A cross-layer approach to clustering and relay assignment based on Vehicle Routing Problem

Amir Minayi Jalil, V. Meghdadi, J. Cances
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引用次数: 1

Abstract

This paper deals with the problem of relay assignment in cooperative networks. We consider a network which consists of N nodes and a single destination. Each node is a potential relay to help other nodes to communicate with the destination. The problem is how to assign some nodes (as relays) to some nodes (as sources) in order to optimize a convenient objective function in the network. To find the optimized topology, we need to feedback the SNR information to a centralized resource allocator. Throughout this paper, we introduce a Vehicle Routing Problem (VRP) formulation for the problem at hand which can be efficiently solved with Binary Integer Programming (BIP). The proposed formulation can solve many clustering and relay assignment problems in a unified framework. Two different scenarios are described to show this flexibility. In the first scenario, only one of the nodes in each cooperating set benefits from the cooperation whereas in the other scenario both nodes benefit. The proposed approach combines a simultaneous optimization of physical and network layers with the cooperative diversity concept. Some scenarios and network configurations are described throughout the paper to show the flexibility of the proposed method.
基于车辆路由问题的跨层聚类和中继分配方法
研究了协作网络中的中继分配问题。我们考虑一个由N个节点和一个目的地组成的网络。每个节点都是帮助其他节点与目的地通信的潜在中继。问题是如何将一些节点(作为中继)分配给一些节点(作为源),以优化网络中的目标函数。为了找到优化的拓扑,我们需要将信噪比信息反馈给集中式资源分配器。在本文中,我们引入了一个车辆路径问题(VRP)的公式,该公式可以用二进制整数规划(BIP)有效地求解。该方法可以在一个统一的框架内解决许多聚类和中继分配问题。本文描述了两种不同的场景来展示这种灵活性。在第一个场景中,每个协作集中只有一个节点从协作中受益,而在另一个场景中,两个节点都受益。该方法将物理层和网络层的同时优化与协作分集概念相结合。文中还描述了一些场景和网络配置,以显示所提出方法的灵活性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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