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Interference-Aware Cooperative Communication in Multi-Radio Multi-Channel Wireless Networks

机译:多无线电多信道无线网络中的干扰感知协作通信

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There are a lot of recent interests on cooperative communication (CC) in wireless networks. Despite the large capacity gain of CC in small wireless networks with its capability of mitigating fading taking advantage of spatial diversity, cooperative communication can result in severe interference in large networks and even degraded throughput. The aim of this work is to concurrently exploit multi-radio and multi-channel (MRMC) technique and cooperative transmission technique to combat co-channel interference and improve the performance of multi-hop wireless network. Our proposed solution concurrently considers cooperative routing, channel assignment, and relay selection and takes advantage of both MRMC technique and spatial diversity in cooperative wireless networks to improve the throughput. We propose two important metrics, contention-aware channel utilization routing metric (CACU) to capture the interference cost from both direct transmission and cooperative transmission, and traffic aware channel condition metric (TACC) to evaluate the channel load condition. Based on these metrics, we propose three algorithms for interference-aware cooperative routing, local channel adjustment, and local path and relay adaptation respectively to ensure high performance communications in dynamic wireless networks. Our algorithms are designed to be fully distributed and can effectively mitigate co-channel interference and achieve cooperative diversity gain. To our best knowledge, this is the first distributed solution that supports cooperative communications in MRMC networks. Our performance studies demonstrate that our proposed algorithms can efficiently support cooperative communications in multi-radio multi-hop networks to significantly increase the aggregate throughput.
机译:无线网络中的协作通信(CC)最近引起了很多兴趣。尽管CC在小型无线网络中具有很大的容量增益,并且具有利用空间分集来减轻衰落的能力,但协作通信仍会在大型网络中造成严重干扰,甚至导致吞吐量下降。这项工作的目的是同时利用多无线电和多信道(MRMC)技术和协作传输技术来对抗同信道干扰并提高多跳无线网络的性能。我们提出的解决方案同时考虑了协作路由,信道分配和中继选择,并利用了MRMC技术和协作无线网络中的空间分集来提高吞吐量。我们提出了两个重要的度量标准,即争用感知信道利用路由度量(CACU)来捕获直接传输和协作传输的干扰成本,以及流量感知信道条件度量(TACC)来评估信道负载条件。基于这些指标,我们提出了三种用于干扰感知的协作路由,本地信道调整以及本地路径和中继自适应的算法,以确保动态无线网络中的高性能通信。我们的算法设计为完全分布式的,可以有效减轻同信道干扰并实现协作分集增益。据我们所知,这是第一个支持MRMC网络中协作通信的分布式解决方案。我们的性能研究表明,我们提出的算法可以有效地支持多无线电多跳网络中的协作通信,从而显着提高总吞吐量。

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