OFDM Massive MIMO Matlab Projects is a standard solution for all type of data stream modulation. At first, we make up a clear statement, i.e., ‘OFDM Massive MIMO Matlab projects performs data transmission through many sub-channels that are close.’ In fact, Orthogonal Frequency Division Multiplexing joins with Multiple Input Multiple Output to exist on LTE, 5G, and beyond networks.
To be sure, the OFDM MIMO in 5G gives up to 1 Gbps of data rate. Hence all of a sudden, it is able to be good at video transmission too.
The OFDM MIMO with massive MIMO means that it uses a large number of antennas. Besides this, it builds antennas in a mix of 64×64, 128×128, and so on. Henceforth the number with cross operator states the count of input and output.
Key Processes Handled on OFDM Massive MIMO Matlab Projects
- Mutual Interference Reduction
- Peak-Average-Power Ratio mitigation
- Channel Estimation
- Antenna and channel allocation
- Adaptive or Spatial Modulation
- Beamforming
On the other hand, it also supports access for high mobile devices. Basically, the channel state info plays a vital role in ensuring better data exchange. Thus both the single-user and multi-user system can use massive MIMO Matlab OFDM. At this time, we would like to list a few methods that exist in this field.
PAPR Mitigation in OFDM Multiple Input Multiple Output
- Constant Modulus algorithm
- Improved PTS with optimization
- Block coding
- SLM with clipping or mapping
- SLM with Different Phase Sequences
- Precoding companding technique
- FISTA method
- Improved Tone reservation
- Tangent Rooting Companding Technique
- Adaptive SOICAF Algorithm
- Clipping noise compression method
- And also many more
Channel Estimation in Orthogonal Frequency Division Multiplexing MIMO
- Block sparse channel estimation
- Enhanced Least Mean Square and LMMSE
- Orthogonal matching Pursuit
- Zero correlation zone method
- Deep learning
- Discrete Fourier Transform
- Modified Bayes with Gaussian Mixture model
By the time the massive OFDM MIMO tests on Matlab is aid by two main toolboxes such as Communication and Phased Array System toolbox. Then, by all means, it brings perfect configuration for this area in OFDM Massive MIMO Matlab Projects. For more points, we link with the Matlab functions for OFDM and Massive MIMO below.
Matlab support for massive MIMO and their Functions
- Channel block diagonalization
- Multipath fading
- Orthogonal space time block (Encode and Decode)
- Error detection and correction
- Equalization and synchronization
- Filtering and modulation
- Hybrid beamforming
Matlab support for OFDM and their Functions
Digital Baseband modulation
- QAM
- PAM
- MSK
- APSK
Analog Baseband modulation
- Frequency modulation
- Frequency deviation
Analog Passband modulation
- AM and Single sideband AM
- Phase modulation
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