Cell-Free UAV Networks: Asymptotic Analysis and Deployment Optimization
Cell-Free UAV Networks: Asymptotic Analysis and Deployment Optimization
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DOI：
10.1109/twc.2022.3215941
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发表时间：
2023-05
影响因子：
10.4
通讯作者：
Carles Diaz-Vilor;A. Lozano;H. Jafarkhani
中科院分区：
文献类型：
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作者：
Carles Diaz-Vilor;A. Lozano;H. Jafarkhani
最近，无小区（CF）架构，其中每个用户可以潜在地与每个基站进行通信，已经受到了很多关注。本文考虑了完全和部分集中式CF网络的上行链路，无人机作为飞行基站（FBS）。FBS的子集参与每个用户的接收，并且用户的子集由每个FBS接收。在Rician衰落条件下，推导出了频谱效率的确定性等价表达式，在子集大小上是渐近精确的，在有限维上是近似的。利用这些表达式，FBS部署问题进行了研究，为不同的接收机架构。的非凸部署问题，解决了基于梯度和吉布斯采样算法的组合，结果在一个上级性能相对于一个正方形网格部署，这种优越性扩展到最小和聚合频谱效率为完全和部分集中式无细胞网络。
Recently, cell-free (CF) architectures, in which every user can potentially communicate with every base station, have received a lot of attention. This paper considers the uplink of fully and partially centralized CF networks where unmanned aerial vehicles serve as flying base stations (FBSs). A subset of FBSs participates in the reception of each user and a subset of users is received by each FBS. Deterministic equivalent expressions, exact asymptotically in the subset sizes and approximate for finite dimensions thereof, are derived for the spectral efficiency under Rician fading. Capitalizing on these expressions, the FBS deployment problem is investigated for different receiver architectures. The nonconvex deployment problem, tackled through a combination of gradient-based and Gibbs sampling algorithms, results in a superior performance with respect to a square grid deployment; this superiority extends to the minimum and aggregate spectral efficiency for both fully and partially centralized cell-free networks.