认知无线Mesh网络中基于概率的贪婪频谱决策技术研究

Research of Probability-based Greedy Spectrum Decision in Cognitive Wireless Mesh Networks

认知无线电网络传统的频谱决策方法中次用户根据不同的判据选择信道,会引起信道竞争和拥塞。针对认知无线Mesh网络中基于概率的频谱决策方法,提出一种贪婪信道选择算法,当发生频谱切换时,其结合改进的抢占优先(PRP)M/G/1排队理论为次用户选择最佳的目标信道。数值分析结果表明,该算法能够提高并均衡信道利用率,并且在次用户平均到达率较小的情况下,能进一步减少次用户的平均总传输时间,提高网络性能。

For the traditional spectrum decision methods in cognitive radio networks,the secondary users select their communication channel based on various criteria,which may result in channel contend and congest.Considering probability-based spectrum decision in cognitive wireless mesh networks,a greedy channel selection algorithm was proposed.When spectrum handoff occurres,the proposes algorithm combined with the improved preemptive resume priority（PRP） M/G/1queuing theory to select optimal target channels for secondary users.Numerical analysis results show that the algorithm can increase and balance the channel utilization.With lower average arrival rate of secondary users,the average overall transmission time of the secondary users has been further reduced and the network performance is enhanced.