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Adaptive Transmission Control in Multiple Interference Neutralization Groups

机译:多干扰中和组中的自适应传输控制

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In wireless multihop networks, interference neutralization (IN) is a promising approach for interference management. IN enables multiple source–destination pairs to simultaneously transmit data without interference. However, in cases involving multiple IN groups, transmission between IN groups should be carefully managed to achieve an IN gain; otherwise, IN counteracts the capacity gain and degrades the quality of the network. In this study, we propose a greedy maximal transmission control scheme, based on the Gaussian modeling for unknown interference and approximate achievable rate, that has polynomial-time complexity and provides near-optimal network throughput for multiple IN groups.
机译:在无线多跳网络中,干扰中和(IN)是一种有前途的干扰管理方法。 IN使多个源-目的地对能够同时传输数据而不会产生干扰。但是,在涉及多个IN组的情况下,应谨慎管理IN组之间的传输以实现IN增益。否则,IN会抵消容量增加并降低网络质量。在这项研究中,我们提出了一种基于高斯模型的贪婪最大传输控制方案,该方案针对未知干扰和近似可实现速率,具有多项式时间复杂度,并为多个IN组提供接近最佳的网络吞吐量。

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