Abstract: 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. hherefore, we proposed the applacation of the genetic annealing Differential Evolution algorithm to SNR evolution for solving this optimum power allocanon problem. hhc results obtained arc similar to those with Linear Programming but there is no need to quantize orgroup power variables, the decay factor for controlling convergence speed is also not needed.

Key words: Interleave division multiple access, SNR evolution, Differential evolution, Power optimization