Precise measurement and modelling of the Direction of Arrival (DoA) and Direction of Departure (DoD) in the Multiple-Input Multiple-Output (MIMO) channel based on their correlation properties and joint distributions have not been investigated properly. Our main contribution in this paper is two fold. Firstly, based on a modified Gumbel's bivariate exponential approach, we propose a generic indoor MIMO channel modelling framework particularly for the double-directional 'general trend' that has been observed in these dual-spatial domains. Secondly, we propose a transformation technique to generate the pair wise DoA and DoD components incorporating the correlation properties of the variates around the full azimuth range. Results show that the newly proposed modelling approaches provide a good match to the real data, offering an alternative hassle-free method to generate realistic directional-based stochastic MIMO channel responses in different indoor environments.
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