UAV-Based In-Band Integrated Access and Backhaul for 5G Communications
UAV-Based In-Band Integrated Access and Backhaul for 5G Communications
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DOI：
10.1109/vtcfall.2018.8690860
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发表时间：
2018-07
期刊：
影响因子：
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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
我们介绍了将无人机(UAV)用作5G网络带内综合接入和回程(IB-IAB)场景的无人机基站的概念。我们首先提出了IB-IAB多层无人机蜂窝网络中前向链路传输的系统模型。然后，我们研究了这一场景的关键挑战，并提出了一个框架，该框架利用无人机的飞行能力作为主要自由度，为回程链路、用户-基站关联、无人机3D悬停位置和功率分配寻找最优的预编码器设计。我们讨论了如何利用所提出的算法在大尺度和小尺度上优化网络性能。最后，我们使用一个基于搜索的穷举解决方案来演示所提出的算法在接收信干噪比(SINR)和整个网络总和速率方面可以获得的性能提升。
We introduce the concept of using unmanned aerial vehicles (UAVs) as drone base stations for in-band Integrated Access and Backhaul (IB-IAB) scenarios for 5G networks. We first present a system model for forward link transmissions in an IB-IAB multi- tier drone cellular network. We then investigate the key challenges of this scenario and propose a framework that utilizes the flying capabilities of the UAVs as the main degree of freedom to find the optimal precoder design for the backhaul links, user-base station association, UAV 3D hovering locations, and power allocations. We discuss how the proposed algorithm can be utilized to optimize the network performance in both large and small scales. Finally, we use an exhaustive search-based solution to demonstrate the performance gains that can be achieved from the presented algorithm in terms of the received signal to interference plus noise ratio (SINR) and overall network sum-rate.