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A priority based cooperative spectrum utilization considering noise in common control channel in cognitive radio networks

机译:考虑优先级的协作频谱利用率,考虑认知无线电网络中公共控制信道中的噪声

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Spectrum sharing is a key problem in cognitive radio networks (CR). After the spectrum sensing and decision processes, detected or predicted spectrum holes need to be utilized by the CR users conforming to specific principles. Many approaches are applied in this field, like rule based or artificial intelligence inspired solutions, game theoretic scenarios, scheduling and auctioning. In this paper, we propose a distributed spectrum sharing mechanism that is based on individual spectrum decisions, priority and messaging mechanism between CR users. Here, all users sense and decide the channel occupancy by themselves. Cooperation is acquired by a messaging framework that enables each user to retrieve its neighbors' channel decisions and priorities to use a channel from the common control channel (CCC). In our scheme, we model a messaging topology that represents the deficiencies in CCC. On the other hand, interference graph is chosen to be fully connected. We simulated our network model and spectrum sharing system using MATLAB Simulink environment and extracted the following performance metrics: Traffic Request Satisfaction Rate (TRSR), Channel Occupancy Rate (COR) and Fairness among CR users. The obtained results are compared with other techniques employing rule based channel selection strategies as selfish and random channel selection.
机译:频谱共享是认知无线电网络(CR)中的关键问题。在频谱感测和决策过程之后,CR用户需要根据特定原理来利用检测到的或预测的频谱空洞。在该领域中应用了许多方法,例如基于规则或人工智能启发的解决方案,游戏理论场景,调度和拍卖。在本文中,我们提出了一种基于CR用户之间的各个频谱决策,优先级和消息传递机制的分布式频谱共享机制。在这里,所有用户都可以自己感知并确定频道占用率。通过消息传递框架获得合作,该消息传递框架使每个用户能够检索其邻居的信道决策和优先级,以使用来自公共控制信道(CCC)的信道。在我们的方案中,我们对表示CCC缺陷的消息传递拓扑进行建模。另一方面,选择干扰图为完全连接。我们使用MATLAB Simulink环境模拟了我们的网络模型和频谱共享系统,并提取了以下性能指标:流量请求满意度(TRSR),信道占用率(COR)和CR用户之间的公平性。将获得的结果与采用基于规则的信道选择策略作为自私和随机信道选择的其他技术进行比较。

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