基于OFDM认知无线电网络的最优路径算法

摘要

针对基于正交频分复用的分布式认知无线电网络,在考虑频谱移动特性的同时,为保证认知用户数据传输的可靠性,提出一种最优路径的基于OFDM认知无线电网络路由算法.该算法首先通过建立认知无线电网络的模型计算信道的期望传输时间和信道干扰,结合类似于按需路由的基本流程得到所有可能的路径.最后,根据最小累积期望传输时间和路径平均吞吐量的指标来选择最优路径.仿真的结果表明,OROCR算法可以明显地减少平均端到端时延,大大地提高平均端到端吞吐量.%In order to guarantee the reliability of the cognitive user data transmission in the OFDM cognitive radio networks, an optimal route OFDM-based cognitive routing (OROCR) algorithms is presented in this paper, in which considers the mobile of spectrum by the primary user reappearing in the channel. First of all, the model of cognitive radio network is established which calculate expected transmission time and channel interference. Secondly, the similar on-demand routing algorithm is used to find all possible paths; In addition, according to the index of the minimum expected transmission time minimum channel interference, we can obtain the optimal routing. The simulation results show that the algorithm OROCR can significantly reduce the end-to-end delay and improve end-to-end throughput obviously.