认知无线网络中信道感知任务的模糊分配算法

M. Nabil, Mustafa ElNainay
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引用次数: 6

摘要

在认知无线网络中,认知用户被允许使用频谱的许可部分,只要不会对主要(许可)用户造成有害干扰。为了实现这一目标,频谱感知是为认知用户确定频谱接入机会的重要过程。在宽频谱应用中,建议将所需频段的感知任务分配到认知节点中,以减少感知过程开销。提出了一种基于模糊推理的感知任务分配方案。通过仿真证明,与其他两种协作感知机制相比,该方案可以降低感知误差的总体概率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fuzzy-based assignment algorithm for channel sensing task in cognitive radio networks
In cognitive radio networks, cognitive users are allowed to use the licensed portions of spectrum, as long as no harmful interference affects the primary (licensed) users. Towards achieving this goal, spectrum sensing is an essential process to determine spectrum access opportunities for the cognitive users. In wide spectrum applications, it is recommended to distribute the sensing task of the required bands among the cognitive nodes to reduce the sensing process overhead. This paper presents a fuzzy inference based scheme for distributing the sensing task among cognitive nodes. This scheme is proven, via simulations, to reduce the overall probability of sensing error compared to two other cooperative sensing mechanisms.
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