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MIMO Communication

Multi-beam and electronically steerable antennas, hybrid and full digital beamforming for massive MIMO and mmWave systems

MIMO communication is a technique for improving the transmission and reception of signals over a channel by exploiting multipath propagation. Some examples MIMO communications are presented in this section.

  • Combine multiple-input-multiple-output (MIMO) processing and orthogonal frequency division multiplexing (OFDM) techniques together with beamforming to improve the received signal-to noise-ratio (SNR). Improved SNR reduces the bit error rate.

  • Use antenna arrays to improve the SNR and capacity of a wireless link.

  • Send multiple data streams through a scatter-rich channel by using a set of precoding and combining weights derived from the channel matrix. Each data stream can be independently recovered.

  • Employ hybrid beamforming at the transmit end of a massive MIMO communications system, applicable to both multi-user and single-user systems.


Modeling RF mmWave Transmitter with Hybrid Beamforming (RF Blockset)

This example illustrates a methodology for system-level modeling and simulation of a 66 GHz QPSK RF transmit and receive system with a 32-element hybrid beamforming antenna.

Wireless Digital Video Broadcasting with RF Beamforming (RF Blockset)

This example shows how to model a digital video broadcasting system which includes a 16 antenna phased array receiver operating at 28 GHz.

Modeling and Simulation of MIMO RF Receiver Including Beamforming (RF Blockset)

This example shows how to model a MIMO RF receiver with a baseband beamforming algorithm.

Featured Examples