Geometrically Based MIMO Mobile-to-Mobile Channel Model

Mobile communication is a rapidly growing area of the telecommunication industry as it has the ability to connect people while moving. As the demand for Mobile-to-mobile (M2M) communications is rising in recent years in systems such as mobile ad-hoc wireless network, intelligent transportation systems and relay based cellular networks, so also research in this direction is also receiving great attention from communication engineers and organization all over the world. Different from conventional fixed-to-mobile (F2M) cellular systems, in M2M systems both the transmitter (Tx) and receiver (Rx) are in motion and often characterized with low elevation antennas.Multiple-input-multiple-output (MIMO) technologies, employing multiple antennas at both the transmitter and receiver, have widely been adopted for the third generation (3G) and beyond-3G (B3G) F2M cellular systems due to their potential benefits of improving coverage, link reliability, and overall system capacity. More recently, MIMO has been receiving more and more attention for M2M systems as well.To successfully design M-to-M systems, it is necessary to have a detailed knowledge of the multipath fading channel and its statistical properties. Reliable knowledge of the propagation channel obtained from channel measurements and corresponding channel models serve as the enabling foundation for the design and analysis of MIMO M2M systems. Furthermore, the development of accurate MIMO M2M channel simulation models plays a major role in the practical simulation and performance evaluation of these systems. Simulation of fading channels is commonly accepted and used as opposed to field trials because it allows for less expenses and more reducible system test and evaluations. Early studies of single-input-single-output (SISO) M-to-M Rayleigh fading channels were reported in [1],[2]. They showed that the received envelope of M-to-M channels is Rayleigh faded under non line-of-sight conditions, but the statistical properties differ from mobile-to-mobile (M-to-M) channels.These are the bases of our research motivation on MIMO channel modeling and simulation for M2M communication systems. In this thesis, we propose a new MIMO channel model tagged "mixed-bounce two-ring Mobile-to-mobile MIMO channel model". We started by deriving the reference model and obtained a characteristics expression satisfying its transmission envelope upon which we further drove a generic space-time-frequency (STF) correlation function (CF). Earlier work on geometrically based MIMO channel modeling considered one-ring model single bounce and two-ring single bounce and two-ring double bounce scenarios were discussed. Our work is different with the mentioned models in the sense that we are looking at the model more encompassing. Our approach involves two-ring that is both the transmitter and receiver are considered to be surrounded by scatterers at an assumed radius independently within their location. It is called mixed bounce as it compositely considers all the possible propagation paths between the Tx and Rx. Therefore, our model considers both single bounce and double bounce together.We drove the mathematical relation representing the channel transfer function and determined its statistical properties. The deterministic simulation model is discussed using the reference model as a basis. Considering an isotropic scattering scenario, its Angle of Departure (AoD) and Angle of Arrival (AoA) were determined using the Method of Exact Doppler Spread (MEDS). The3-D cross-correlation is determined and simulation results show close approximation with the reference model. To further show the relevance of our model, the deterministic simulation model for a more realistic scattering scenario, the non-isotropic case was considered. The AoD and AoA were determined using the Modified Method of Equal Area (MMEA). The3-D cross-correlation simulation result from the deterministic model gives a close approximation of the proposed reference model.A close agreement between some channel statistics obtained from the proposed reference model and measurement data is observed, confirming the utility of our model. The proposed channel reference models and simulators are expected to be useful for the design, testing, and performance evaluation of future MIMO cellular and M2M Communication systems...