Power Allocation of Cognitive Wireless Network Based on Immune Clonal Optimization

The optimization of downlink power allocation of cognitive OFDM wireless network is converted into an optimization problem with constraints. An immune clonal algorithm is proposed to solve this problem. The power allocation model, key techniques, and implementation processes are described. The coding, clonal, and maturation operators are designed. The experiments results show that, with the constraints of total power, the bit error rate (BER) and the acceptable interferences of primary user, the algorithm can maximizes the total transmit rate and converges rapidly. It can get the better power allocation scheme and improve the reuse of spectrum.