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Network-Layer Performance Analysis of Multihop Fading Channels

机译:多跳衰落信道的网络层性能分析

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A fundamental problem for the delay and backlog analysis across multihop paths in wireless networks is how to account for the random properties of the wireless channel. Since the usual statistical models for radio signals in a propagation environment do not lend themselves easily to a description of the available service rate, the performance analysis of wireless networks has resorted to higher-layer abstractions, e.g., using Markov chain models. In this paper, we propose a network calculus that can incorporate common statistical models of fading channels and obtain statistical bounds on delay and backlog across multiple nodes. We conduct the analysis in a transfer domain, where the service process at a link is characterized by the instantaneous signal-to-noise ratio at the receiver. We discover that, in the transfer domain, the network model is governed by a dioid algebra, which we refer to as the algebra. Using this algebra, we derive the desired delay and backlog bounds. Using arguments from large deviations theory, we show that the bounds are asymptotically tight. An application of the analysis is demonstrated for a multihop network of Rayleigh fading channels with cross traffic at each hop.
机译:无线网络中跨多跳路径的延迟和积压分析的基本问题是如何考虑无线信道的随机属性。由于在传播环境中用于无线电信号的常规统计模型不能轻易地描述可用服务速率,因此无线网络的性能分析已诉诸于更高的抽象层,例如使用马尔可夫链模型。在本文中,我们提出了一种网络演算,该演算可以合并衰落信道的通用统计模型,并获得跨多个节点的延迟和积压的统计界限。我们在传输域中进行分析,在传输域中,链路的服务过程以接收器的瞬时信噪比为特征。我们发现,在转移域中,网络模型由二叉代数控制,我们称其为代数。使用此代数,我们得出所需的延迟和积压范围。使用大偏差理论的论据,我们证明了边界是渐近严格的。演示了该分析在瑞利衰落信道的多跳网络中的应用,该网络在每一跳都有交叉业务。

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