论文标题
5G以上的地面通信：基于Poisson-Delaunay三角测量的协调多点传输
Ground-to-Air Communications Beyond 5G: Coordinated Multi-Point Transmission Based on Poisson-Delaunay Triangulation
论文作者
论文摘要
本文设计了一种新颖的地面通信计划，可通过传统的地面基站（BSS）为无人机（UAV）提供服务。特别是，开发了基于Poisson-Delaunay三角剖分的几何形状的可协调的多点（COMP）传输，从而为无人机提供了可靠且无缝的连接性。有效的动态频率分配方案旨在通过使用圆形填料理论来消除细胞间干扰。为了确切的性能评估，表征了典型无人机的交接概率，然后实现了带有交接的覆盖率。模拟和数值结果证实了所提出的方案在交接和覆盖概率方面，该方案的表现优于传统的COMP方案。此外，由于每个无人机都有固定且唯一的Comp BS集，因此避免了实时动态BS搜索过程，从而减少了反馈开销。
This paper designs a novel ground-to-air communication scheme to serve unmanned aerial vehicles (UAVs) through legacy terrestrial base stations (BSs). In particular, a tractable coordinated multi-point (CoMP) transmission based on the geometry of Poisson-Delaunay triangulation is developed, which provides reliable and seamless connectivity for UAVs. An effective dynamic frequency allocation scheme is designed to eliminate inter-cell interference by using the theory of circle packing. For exact performance evaluation, the handoff probability of a typical UAV is characterized, and then the coverage probability with handoffs is attained. Simulation and numerical results corroborate that the proposed scheme outperforms the conventional CoMP scheme with three nearest cooperating BSs in terms of handoff and coverage probabilities. Moreover, as each UAV has a fixed and unique CoMP BS set, it avoids the real-time dynamic BS searching process, thus reducing the feedback overhead.
