Evaluation of the time-evolutionary directional indoor channel model

In this paper, a new stochastic time-evolutionary directional indoor channel model is proposed based on real-time measurement data. The model incorporates the dynamic evolution of paths when the mobile moves by adapting the concept of Markov processes. In order to take into account the multiple births and deaths as well as the correlation between the number of births and deaths observable within the measurement data, an M-step, 4-state Markov channel model is proposed. The lifespans of paths and the spatio-temporal variations of paths within their lifespans are also taken into consideration, found to be well-modelled by an exponential and a Gaussian probability density function, respectively. Finally, the validity of the proposed model is evaluated by comparing the statistical properties of the measurement results with the simulation results.