MIMO Systems

Multiple-Input-Multiple-Output

Application

Future multimedia applications, e.g. mobile TV or mobile internet, will require much higher data rates than today's. The capacity of traditional communication systems are by far not sufficient for that. Multi-antenna techniques are seen as key technology to achieve the required data rates for the next generation of the air interfaces WiFi, WiMAX, and 3GPP-LTE, because of the spatial dimension complementing time (TDM), frequency (FDM), and code (CDM) multiple access technologies.



Wave Propagation for MIMO Applications

MIMO channel capacity grows linearly with the number of antenna pairs as long as the environment has sufficiently rich scatterers. Thus highly accurate wave propagation models are required to evaluate the MIMO channel parameters in complex propagation scenarios.

The radio network planning tool WinProp includes ray-optical wave propagation models which process 3D vector data of buildings in order to determine the mobile radio channel within various environments (rural, urban, indoor, and tunnels).





For the consideration of MIMO antenna arrays the tool allows the prediction of the radio channel in time, frequency, and spatial domains between each pair of the Tx and Rx antenna elements. Furthermore the ray tracing model was extended to consider vertical and horizontal polarization which influences the transmission, reflection and diffraction coefficients (e.g. according to Fresnel coefficients and geometrical/uniform theory of diffraction (GTD/UTD)).

Read more about the wave propagation results related to MIMO.

Modeling of MIMO Channels

Challenges for MIMO channel modeling:
  • Antenna arrays at transmitter and receiver:
    • Consideration of M antenna elements at the transmitter array for propagation computation.
    • Consideration of N antenna elements at the receiver.
    • Different types of antenna arrays: Uniform Linear Array, Circular Array.
    • Arbitrary adjustment of the individual antenna elements regarding azimuth and tilt.
    • Consideration of arbitrary patterns for each antenna element.

  • Correlation influence (coupling) between the individual antenna elements of the arrays.
AWE Communications provides a post-processing tool which is able to model MIMO antenna arrays at both sides of the radio link in order to obtain a full description of the MIMO channel.

Read more about the post-processing of wave propagation results.
MIMO scheme

 

Download a brochure about MIMO systems.

Download the MIMO application note.

Read more about wave propagation with ray tracing.

Read more about urban prediction models.


Read more about indoor prediction models.
Read publications related to  MIMO.











MIMO post-processing

 

Brochures


 

Brochure about MIMO applications
supported by WinProp

Projects related to MIMO





AWE Communications is partner
in the public funded project  MIMOWA