基于群智能优化算法的无线通信网络信道分配研究

Research on Channel Assignment in Wireless Communication Network Based on Swarm Intelligence Optimization Algorithm

为提高无线通信网络信息传输的速率与可靠性,提出了基于群智能优化算法的无线通信网络信道分配方法。构建包括链路传输速率与干扰的无线通信网络分配模型,以传输速率最大以及干扰程度最小为目标,以信道资源与天线资源为约束条件,通过加权计算获取适应度函数,将最小化适应度函数作为无线通信网络信道分配的优化目标,采用粒子群算法得到无线通信网络信道分配结果。实验表明:该方法能够提高无线通信网络的传输速率,降低同信道以及邻近信道的干扰程度。

In order to improve the speed and reliability of information transmission in wireless communication networks,a channel allocation method based on swarm intelligence optimization algorithm is proposed.A wireless communication network allocation model including link transmission rate and interference is constructed.With the maximum transmission rate and minimum interference as the goal,channel resources and antenna resources as the constraint conditions,the fitness function is obtained through weighted calculation,and the minimum fitness function is used as the optimization goal of wireless communication network channel allocation.The wireless communication network channel allocation result is obtained by using particle swarm optimization algorithm.The experiment shows that this method can improve the transmission rate of wireless communication network and reduce the interference of the same channel and adjacent channels.