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.
Markov Chain for Modeling 3D Blockage in mmWave V2I Communications
01.04.2019
4050826 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch