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首页> 外文期刊>IEEE Transactions on Parallel and Distributed Systems >Link Scheduling for Exploiting Spatial Reuse in Multihop MIMO Networks
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Link Scheduling for Exploiting Spatial Reuse in Multihop MIMO Networks

机译：在多跳MIMO网络中利用空间复用的链路调度

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摘要

Multiple-Input-Multiple-Output (MIMO) has great potential for enhancing the throughput of multihop wireless networks via spatial multiplexing or spatial reuse. Spatial reuse with Stream Control (SC) provides a considerable improvement of the network throughput over spatial multiplexing. The gain of spatial reuse, however, is still not fully exploited. There exist large numbers of additional data streams, which could be transmitted concurrently with those data streams scheduled by stream control at certain time slots and vicinities. In this paper, we address the issue of MIMO link scheduling to maximize the gain of spatial reuse and thus network throughput. We propose a Receiver-Oriented Interference Suppression model (ROIS), based on which we design both centralized and distributed link scheduling algorithms to fully exploit the gain of spatial reuse in multihop MIMO networks. Further, we address the traffic-aware link scheduling problem by injecting nonuniform traffic load into the network. Through theoretical analysis and comprehensive performance evaluation, we achieve the following results: 1) link scheduling based on ROIS achieves significant higher network throughput than that based on stream control, with any interference range, number of antennas, and average hop length of data flows. 2) The traffic-aware scheduling is enticingly complementary to the link scheduling based on ROIS model. Accordingly, the two scheduling schemes can be combined to further enhance the network throughput.
机译：多输入多输出（MIMO）具有通过空间复用或空间复用提高多跳无线网络吞吐量的巨大潜力。通过流控制（SC）进行空间重用，与空间复用相比，可大大提高网络吞吐量。但是，空间重用的收益仍未得到充分利用。存在大量额外的数据流，这些数据流可以与在某些时隙和附近由流控制调度的那些数据流同时传输。在本文中，我们解决了MIMO链路调度的问题，以最大程度地提高空间重用的增益，从而最大化网络吞吐量。我们提出了一种面向接收机的干扰抑制模型（ROIS），在此模型的基础上，我们设计了集中式和分布式链路调度算法，以充分利用多跳MIMO网络中空间复用的收益。此外，我们通过向网络中注入不均匀的流量负载来解决流量感知链路调度问题。通过理论分析和综合性能评估，我们得出以下结果：1）在任何干扰范围，天线数量和数据流平均跳变长度的基础上，基于ROIS的链路调度均比基于流控制的链路调度具有更高的网络吞吐量。 2）流量感知调度是对基于ROIS模型的链路调度的诱人补充。因此，两种调度方案可以组合以进一步提高网络吞吐量。

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