论文标题
二阶无线网络优化及其在AOI上的应用理论
A Theory of Second-Order Wireless Network Optimization and Its Application on AoI
论文作者
论文摘要
本文介绍了一个新的理论框架，用于优化无线网络的二阶行为。与仅考虑一阶统计的网络实用程序最大化技术不同，该框架通过其平均值和时间差异对每个随机过程进行建模。包括时间差异的包含使该框架非常适合建模状态褪色的无线通道和新兴网络性能指标，例如信息年龄（AOI）。使用此框架，我们彻底描述了无线访问网络的二阶容量区域。我们还提出了一个简单的调度策略，并证明它可以在二阶容量区域中实现每个内部点。为了证明该框架的实用性，我们将其应用于一个重要的开放问题：在Gilbert-Elliott渠道上优化AOI。我们表明，该框架提供了非常准确的AOI表征。此外，它导致了一项可访问的调度策略，以优于其他现有工作。
This paper introduces a new theoretical framework for optimizing second-order behaviors of wireless networks. Unlike existing techniques for network utility maximization, which only considers first-order statistics, this framework models every random process by its mean and temporal variance. The inclusion of temporal variance makes this framework well-suited for modeling stateful fading wireless channels and emerging network performance metrics such as age-of-information (AoI). Using this framework, we sharply characterize the second-order capacity region of wireless access networks. We also propose a simple scheduling policy and prove that it can achieve every interior point in the second-order capacity region. To demonstrate the utility of this framework, we apply it for an important open problem: the optimization of AoI over Gilbert-Elliott channels. We show that this framework provides a very accurate characterization of AoI. Moreover, it leads to a tractable scheduling policy that outperforms other existing work.
