Explore MATLAB source code curated for "MIMO-OFDM" with clean implementations, documentation, and examples.
This is a system-level simulation model for MIMO-OFDM implemented in TD-SCDMA systems, featuring detailed code implementation for channel modeling, signal processing, and performance analysis. The model provides practical utility for researchers and engineers working on wireless communication systems.
A powerful and comprehensive MATLAB simulation tool for MIMO-OFDM systems, featuring channel modeling, modulation schemes, and performance analysis. Ready for download and experimentation.
A dynamic resource allocation algorithm for MIMO-OFDM systems, implementing optimization techniques for improved spectral efficiency and interference management through multi-antenna and multi-subcarrier coordination.
Adaptive Allocation in MIMO-OFDM Channels: Implementation of the Water-Filling Algorithm with Code-Level Insights
This article introduces an improved detection algorithm for MIMO-OFDM systems—the sphere decoding algorithm. The implementation covers VB sphere decoding, CL sphere decoding, and enhanced variants (KCL and CL-MMSE algorithms). The simulation code can generate performance results, demonstrating algorithm effectiveness through MATLAB implementation with key functions handling signal constellation, search radius optimization, and metric calculations.
MATLAB source code for MIMO-OFDM system simulation with comprehensive channel modeling and performance analysis capabilities
MIMO-OFDM synchronization algorithm designed for synchronization in MIMO systems, implementing key techniques for timing recovery and carrier frequency offset correction
This MIMO-OFDM system simulation implements a 2x2 transceiver configuration with 64 OFDM subcarriers, utilizing iterative detection algorithms for MIMO processing. The simulation provides insights into MIMO-OFDM system operations and iterative receiver principles, with code implementation covering channel modeling, signal processing chains, and algorithm convergence analysis.
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.
An Adaptive Algorithm Design for Enhancing Data Rate and Spectral Efficiency in MIMO-OFDM Systems Through Dynamic Resource Allocation