Adaptive Resource Allocation Algorithm for OFDM Systems Based on Genetic Algorithm

This document discusses the MATLAB source code for an adaptive resource allocation algorithm in OFDM systems based on genetic algorithms. The OFDM adaptive resource allocation problem involves multiple aspects including carrier assignment and power distribution, forming a nonlinear optimization model that contains both discrete and continuous decision variables along with complex nonlinear constraints. Therefore, intelligent optimization algorithms provide an effective solution approach. The genetic algorithm implementation mimics biological evolution processes through selection, crossover, and mutation operations to search for optimal solutions. Key MATLAB functions typically include population initialization, fitness evaluation based on SINR or throughput metrics, constraint handling mechanisms, and elitism preservation. The algorithm iteratively improves resource allocation strategies by evolving candidate solutions over generations, effectively balancing exploration and exploitation to handle the mixed-variable optimization challenge in OFDM systems.