Interference Management in UAV-Assisted Integrated Access and Backhaul Cellular Networks
Interference Management in UAV-Assisted Integrated Access and Backhaul Cellular Networks
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DOI：
10.1109/access.2019.2927176
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发表时间：
2019-07
期刊：
影响因子：
3.9
通讯作者：
A. Fouda;A. Ibrahim;Ismail Güvenç;M. Ghosh
中科院分区：
文献类型：
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作者：
A. Fouda;A. Ibrahim;Ismail Güvenç;M. Ghosh
集成接入和回程（IAB）网络架构可以实现下一代蜂窝网络的灵活和快速部署。然而，接入和回程链路之间的相互干扰、小的站点间距离以及用户分布的空间动态性在IAB网络的实际部署中提出了主要挑战。为了解决这些问题，我们利用无人机（UAV）作为悬停IAB节点的飞行能力，并提出了一种干扰管理算法，以最大限度地提高IAB网络的总速率。特别是，我们共同优化用户和基站的关联，接入和回程传输的下行链路功率分配，以及无人机的空间配置。我们考虑两种空间配置模式的无人机，分布式无人机和无人机天线阵列（DAA），并显示它们是如何交织在一起的空间分布的地面用户。我们的数值结果表明，该算法实现了2.9\times $和6.7\times $增益的接收下行链路信号干扰噪声比（SINR）和整体网络的和速率，分别。最后，数值结果表明，无人机不仅可以用于覆盖改善，但也用于容量提升IAB蜂窝网络。
An integrated access and backhaul (IAB) network architecture can enable flexible and fast deployment of the next-generation cellular networks. However, mutual interference between access and backhaul links, small inter-site distance, and spatial dynamics of user distribution pose major challenges in the practical deployment of the IAB networks. To tackle these problems, we leverage the flying capabilities of unmanned aerial vehicles (UAVs) as hovering IAB-nodes and propose an interference management algorithm to maximize the overall sum rate of the IAB network. In particular, we jointly optimize the user and base station associations, the downlink power allocations for access and backhaul transmissions, and the spatial configurations of the UAVs. We consider two spatial configuration modes of the UAVs, distributed UAVs and drone antenna array (DAA), and show how they are intertwined with the spatial distribution of ground users. Our numerical results show that the proposed algorithm achieves an average of $2.9\times $ and $6.7\times $ gains in the received downlink signal-to-interference-plus-noise ratio (SINR) and overall network sum rate, respectively. Finally, the numerical results reveal that UAVs can not only be used for coverage improvement but also for capacity boosting in the IAB cellular networks.