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Lajos Hanzo - One of the best experts on this subject based on the ideXlab platform.

  • Non-Coherent Near-Capacity Network Coding for Cooperative Multi-User Communications
    IEEE Transactions on Communications, 2012
    Co-Authors: Hung Viet Nguyen, Lajos Hanzo
    Abstract:

    Near-Capacity Non-coherent Cooperative Network-coding aided Multi-user (NNCNM) systems are designed with the aid of Extrinsic Information Transfer (EXIT) charts for the sake of approaching the Differential Discrete-input Continuous-output Memoryless Channel's (D-DCMC) system Capacity1. The upper and lower Frame Error Ratio (FER) performance bounds are derived for aiding our Network coding design. The outage Capacity of the D-DCMC channel is also calculated and used for computing the best-case performance bounds of both the corresponding single-link scheme and of the proposed NNCNM system. Moreover, a new technique referred to as the Pragmatic Algebraic Linear Equation Method (PALEM) was proposed for determining the exact number of information sources that may be recovered from the composite NNCNM stream, which constitutes a lower-complexity evaluation of the attainable FER performance of the NNCNM systems without resorting to high-complexity Monte-Carlo simulations. The NNCNM systems advocated are capable of operating within 0.3-0.5 dB from the corresponding D-DCMC Capacity. A joint treatment of channel and Network coding is considered in our system2. The design principles presented in this contribution may be extended to a vast range of NNCNM based systems using arbitrary channel coding schemes.

  • VTC Fall - Near-Capacity Network Coding for Cooperative Multi-User Communications
    2011 IEEE Vehicular Technology Conference (VTC Fall), 2011
    Co-Authors: Hung Viet Nguyen, Joao Luiz Rebelatto, Lajos Hanzo
    Abstract:

    In this contribution, we investigate Near-Capacity Multi-user Network-coding (NCMN) based systems using an Irregular Convolutional Code, a Unity-Rate Code and M-ary Phase-Shift Keying. In the NCMN based systems, we consider a multiuser Network in which the users cooperatively transmit independent information to a common base station (BS). Extrinsic Information Transfer (EXIT) charts were used for designing the proposed NCMN scheme. The design principles presented in this contribution can be extended to a vast range of NCMN based systems using arbitrary channel coding schemes.

Hung Viet Nguyen - One of the best experts on this subject based on the ideXlab platform.

  • Non-Coherent Near-Capacity Network Coding for Cooperative Multi-User Communications
    IEEE Transactions on Communications, 2012
    Co-Authors: Hung Viet Nguyen, Lajos Hanzo
    Abstract:

    Near-Capacity Non-coherent Cooperative Network-coding aided Multi-user (NNCNM) systems are designed with the aid of Extrinsic Information Transfer (EXIT) charts for the sake of approaching the Differential Discrete-input Continuous-output Memoryless Channel's (D-DCMC) system Capacity1. The upper and lower Frame Error Ratio (FER) performance bounds are derived for aiding our Network coding design. The outage Capacity of the D-DCMC channel is also calculated and used for computing the best-case performance bounds of both the corresponding single-link scheme and of the proposed NNCNM system. Moreover, a new technique referred to as the Pragmatic Algebraic Linear Equation Method (PALEM) was proposed for determining the exact number of information sources that may be recovered from the composite NNCNM stream, which constitutes a lower-complexity evaluation of the attainable FER performance of the NNCNM systems without resorting to high-complexity Monte-Carlo simulations. The NNCNM systems advocated are capable of operating within 0.3-0.5 dB from the corresponding D-DCMC Capacity. A joint treatment of channel and Network coding is considered in our system2. The design principles presented in this contribution may be extended to a vast range of NNCNM based systems using arbitrary channel coding schemes.

  • VTC Fall - Near-Capacity Network Coding for Cooperative Multi-User Communications
    2011 IEEE Vehicular Technology Conference (VTC Fall), 2011
    Co-Authors: Hung Viet Nguyen, Joao Luiz Rebelatto, Lajos Hanzo
    Abstract:

    In this contribution, we investigate Near-Capacity Multi-user Network-coding (NCMN) based systems using an Irregular Convolutional Code, a Unity-Rate Code and M-ary Phase-Shift Keying. In the NCMN based systems, we consider a multiuser Network in which the users cooperatively transmit independent information to a common base station (BS). Extrinsic Information Transfer (EXIT) charts were used for designing the proposed NCMN scheme. The design principles presented in this contribution can be extended to a vast range of NCMN based systems using arbitrary channel coding schemes.

Chao Yan - One of the best experts on this subject based on the ideXlab platform.

  • Fast supply reliability evaluation of integrated power-gas system based on stochastic Capacity Network model and importance sampling
    Reliability Engineering & System Safety, 2021
    Co-Authors: Can Wang, Haipeng Xie, Zhaohong Bie, Chao Yan
    Abstract:

    Abstract The supply reliability is a vital concern in the planning of integrated power-gas systems (IPGS). Previous reliability evaluation approaches of IPGS bring massive computational burdens due to the complex consequence (status) analysis model and numerous status samples in Monte Carlo simulation (MCS). In this paper, a systematic assessment approach is proposed to evaluate the supply reliability of IPGS rapidly. Firstly, a novel optimal load shedding model of IPGS is presented based on the stochastic Capacity Network model of gas system and the power flow model, which reduces the computational complexity of consequence analysis. Then, a tailor-made importance sampling (IS) method based on cross-entropy is proposed for IPGS to improve the efficiency of MCS. Through evaluating the criticality of training samples, the IS method accordingly alters the unavailability parameters of electricity and gas components, so that crucial risk events of IPGS are sampled more frequently in MCS. Furthermore, reliability indices of IPGS are developed in three hierarchies: system reliability, customer availability and component importance, which provide comprehensive references for system planners. Finally, numerical simulations are performed on two IPGS cases and the results validate the proposed approach significantly improves the computational efficiency of supply reliability evaluation for IPGS.

Guo Jianlin - One of the best experts on this subject based on the ideXlab platform.

  • VTC Spring - Research on Duplex Mode of Railway Next Generation Wireless Communication
    2016 IEEE 83rd Vehicular Technology Conference (VTC Spring), 2016
    Co-Authors: Wang Wei, Guo Jianlin
    Abstract:

    This paper analyze the difference of LTE FDD and LTE TDD,including specification evolution ,protocol stack ,frame structure ,synchronous signal ,HARQ , beamforming ,frequency band and so on. Mainly focuses on the Network performance analysis of LTE-R in FDD and TDD, including coverage, Capacity, Network redundancy, service characteristic and high speed adaptability. Industry chain is also be compared, in the end the duplex mode selection advice of railway next generation wireless communication is proposed.

Zongjie Zhang - One of the best experts on this subject based on the ideXlab platform.

  • An integrated systemic method for supply reliability assessment of natural gas pipeline Networks
    Applied Energy, 2018
    Co-Authors: Jinjun Zhang, Enrico Zio, Nan Yang, Zongjie Zhang
    Abstract:

    A systematic method is developed for supply reliability assessment of natural gas pipeline Networks. In thedeveloped method, the integration of stochastic processes, graph theory and thermal-hydraulic simulation isperformed accounting for uncertainty and complexity. The supply Capacity of a pipeline Network depends on theunit states and the Network structure, both of which change stochastically because of stochastic failures of theunits. To describe this, in this work a Capacity Network stochastic model is developed, based on Markov mod-eling and graph theory. The model is embedded in an optimization algorithm to compute the capacities of thepipeline Network under different scenarios and analyze the consequences of failures of units in the system.Indices of supply reliability and risk are developed with respect to two aspects: global system and individualcustomers. In the case study, a gas pipeline Network is considered and the results are analyzed in detail.