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A Cross-Layer Design of Channel Assignment and Routing in Cognitive Radio Networks

机译:认知无线电网络中信道分配和路由的跨层设计

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Cognitive Radio (CR) technology provides a new and promising solution to improve the spectrum utilization. Due to the dynamic and diversity characteristics of channels in Cognitive Radio Networks (CRN's), channel assignment and routing paths selection are critical issues for the functionality and performance of CRNs. In this paper, the routing metric of Minimum cumulative Interference and channel Switching Delay (MISD) is proposed for CRNs, which jointly undertakes the intra/inter-flow interference and channel switching delay for the endto-end route. With consideration of the diversity of Spectrum Opportunity (SOP) set for each cognitive user, the optimal end-to-end path and channel on each hop are found in route resolve procedure by crosslayer design among the physical layer, MAC layer and network layer. Simulation results show that the proposed routing metric outperforms minimum hops metric and Weighted Cumulative Expected Transmission Time (WCETT) metric in terms of network throughput, end-to-end delay, packets delivery ratio and route overhead in CRNs.
机译:认知无线电(CR)技术为提高频谱利用率提供了一种新的有前途的解决方案。由于认知无线电网络(CRN)中信道的动态和多样性特征,信道分配和路由路径选择对于CRN的功能和性能至关重要。本文提出了针对CRN的最小累积干扰和信道切换延迟(MISD)的路由度量,该路由度量共同承担了端到端路由的流内/流间干扰和信道切换延迟。考虑到为每个认知用户设置的频谱机会(SOP)的多样性,通过物理层,MAC层和网络层之间的跨层设计,在路由解析过程中找到了每个跃点上的最佳端到端路径和信道。仿真结果表明,所提出的路由度量在网络吞吐量,端到端延迟,数据包传递率和CRN中的路由开销方面均优于最小跳数度量和加权累积预期传输时间(WCETT)度量。

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