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A Greedy Link Scheduler for Wireless Networks With Gaussian Multiple-Access and Broadcast Channels

机译:具有高斯多路访问和广播信道的无线网络的贪婪链路调度程序

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摘要

Information-theoretic broadcast channels (BCs) and multiple-access channels (MACs) enable a single node to transmit data simultaneously to multiple nodes, and multiple nodes to transmit data simultaneously to a single node, respectively. In this paper, we address the problem of link scheduling in multihop wireless networks containing nodes with BC and MAC capabilities. We first propose an interference model that extends protocol interference models, originally designed for point-to-point channels, to include the possibility of BCs and MACs. Due to the high complexity of optimal link schedulers, we introduce the Multiuser Greedy Maximum Weight algorithm for link scheduling in multihop wireless networks containing BCs and MACs. Given a network graph, we develop new local pooling conditions and show that the performance of our algorithm can be fully characterized using the associated parameter, the multiuser local pooling factor. We provide examples of some network graphs, on which we apply local pooling conditions and derive the multiuser local pooling factor. We prove optimality of our algorithm in tree networks and show that the exploitation of BCs and MACs improve the throughput performance considerably in multihop wireless networks.
机译:信息理论广播信道(BCs)和多路访问信道(MACs)使单个节点可以同时将数据传输到多个节点,而多个节点可以同时将数据传输到单个节点。在本文中,我们解决了包含具有BC和MAC功能的节点的多跳无线网络中的链路调度问题。我们首先提出一种干扰模型,该模型扩展了最初为点对点信道设计的协议干扰模型,以包括BC和MAC的可能性。由于最佳链路调度程序的复杂性,我们引入了多用户贪婪最大权重算法,用于包含BC和MAC的多跳无线网络中的链路调度。给定一个网络图,我们开发了新的本地池化条件,并表明可以使用关联参数多用户本地池化因子充分表征算法的性能。我们提供了一些网络图的示例,在这些图上我们应用了本地池化条件并得出多用户本地池化因子。我们证明了算法在树状网络中的最优性,并表明对BC和MAC的利用大大提高了多跳无线网络的吞吐量性能。

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