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    Accuracy-Complexity Tradeoff Analysis and Complexity Reduction Methods for Non-Stationary IMT-A MIMO Channel Models

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    IEEE_Access-2019-53735.pdf (414.7Kb)
    Date
    2019-12-12
    Author
    Zhang, Yan;
    Ghazal, Ammar;
    Wang, Cheng-Xiang;
    Zhou, Hongrui;
    Duan, Weiming;
    Aggoune, el-Hadi
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    Abstract
    High-mobility wireless communication systems have attracted growing interests in recent years. For the deployment of these systems, one fundamental work is to build accurate and efficient channel models. In high-mobility scenarios, it has been shown that the standardized channel models, e.g., IMT-Advanced (IMT-A) multiple-input multiple-output (MIMO) channel model, provide noticeable longer stationary intervals than measured results and the wide-sense stationary (WSS) assumption may be violated. Thus, the non-stationarity should be introduced to the IMT-A MIMO channel model to mimic the channel characteristics more accurately without losing too much efficiency. In this paper, we analyze and compare the computational complexity of the original WSS and non-stationary IMT-A MIMO channel models. Both the number of real operations and simulation time are used as complexity metrics. Since introducing the nonstationarity to the IMT-A MIMO channel model causes extra computational complexity, some computation reduction methods are proposed to simplify the non-stationary IMT-A MIMO channel model while retaining an acceptable accuracy. Statistical properties including the temporal autocorrelation function, spatial cross-correlation function, and stationary interval are chosen as the accuracy metrics for verifications. It is shown that the tradeoff between the computational complexity and modeling accuracy can be achieved by using these proposed complexity reduction methods.
    Description
    open access journal
    Citation : Zhang, Y., Ghazal, A., Wang, C.-X., Zhou, H., Duan, W. and Aggoune, E. M. (2019) Accuracy-complexity tradeoff analysis and complexity reduction methods for non-stationary IMT-A MIMO channel models. IEEE Access,
    URI
    https://dora.dmu.ac.uk/handle/2086/18929
    DOI
    https://doi.org/10.1109/access.2019.2957820
    Research Institute : Institute of Engineering Sciences (IES)
    Peer Reviewed : Yes
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    • School of Engineering and Sustainable Development [1940]

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