Joint Design of Fronthaul and Access Links in Massive MIMO Multi-UAV-Enabled CRANs
Joint Design of Fronthaul and Access Links in Massive MIMO Multi-UAV-Enabled CRANs
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DOI：
10.1109/lwc.2021.3100320
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发表时间：
2021-11-01
影响因子：
6.3
通讯作者：
Ikhlef, Aissa
中科院分区：
文献类型：
--
作者：
Huang, Yingjia;Ikhlef, Aissa
该文提出了一种新的支持多无人机的云无线接入网架构。特别是，我们建议部署无人机作为飞行远程无线电头（RRH），以服务于地面用户设备（UE）。基带单元（BBU）配备了一个大规模的天线阵列，以服务于飞行的RRH，并提供所有的基带信号处理。为了优化所提出的架构，我们考虑通过联合优化无人机的位置，量化噪声方差和功率控制的UE的最小速率的最大化。相应的优化问题是非凸的，我们设计了一个有效的迭代算法，结合块坐标下降和连续凸优化方法来解决它。数值结果表明，与两个基准方案相比，所提出的算法具有优越的上级性能。
This letter proposes a novel architecture of multi-unmanned aerial vehicle (UAV)-enabled cloud radio access network (CRAN). In particular, we propose to deploy the UAVs as flying remote radio heads (RRHs) to serve ground user equipments (UEs). The baseband unit (BBU) is equipped with a large-scale antenna array to serve the flying RRHs and affords all the baseband signal processing. To optimize the proposed architecture, we consider the maximization of the minimum rate of UEs by jointly optimizing UAVs placement, quantization noise variance, and power control. The corresponding optimization problem is not convex and to solve it we devise an efficient iterative algorithm combining the block coordinate descent and successive convex optimization methods. Numerical results demonstrate the superior performance of the proposed algorithm compared to two benchmark schemes.