Queuing-theoretical Multi-user Dynamic Spectrum allocation & Sharing Mechanism in Multi-channel Cognitive Radio Networks

Recently, cognitive radio has been proposed to improved the spectrum resource utilization efficiency. The secondary users (SUs) are allowed to sense, detect and access the frequency bands that are not currently being in use by primary users (PUs). In fact, SUs always have no knowledge about PUs' exact communication mechanism. In order to guarantee PUs' communication quality of service (QoS) and satisfy SUs' demand of using spectrum resource, it is a challenging task to find the spectrum sensing and access mechanism. When there are multiple SUs and multiple channels, the spectrum allocation and spectrum sharing must be considered. In this paper, we propose a multi-user spectrum allocation and multi-channel spectrum sharing mechanism for the SUs confronting with unknown primary behavior and study the interference to PUs caused by their dynamic access. The interference caused by SUs was analysis utilizing the Renewal Theory. Under the constraints of the interference to PUs and the secondary network's stability, the queuing theory is utilized to obtain the maximum average data rate of SUs. Through lots of simulations, we verify the effectiveness of our analysis.