论文标题

密集的无线区域中的空间再利用:通过ADMM的跨层优化方法

Spatial Reuse in Dense Wireless Areas: A Cross-layer Optimization Approach via ADMM

论文作者

Tabrizi, Haleh, Peleato, Borja, Farhadi, Golnaz, Cioffi, John M., Aldabbagh, Ghadah

论文摘要

本文在密集的无线区域中介绍了一种有效的通信资源使用方法,所有节点必须与通用目的地节点进行通信。提出的方法基于其\ newt {距目标距离}的节点组,并创建一个结构化的多跳配置,其中每个组都可以中继其邻居的数据。 \ newt {大量的活动无线电节点和通信向单个目的地的通信方向被利用以重复使用空间分离的组中的有限频谱资源}。然后将组之间的频谱分配约束嵌入到联合路由和资源分配框架中,以优化分配给每个节点的资源和资源量。 \ newt {解决此问题的解决方案使用无线网络协议堆栈的低层之间的协调,以优于将这些层解耦的常规方法。此外,基于乘数的交替方向方法(ADMM),每个节点可以基于本地通道信息独立优化其资源,从而利用此问题的结构来获得半分布的优化算法。

This paper introduces an efficient method for communication resource use in dense wireless areas where all nodes must communicate with a common destination node. The proposed method groups nodes based on their \newt{distance from the destination} and creates a structured multi-hop configuration in which each group can relay its neighbor's data. \newt{The large number of active radio nodes and the common direction of communication toward a single destination are exploited to reuse the limited spectrum resources in spatially separated groups}. Spectrum allocation constraints among groups are then embedded in a joint routing and resource allocation framework to optimize the route and amount of resources allocated to each node. \newt{The solution to this problem uses coordination among the lower-layers of the wireless-network protocol stack to outperform conventional approaches where these layers are decoupled. Furthermore, the structure of this problem is exploited to obtain} a semi-distributed optimization algorithm based on the alternating direction method of multipliers (ADMM) where each node can optimize its resources independently based on local channel information.

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