MIMO+OFDM Simulation Under LTE Standards
Comprehensive Simulation Program for MIMO+OFDM Systems Following LTE Specifications
Explore MATLAB source code curated for "MIMO" with clean implementations, documentation, and examples.
Comprehensive Simulation Program for MIMO+OFDM Systems Following LTE Specifications
MATLAB implementation for calculating the ergodic capacity of Rayleigh fading MIMO channels with comprehensive code analysis and performance evaluation
MATLAB script implementing Bit Error Rate (BER) computation for BPSK modulation over a 2x2 MIMO Rayleigh fading channel using Zero-Forcing Successive Interference Cancellation (ZF-SIC) equalization technique with detailed algorithm implementation
Implementation of MMSE-based channel inversion for Multiuser MIMO (MU-MIMO) that selects 4 active users from a pool of 20 users and constructs a MU-MIMO framework for multi-user operations, incorporating algorithm selection and channel matrix processing techniques.
Comprehensive physical layer model for fixed WiMAX featuring adaptive coding and modulation schemes with transmission support for both OFDM and MIMO-OFDM configurations, including channel estimation and frequency synchronization capabilities.
Implementation of Peak-to-Average Power Ratio reduction through Partial Transmit Sequence method in Space-Time Block Coded Multiple-Input Multiple-Output Orthogonal Frequency Division Multiplexing systems with algorithm optimization details
Simulink implementation of a 2x2 MIMO system employing 16QAM modulation with convolutional coding, featuring turbo iterative detection using soft interference cancellation (SoIC) at the receiver combined with APP decoding
The 2×2 MIMO system employing Maximum Likelihood (ML) equalization demonstrates performance nearly equivalent to the 1-transmit 2-receive antenna Maximal Ratio Combining (MRC) case, achieved through optimized channel modeling and efficient algorithm implementation.
OFDM channel characteristics transmission simulator, which implements MIMO-OFDM channel modeling with configurable parameters including noise variance, antenna configuration, and input symbols. Key inputs: sig2 - noise variance, Mt - number of transmit antennas, Mr - number of receive antennas, x - complex input symbol vector/matrix (for MIMO systems, columns represent antenna outputs per time instance). The simulator implements frequency-selective channel modeling using block-Toeplitz matrix representation.
MATLAB simulation framework for Cooperative MIMO relaying systems with comprehensive channel modeling and performance analysis capabilities