Classical MIMO-OFDM Simulation (MATLAB)
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Resource Overview
Complete classical MIMO-OFDM simulation (MATLAB) includes modules: create_channel.m, BitLoad.m, ComputeSNR.m, chow_algo.m, EnergyTableInit.m, campello_algo.m, ResolvetheLastBit.m, modulate.m, precode.m, ifft_cp_tx_blk.m, channel.m, fft_cp_rx_blk.m, shape.m - implementing comprehensive beamforming, signal processing, and optimization algorithms for wireless communication systems.
Detailed Documentation
Complete classical MIMO-OFDM simulation (MATLAB) includes the following modules:
- create_channel.m: Creates wireless channel models with configurable parameters such as path loss, fading characteristics, and delay profiles for realistic signal propagation simulation
- BitLoad.m: Implements bit loading algorithms to optimize data distribution across subcarriers based on channel conditions, maximizing spectral efficiency
- ComputeSNR.m: Calculates Signal-to-Noise Ratio metrics for performance analysis, typically implementing both theoretical and empirical SNR computation methods
- chow_algo.m: Executes Chow's algorithm for power allocation and bit loading optimization, featuring adaptive modulation schemes for different channel quality scenarios
- EnergyTableInit.m: Initializes energy tables for power distribution management across multiple antennas and subcarriers, setting up reference power levels
- campello_algo.m: Implements Campello's algorithm for discrete bit loading and power allocation, providing near-optimal solutions for integer bit constraints
- ResolvetheLastBit.m: Resolves the last bit allocation issue in discrete bit loading algorithms, handling edge cases in subcarrier bit distribution
- modulate.m: Performs signal modulation using various digital modulation schemes (QPSK, QAM, etc.) with configurable constellation mapping
- precode.m: Implements precoding techniques for MIMO systems, including linear precoders like Zero-Forcing and MMSE for interference mitigation
- ifft_cp_tx_blk.m: Handles transmitter block processing with Inverse Fast Fourier Transform and Cyclic Prefix addition, converting frequency-domain signals to time-domain waveforms
- channel.m: Processes channel effects including multipath fading, AWGN addition, and MIMO channel matrix operations for realistic transmission simulation
- fft_cp_rx_blk.m: Manages receiver block processing with Fast Fourier Transform and Cyclic Prefix removal, converting time-domain signals back to frequency-domain for demodulation
- shape.m: Performs signal shaping and filtering operations, typically implementing pulse shaping filters like raised-cosine for spectral control
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