  In this paper, we propose a new approach of network performance analysis,
which is based on our previous works on the deterministic network analysis
using the Gaussian approximation (DNA-GA). First, we extend our previous works
to a signal-to-interference ratio (SIR) analysis, which makes our DNA-GA
analysis a formal microscopic analysis tool. Second, we show two approaches for
upgrading the DNA-GA analysis to a macroscopic analysis tool. Finally, we
perform a comparison between the proposed DNA-GA analysis and the existing
macroscopic analysis based on stochastic geometry. Our results show that the
DNA-GA analysis possesses a few special features: (i) shadow fading is
naturally considered in the DNAGA analysis; (ii) the DNA-GA analysis can handle
non-uniform user distributions and any type of multi-path fading; (iii) the
shape and/or the size of cell coverage areas in the DNA-GA analysis can be made
arbitrary for the treatment of hotspot network scenarios. Thus, DNA-GA analysis
is very useful for the network performance analysis of the 5th generation (5G)
systems with general cell deployment and user distribution, both on a
microscopic level and on a macroscopic level.
