Simulation of Various Resource Allocation Algorithms in OFDMA Systems
Simulation and comparison of multiple resource allocation algorithms in OFDMA systems with performance analysis under different scenarios
Explore MATLAB source code curated for "ofdma" with clean implementations, documentation, and examples.
Simulation and comparison of multiple resource allocation algorithms in OFDMA systems with performance analysis under different scenarios
An excellent MATLAB simulation program for OFDMA that provides a concise system-level implementation, serving as an introductory resource for OFDMA beginners with detailed code explanations and algorithmic insights.
MATLAB source code for OFDMA physical layer development, originally provided by Freescale. This resource offers valuable implementation examples including key algorithms like subcarrier allocation, cyclic prefix insertion, and FFT/IFFT operations, making it particularly helpful for physical layer engineers working on wireless communication systems.
OFDMA reception signal processing workflow. This code example demonstrates the complete receiver chain implementation, showing how an OFDMA receiver processes incoming signals through key stages including demodulation, channel estimation, and equalization.
Comprehensive simulation and performance evaluation of multiple resource allocation algorithms for Orthogonal Frequency Division Multiple Access (OFDMA) communication systems, including implementation approaches and comparative analysis
OFDM system simulation including fading channel analysis, OFDM channel estimation, and OFDMA implementation with signal processing techniques
This MATLAB code demonstrates power allocation optimization in OFDMA systems, including mathematical modeling and implementation approaches.
MIMO-OFDMA Resource Allocation Strategy with Proportional Fairness Constraint in OFDMA Systems with Algorithm Implementation Approaches
OFDMA Resource Allocation Simulations implementing a low-complexity proportional fairness algorithm with performance evaluation metrics and resource optimization techniques for wireless communication systems
MATLAB-based OFDMA simulation framework with configurable multi-user wireless communication parameters and spectral efficiency analysis