Investigating the blockage effects on signal strength for the mmWave band used in vehicle-to- infrastructure (V2I) communications is the main goal of this study. The proposed Markov chain model successfully captures the dynamics of the channel caused by blockers surrounding a moving vehicle. The transition probabilities are calculated both analytically and via a geometric simulation, which are found to match well. These transition probabilities are then used to build a Markov chain model. The proposed Markov model accurately captures the autocorrelation (ACF) and the empirical cumulative distribution function (ECDF) of the link capacity for a moving vehicle, matching the results of the geometric model. Although the Markov chain requires statistical stationarity to work well, this paper proposes a way to switch between several Markov chains to tackle the scenarios with non-stationary blocker densities such as a straight-line road.


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    Title :

    Markov Chain for Modeling 3D Blockage in mmWave V2I Communications


    Contributors:


    Publication date :

    2019-04-01


    Size :

    4050826 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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