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Delay-Throughput Tradeoff for Supportive Two-Tier Networks: A Static Primary Tier Vs. a Mobile Secondary Tier

机译:支持性两层网络的延迟吞吐量折衷:静态主层Vs。移动二级

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Consider a wireless network of two tiers with different priorities: a primary tier and a secondary tier, which is an emerging network scenario with the advancement of cognitive radio technologies. The primary tier is constructed over static nodes of density n, which are randomly distributed and have an absolute priority to access the spectrum. The secondary tier contains mobile nodes of density m = nß with ß ¿ 2, which can only access the spectrum opportunistically to limit the interference to the primary tier. By allowing the secondary tier to relay the packets for the primary tier, we show that the achievable per-node throughput scaling for the primary tier can be improved to ¿p(n) = ¿(1/log n). In the associated delay analysis, two mobility models are considered for the secondary nodes: an i.i.d. mobility model and a random walk model. We show that the primary tier can achieve delay scaling laws of ¿(1) and ¿(1/S) with the two mobility models, respectively, where S is the random walk step size. Furthermore, we show that the primary tier can achieve a delay-throughput tradeoff of Dp(n) = O (n¿p(n)) with ¿p(n) = O(1/log n) for the random walk model. The throughput and delay scaling laws for the secondary tier are also established, which are the same as those for a stand-alone mobile network.
机译:考虑一个具有不同优先级的两层无线网络:主要层和次要层,这是随着认知无线电技术的发展而出现的新兴网络场景。初级层是在密度为n的静态节点上构建的,这些节点是随机分布的,具有访问频谱的绝对优先级。次要层包含密度为m = n ö频谱时机限制将干扰限制在主层。通过允许次要层中继主要层的数据包,我们表明主要层可实现的每节点吞吐量缩放可提高到ƒÂ¢Â p (n )=×(1 / log n)。在相关的延迟分析中,为次要节点考虑了两个移动性模型:流动性模型和随机游走模型。我们表明,主要层可以使用两个移动性模型分别实现ƒ(1)和ƒ(1 / S)的延迟缩放定律,其中S是随机的步行步长。此外,我们表明,主层可以实现D p (n)= O(nâ,¿ p (n) ),对于随机游走模型,使用ƒ,, p (n)= O(1 / log n)。还建立了辅助层的吞吐量和延迟缩放定律,与独立移动网络的吞吐量和延迟定律相同。

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