Indoor double directional channel modelling for multiple-input multiple-output wireless communications
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NO FULL TEXT AVAILABLE. Access is restricted indefinitely. ----- The multiple-input multiple-output (MIMO) technique becomes one of the key techniques for wireless communications beyond 3G, due to its significant improvement on spectrum efficiency. Among the fields of research related to the MIMO technique, channel modelling is of critical importance in the design, development and deployment of MIMO systems as it plays the fundamental role in the assessment of the relative performance of the various MIMO architectures. The main goal of this thesis is to model the MIMO multipath channel in indoor environments, in order to help in determining the optimum MIMO architecture that can efficiently exploit the indoor multipath channel. The work focuses on the characterization of multipath propagation in indoor MIMO channels and the development of accurate indoor MIMO channel models, so as to thoroughly investigate the impact of the major indoor propagation mechanisms on indoor MIMO performance. Modelling will be performed for the indoor MIMO radio channel using both stochastic and deterministic methods. Firstly an indoor correlated MIMO channel model based on distributed scatterers will be proposed. Then, a stochastic indoor MIMO model is developed to incorporate the clustering propagation in indoor environments. The effect of directional clustering propagation on indoor MIMO performance will be clarified. A novel parameter, angle capacity variation, is proposed to measure the angular sensitivity of different antenna arrays. Further, indoor MIMO propagation experiments performed in various practical environments will be used to investigate the capacity behaviour of the multiple antenna system in terms of array configuration, interelement spacing and channel conditions in realistic scenarios. The measurement data will also be utilized to extract double directional multipath parameters for both line-of-sight and non-line-of-sight indoor environments using an efficient super-resolution algorithm based on the technique of expectation and maximization. A new parameter, angular spread factor is proposed to characterize the double directional multipath propagation on indoor MIMO performance. The analyses of the effect of indoor propagation mechanisms on obtained MIMO capacity will also be provided.
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