关键词: 无线宽带网络, 网络干扰, 吞吐量, 粒子群优化算法, 信道分配机制, 数据传输丢包率

Abstract: Aiming at the shortcomings of current wireless network channel allocation methods, such as interference and low network throughput, etc, we designed a wireless network channel allocation method based on combinatorial intelligent algorithm. Firstly, the principle of wireless network channel allocation was analyzed, and the wireless network channel allocation model was constructed. Secondly, the genetic algorithm was used to generate the initial allocation scheme of wireless network channel,  the particle swarm optimization algorithm was introduced to search the initial allocation scheme of wireless 
network channel, and a reasonable allocation scheme of wireless network channel was obtained. Finally, the throughput, network delay and packet loss rate of data transmission of wireless network were simulated and tested on the platform of MATLAB 2016. The simulation results show that this method greatly improves the throughput of wireless network. The network delay and packet loss rate of data transmission are much less than that of a single genetic algorithm or particle swarm optimization algorithm, which improves the communication performance of wireless network.

Key words: wireless broadband network, network interference, throughput, particle swarm optimization algorithm, channel allocation mechanism, packet loss rate of data transmission