  System level simulations of large 5G networks are essential to evaluate and
design algorithms related to network issues such as scheduling, mobility
management, interference management, and cell planning. In this paper, we look
back to the idea of spatial indexing and its advantages, applications, and
future potentials in accelerating large 5G network simulations. We introduce a
multi-level inheritance based architecture which is used to index all elements
of a heterogeneous network (HetNet) on a single geometry tree. Then, we define
spatial queries to accelerate searches in distance, azimuth, and elevation. We
demonstrate that spatial indexing can accelerate location-based searches by 3
orders of magnitude. Further, the proposed design is implemented as an open
source platform freely available to all.
