Resource allocation based on Tabu Search and Genetic Algorithm in multiuser OFDM system

Orthogonal frequency division multiplexing (OFDM) technology is core to the field of wireless communications. In order to optimize the resource allocation and minimize the transmitted power in the OFDM system, this paper proposes a hybrid optimizing algorithm which combines the advantages of both the tabu search algorithm with genetic algorithm. In the proposed algorithm, the tabu search is used to form a new crossover, and the better individual is added to the initial population according to its fitness. This improves the algorithm's climbing ability, and also speeds up its convergence. Simulation results show that the algorithm proposed has superior effectiveness and reliability as compared to other improved genetic algorithms.