| At present, most regions are covered by multiple heterogeneous wireless networks at the same time. As the popularity of intelligent multi-mode mobile terminals, it becomes possible to let one multi-mode terminal access to several heterogeneous wireless networks at the same time. Several heterogeneous wireless networks provide cooperative support for multi-mode terminal is conducive to promote convergence of heterogeneous wireless networks, balance each networks’ load, accomplish complementary advantages of each networks, and exploit potentialities of existing network resources totally.Heterogeneous wireless networks cooperative communication involves the problem of how the intelligent multi-mode mobile terminal allocate it’s transmit power on each heterogeneous wireless networks. Take the shortly battery life of mobile terminals into consider, efficient and reasonable power allocation scheme is the key point of heterogeneous wireless networks cooperative communication system. This article, at the perspective of power allocation and control, researches terminals’ power allocation scheme in the heterogeneous wireless networks cooperative communication system, and finally proposed a power allocation scheme based on improved genetic algorithm. Compare to traditional networks, intelligent multi-mode terminal works in heterogeneous wireless networks cooperative communication system adapt the power scheme we proposed can obtain higher transmit rate with less energy consumption, improved energy efficiency.During the research, the innovative works this article completed are mainly include as follow:Firstly, this paper improved the performance of traditional genetic algorithm and proposed an improved genetic algorithm by controlling the probability of chromosome participate in the genetic operation process based on their adaptive value, and controlling the probability of adapting different genetic operator based on iterations.Secondly, this paper propose a detail heterogeneous wireless networks cooperative communication system model consist of LTE WIFI UWB and analysis its math model, then propose a power allocation scheme based on water-filling algorithm in which the terminal can obtain the theoretic highest transmit rate with a given energy consumption.Thirdly, based on the system model this paper proposed, this paper propose an optimization model of optimize terminals’ transmit rate and transmit energy consumption, and solve it through the improved genetic algorithm this paper proposed, then propose a multi-objective optimization power allocation scheme based on improved genetic algorithm. |