NC-OFDM多种群自适应免疫优化子载波分配算法

Multi-colony Adaptive Immune Optimization Based Subcarrier Allocation Algorithm in NC-OFDM

资源分配是认知无线电网络中的关键问题,为实现认知用户总发射功率最小,针对NCOFDM系统提出了一种多种群自适应免疫优化子载波分配算法。给出了算法的基本思想及实现流程,设计了合适的自适应算子,加快算法收敛速率的同时避免陷入局部最优。仿真结果表明,相同条件下与已有算法收敛速率提升20%,系统总功率降低10%,实现了快速、高效的子载波分配。

The solution of resource allocation is a significant issue in cognitive wireless network.For mini-mizing total power of second users,an subcarrier allocation algorithm of multi-colony adaptive immune op-timization in NC-OFDM system is proposed.The basic idea and processes of multi-colony adaptive immune algorithm are given.And suitable adaptive operators are designed to speed up the convergence rate and simultaneously avoid the remaining local optimal.The simulation results show that the use of the algo-rithm can advance 20 percent in the reach of convergence state and make the total power of whole system decline 10 percent,and so it is an efficient subcarrier allocation algorithm of fast convergence speed.