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A Dynamic Spectrum Allocation Algorithm for a Maritime Cognitive Radio Communication System Based on a Queuing Model

机译:基于排队模型的海事认知无线电通信系统动态频谱分配算法

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With the rapid development of maritime digital communication, the demand for spectrum resources is increasing, and building a maritime cognitive radio communication system is an effective solution. In this paper, the problem of how to effectively allocate the spectrum for secondary users (SUs) with different priorities in a maritime cognitive radio communication system is studied. According to the characteristics of a maritime cognitive radio and existing research about cognitive radio systems, this paper establishes a centralized maritime cognitive radio communication model and creates a simplified queuing model with two queues for the communication model. In the view of the behaviors of SUs and primary users (PUs), we propose a dynamic spectrum allocation (DSA) algorithm based on the system status, and analyze it with a two-dimensional Markov chain. Simulation results show that, when different types of SUs have similar arrival rates, the algorithm can vary the priority factor according to the change of users’ status in the system, so as to adjust the channel allocation, decreasing system congestion. The improvement of the algorithm is about 7–26%, and the specific improvement is negatively correlated with the SU arrival rate.
机译:随着海事数字通信的快速发展,对频谱资源的需求不断增长,建立海事认知无线电通信系统是一种有效的解决方案。本文研究了如何在海上认知无线电通信系统中有效地为具有不同优先级的二次用户(SU)分配频谱的问题。根据海上认知无线电的特点和现有对认知无线电系统的研究,建立了集中式的海上认知无线电通信模型,并建立了具有两个队列的简化排队模型。针对SU和主要用户(PU)的行为,提出了一种基于系统状态的动态频谱分配(DSA)算法,并通过二维马尔可夫链进行了分析。仿真结果表明,当不同类型的SU具有相似的到达速率时,该算法可以根据系统中用户状态的变化改变优先级因子,从而调整信道分配,减少系统拥塞。该算法的改进约为7–26%,特定的改进与SU到达率负相关。

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