认知无线网络中基于遗传算法的异构信道频谱感知策略

A HETEROGENEOUS CHANNEL SPECTRUM SENSING STRATEGY BASED ON GENETIC ALGORITHM IN COGNITIVE RADIO NETWORKS

在具有异构信道的认知无线网络环境中,各异构信道具有不同带宽、不同感知时间、不同使用概率、不同稳定度。在给定的时间槽内,感知的信道数目不同,以及感知的信道不同,频谱感知获得的带宽也不同,并且频谱感知耗费的时间也不同,传输的时间也不同。因此,针对如何选择待感知的信道,提高次用户获得的带宽,以及用于传输的时间,提出基于遗传算法的异构信道频谱感知策略GAHS(Genetic Algorithm based on Heterogeneous channels spectrum Sensing strategy)。仿真结果表明GAHS能提高节点获得的带宽和用于传输的时间。

In a cognitive radio network environment that contains heterogeneous channels, each heterogeneous channel is different from each other at bandwidth, sensing time, availability probability and stabilization. Moreover, within a designated time slot, there are differences at sensing channel numbers, sensing channels, bandwidths obtained by spectrum sensing, time consumed by spectrum sensing as well as transmitting time. Aim at the problem how to choose latency sensing channels for increasing the acquired bandwidths as well as the transmission time for secondary users, GAHS（ genetic algorithm based on heterogeneous channels spectrum sensing strategy） is proposed. Simulation results show that GAHS can increase the bandwidth and transmission time obtained by nodes.