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基于Markov模型的分布式队列稳定频谱接入算法

李晓辉,张金钊,黑永强   

  1. 西安电子科技大学 综合业务网国家重点实验室,陕西 西安 710071
  • 出版日期:2014-03-25 发布日期:2014-03-15
  • 基金资助:
    国家自然科学基金资助项目(61201135);国家科技重大专项基金资助项目(2012ZX03001027-004);111引智基地基金资助项目(B08038);中央高校基本科研业务费基金资助项目(72145696)

Queue stability distributed spectrum access algorithm based on Markov model for cognitive radio network

  • Online:2014-03-25 Published:2014-03-15

摘要: 针对认知无线电系统中次级用户队列稳定性问题,通过建立发送状态马尔科夫(Markov)模型,提出了一种基于CSMA的自适应分布式频谱接入算法。次级用户根据感知结果自适应地调整退避时长参数,使稳态服务速率逐渐趋近到达速率,最终达到队列稳定。此外,还在满足对主用户碰撞限制的条件下,推导了次级用户的吞吐量上界,并证明当次级用户的数据到达速率小于此上界时,能够通过所提算法保证队列稳定。仿真结果证明了算法的有效性。

Abstract: The queue stability of the secondary users in cognitive network was considered. A Markov chain model for the state of users in the cognitive network was constructed and a distributed CSMA algorithm was proposed. The secondary users adjust the parameters of back-off time due to the arrival and service rate to ensure the queue stability. Upper bound of the capacity of secondary users under the collision constrainting to primary user was derived in closed form. If the arrival rate of secondary users is smaller than the upper bound of capacity, queue stability can be ensured by the proposed algorithm. Simulations verified the effectiveness of the algorithm.

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