Adjusting of the multicarrier communication system using binary particle swarm optimization

The multicarrier signaling is currently widely used in wireless communications and networking. The adaptation of transmitting parameters according to the actual environment and other requirements is desirable. This paper thus deals with the modified particle swarm optimization method used to adjust multicarrier communication system parameters (power and mapping on subcarriers) with respect to several optimization criteria. The particle swarm optimization adjusts the particles (agents) on the basis of information about the best previous particle´s performance and the best previous performance of its neighbors. The work described in this paper introduces new criterion to achieve user defined data rate and allows switching-off of unnecessary subcarriers.