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On performance trade-offs in cognitive networks

机译:关于认知网络的性能权衡

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In this section we present the scenario under investigation, along with numerical results, We assume a wireless cognitive mesh network where the source and the sink are located in opposite locations inside the cognitive area, An arbitrary number of intermediate secondary nodes, whose selection is based on the multihop selection algorithm presented above with ε = 0.8, act as relays assisting transmission, The primary system is a relay network with at most one relay at its disposal, This choice serves the visualization of the results in terms of primary system SINR, since in more sophisticated network architectures it is difficult to define a global SINR measure, against which to express capacity, Fig, 2 and Fig, 3 illustrate the effect of these parameters on system performance.
机译:在本节中,我们介绍了正在调查的场景,以及数值结果,我们假设源和接收器位于认知区域内的相反位置的无线认知网状网络,其选择所基于的任意数量的中间次级节点。在上面用ε= 0.8呈现的多彩光选择算法,作为继电器辅助传输,主系统是一个带有大多数继电器的继电器网络,该选择是在主要系统SINR方面的可视化,从而实现了主要系统SINR的结果。在更复杂的网络架构中,难以定义全局SINR测量,以表达能力,图2和图2,图3示出了这些参数对系统性能的影响。

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