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Modelling and Mitigation of Open Challenges in Cognitive Radio Networks Using Game Theory

机译:基于博弈论的认知无线电网络中开放挑战的建模与缓解

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摘要

Cognitive radio networks (CRNs) are being envisioned as drivers of the next generation of ad hoc wireless networks due to their ability to provide communications resilience in continuously changing environments through the use of dynamic spectrum access. However, the deployment of such networks is hindered by the vulnerabilities that these networks are exposed to. Securing communications while exploiting the flexibilities offered by CRNs still remains a daunting challenge. In this survey, we put forward concerns relating to security, spectrum sensing and management, and resource allocation and performance of CRNs and model mitigation techniques using game theory. Game theory can be a useful tool with its ability to optimize in an environment of conflicting interests. Finally, we discuss the research challenges that must be addressed if CRNs are to become a commercially viable technology.
机译:认知无线电网络(CRN)由于可以通过使用动态频谱访问在不断变化的环境中提供通信弹性的能力而被设想为下一代自组织无线网络的驱动程序。但是,此类网络面临的漏洞阻碍了此类网络的部署。在利用CRN提供的灵活性的同时确保通信安全仍然是一个艰巨的挑战。在这项调查中,我们提出了与安全性,频谱感测和管理,CRN的资源分配和性能以及使用博弈论的模型缓解技术有关的担忧。博弈论可以在利益冲突的环境中进行优化,因此是一种有用的工具。最后,我们讨论了要使CRN成为商业上可行的技术必须解决的研究挑战。

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