Abstract
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.
Highlights
IntroductionWith the rapid development of wireless technology, spectrum resources have become increasingly scarce resources, promoting the rapid development of cognitive radio technology [1,2,3,4,5]
With the rapid development of wireless technology, spectrum resources have become increasingly scarce resources, promoting the rapid development of cognitive radio technology [1,2,3,4,5].Spectrum sensing and spectrum allocation are important components of cognitive radio.spectrum allocation as a key part of cognitive radio technology, has received a great deal of attention from experts and scholars
The rapid development of maritime digital communication leads to a growing demand for spectrum resources
Summary
With the rapid development of wireless technology, spectrum resources have become increasingly scarce resources, promoting the rapid development of cognitive radio technology [1,2,3,4,5]. If there is no idle channel, SUs will wait for the response of the central base station (CBS) Based on this queuing feature, a great deal of research has been proposed to analyze the cognitive radio system using queuing theory and Markov chains. Ejaz et al proposed an optimal entropy-based cooperative spectrum sensing in maritime cognitive radio networks [26]. It is necessary to study the dynamic spectrum allocation algorithm of a maritime cognitive radio communication system. This paper proposes a DSA algorithm for a maritime cognitive radio communication system. The 2017, rest, of paper is organized as follows: In Section 2, we introduce the maritime cognitive radio communication model.
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