Simulation of the achievable indoor MIMO capacity by using an adaptive phased-array
For a scenario-specific (4,4) multiple-input-multiple-output (MIMO) system in a corridor, we predict the channel matrix between the transmit and receive ports through image ray tracing (IRT) simulations. The physical arrays at the transmit/receive ends are 4 linear equally spaced /spl lambda//2-dipo...
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Zusammenfassung: | For a scenario-specific (4,4) multiple-input-multiple-output (MIMO) system in a corridor, we predict the channel matrix between the transmit and receive ports through image ray tracing (IRT) simulations. The physical arrays at the transmit/receive ends are 4 linear equally spaced /spl lambda//2-dipoles (vertically polarized, horizontally arranged and /spl lambda//2 separated) connected to the transmit/receive ports either directly (separate /spl lambda//2-dipole patterns) or through a static/adaptive beamforming network (collocated patterns). For collocated radiation, we use either static patterns (Butler beamformer) or adaptive patterns (collocated phased-array). Accordingly, we show the capacity improvement through adaptive patterns assuming a narrow-band frequency-flat channel (2.4 GHz operating frequency) for each scenario. |
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DOI: | 10.1109/RAWCON.2004.1389096 |