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Thread: WIDEBAND CHANNEL CHARACTERIZATION

  1. #1
    VIP Member Reputation: 1850 ANTRF's Avatar
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    Default WIDEBAND CHANNEL CHARACTERIZATION

    WIDEBAND CHANNEL CHARACTERIZATION:
    SIMULATION AND MEASUREMENTS ANALYSIS.

    The development of wireless telecommunication requires higher speed data rates. Wideband
    MIMO systems are a possible answer to that need. Both wideband and MIMO characteristics
    enhance multipath propagation, and require a precise knowledge of the channel to properly
    exploit their capabilities. The extraction of the channel parameters can be done from the
    measurements, but also from simulations.
    In the frame of this thesis, the possibility to use ray tracing to derive capacity coverage prediction
    is studied, based on the comparison with measurements. First the radio channel models are
    discussed, from the MIMO channel model to the ray tracing methods. Then the measurements
    methods and the algorithms extracting the channel parameters are presented, before focusing on a
    measurement campaign to compare prediction from ray tracing and measurements-based SAGE
    algorithm. Key parameters for capacity –delay spread and angular spread– were first compared,
    then capacity itself is introduced and a capacity comparison is conducted. Polarization influence
    on capacity is also studied, and different methods of emulating polarization on ray tracing are
    studied. Last but not least, the desired capacity coverage prediction is achieved on a wide area
    around the measurement streets.
    The simulation results with the ray tracing software are promising. The multipath components
    were predicted well enough by ray tracing to compute capacity. Then the polarization emulating
    methods gave interesting results: polarization influences capacity, and the derived capacity
    values were close enough to those computed from measurement to launch a capacity coverage
    calculation, first step toward a cellular planning based on MIMO capacity. However, some
    uncertainties are still left, due to computation time and models approximations.


    B.R.

    ANTRF
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  3. #2
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    Default Re: WIDEBAND CHANNEL CHARACTERIZATION

    Quote Originally Posted by ANTRF View Post
    WIDEBAND CHANNEL CHARACTERIZATION:
    SIMULATION AND MEASUREMENTS ANALYSIS.

    The development of wireless telecommunication requires higher speed data rates. Wideband
    MIMO systems are a possible answer to that need. Both wideband and MIMO characteristics
    enhance multipath propagation, and require a precise knowledge of the channel to properly
    exploit their capabilities. The extraction of the channel parameters can be done from the
    measurements, but also from simulations.
    In the frame of this thesis, the possibility to use ray tracing to derive capacity coverage prediction
    is studied, based on the comparison with measurements. First the radio channel models are
    discussed, from the MIMO channel model to the ray tracing methods. Then the measurements
    methods and the algorithms extracting the channel parameters are presented, before focusing on a
    measurement campaign to compare prediction from ray tracing and measurements-based SAGE
    algorithm. Key parameters for capacity –delay spread and angular spread– were first compared,
    then capacity itself is introduced and a capacity comparison is conducted. Polarization influence
    on capacity is also studied, and different methods of emulating polarization on ray tracing are
    studied. Last but not least, the desired capacity coverage prediction is achieved on a wide area
    around the measurement streets.
    The simulation results with the ray tracing software are promising. The multipath components
    were predicted well enough by ray tracing to compute capacity. Then the polarization emulating
    methods gave interesting results: polarization influences capacity, and the derived capacity
    values were close enough to those computed from measurement to launch a capacity coverage
    calculation, first step toward a cellular planning based on MIMO capacity. However, some
    uncertainties are still left, due to computation time and models approximations.


    B.R.

    ANTRF
    I seem to be a good material
    thanks for sharing

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