IDMA系统中基于SNR演进和差分进化的功率优化研究

Power Optimization in IDMA with SNR and Differential Evolutions

交织多址(IDMA)是一种依靠交织方式来区分多用户的多址接入技术。由于其性能在等功率分配和用户数较多时急剧下降,因此在IDMA系统中功率控制对提高系统性能尤为重要。提出了一种基于遗传算法的新型功率优化策略,该算法利用差分进化(DE)和SNR演进方法来实现IDMA的功率控制,所得结果与之前线性规划(LP)算法的相当,但是避免了LP算法中需要量化和分组变量以及需要使用步进参数等缺点。

Interleave Division Multiple Access（IDMA） is a multiple access scheme in which users are separated by the only means of interleavers. However, the performance of IDMA depends on power optimization because equal power repartition significantly deteriorates the performance when the number of users increases. Therefore, we proposed the ap- plication of the genetic annealing Differential Evolution algorithm to SNR evolution for solving this optimum power allocation problem. The results obtained are similar to those with Linear Programming but there is no need to quantize or group power variables, the decay factor controlling convergence speed is also not needed.