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.
- Model RF Systems with Antenna Arrays Using RF Blockset Antenna Block (RF Blockset)
Use the Antenna block to design antenna arrays for an RF system.