基于隐马尔可夫模型的动态跳频信道接入算法

针对认知无线电信道接入中存在主用户和次级用户相互干扰、吞吐量下降的问题,提出基于隐马尔可夫模型的动态跳频信道接入算法。由于长时段的数据传输造成次级用户无法及时切换信道,将数据传输时段分为多个跳频时段,构建隐马尔可夫模型预测可用信道,建立跳频信道集合,设计动态跳频序列,使信道接入的效率更高。理论分析与仿真结果表明,该算法能够有效降低各级用户之间干扰概率并显著改善系统吞吐量,增加系统可靠性和信道利用率。

Research on dynamic frequency hopping channel accessalgorithm based on hidden Markov model

A dynamic frequency hopping channel access algorithm is proposed based on the hidden Markov model. It helps to improve the interference of primary users and secondary users, and the decrease of throughput. Long-time data transmission leads to the fact that secondary users cannot switch channels timely, so we divide the long transmission time into several frequency hopping periods, build the hidden Markov model to predict the available channels, set up frequency hopping channel set, and design dynamic frequency hopping sequence. Theoretical analysis and simulation results show that the algorithm reduces the interference of primary users and secondary users obviously, and improves system throughput effectively, and it increases system reliability and channel utilization.