基于遗传算法和微粒群算法的自适应调制研究

以常用的几种数字调制为例介绍自适应调制技术,分别采用改进型遗传算法(GA)和随机微粒群算法(PSO),在恒定功率以及平均误比特率受限的情况下对系统的吞吐量进行优化,从而精确实时地对信道状态做出判断,并调整调制模式.仿真结果说明了系统能够在不同信道条件及业务需要下,自适应地调整其转换信噪比,使系统的通信可靠性与有效性达到有机地统一.同时比较了两种算法在自适应调制模式切换方面的特点.

Study on Adaptive Modulation based on GA and PSO

Choosing several digital modulation modes as an example, adaptive Modulation was introduced. Via improved genetic algorithm and particle swarm optimization, the throushput of system was optimized under the conditions of constant power and limited average BER(bit error rate).Therefore,precise decision and fast modulation-mode switching were made with regard to CSI(channel state information). Simulation results show that the proposed system can adjust the switching-mode in case of different channel conditions and practical needs. The tradeoff between reliability and efficiency can be realized in the system. Meanwhile the two algorithms were compared in modulation-mode switching.