IEE Proceedings - Communications · 2006 · 51 citations · 8 references
EngineeringElectrical EngineeringAntennasPropagationWireless CommunicationsAntenna ArraysAntenna DesignAntenna ParametersChannel CapacityMimo AntennasWireless Channel ModelingAnechoic Chamber MeasurementAntenna AnalysisAntenna Array DesignMimoMimo Antenna ArraysMimo SystemsMultiple-input Multiple-output Channel CapacityStochastic Channel Modeling
In line‑of‑sight MIMO, the channel is typically rank deficient because the phases of the LoS rays are linearly dependent across receive elements. The authors investigate LoS MIMO capacity and derive a criterion for achieving maximum capacity as a function of transmit–receive separation, array orientation, and inter‑element spacing. They design orthogonal antenna arrays, evaluate several MIMO architectures with Monte‑Carlo simulations and a stochastic channel model, and validate the results with measurements in an anechoic chamber and an indoor office. The theoretical predictions closely match the measured LoS performance.
The authors investigate the capacity of multiple-input, multiple-output (MIMO) communication systems in line-of-sight (LoS). Under this scenario, the channel is normally rank deficient owing to the linear dependence of the LoS rays' phases on the receive elements. To overcome this problem, specifically designed antenna arrays can be employed, where the antenna elements are positioned in such a way as to preserve orthogonality; hence maximising the channel rank. To help in the design of such systems we derive the criterion for achieving maximum MIMO capacity in a LoS environment as a function of the transmit–receive separation distance, the array orientation and the inter-element spacings. We investigate the performance and the capacity sensitivity for a number of MIMO architectures using a Monte-Carlo simulation and a stochastic channel model. We then present a number of MIMO measurements performed inside an anechoic chamber and in an indoor office environment. Finally, our theoretic predictions are compared against the LoS measurements.
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Outdoor MIMO wireless channels: models and performance prediction
David Gesbert, Helmut Bölcskei, D. Gore et al. · IEEE Transactions on Communications · 2002 · 922 citations