay via Stochastic Sampling

        Hanxiao Zhao,Wei Li,Jiayong Zhang,Chao Ge,Yajuan Liu 제어·로봇·시스템학회 2022 International Journal of Control, Automation, and Vol.20 No.4

        In this article, the problem of H∞ synchronization for uncertain chaotic systems with time-varying delay controlled by random sampling is considered. The variable sampling period is assumed to switch stochastically between different values with given probability. In addition, the disturbance and the parameter uncertainty that may occur in many actual system are taken into account. With the help of input delay method, the chaotic Lur’e systems (CLSs) with probability sampling is converted to a continuous system. Then, based on the Lyapunov-Krasovskii functional (LKF) theory, a novel LKF is proposed. By using the reciprocal convex method, sufficient conditions are obtained to guarantee the stability of the error system and to reduce the influence of external disturbances under the condition of bounded H∞ norm. By solving a series of linear matrix inequalities (LMIs) which are obtained, the corresponding sampled data controller can be obtained. Finally, a numerical example is used to illustrate the superiority and effectiveness of proposed method.

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