  We treat a setting in which two priority wireless service classes are offered
in a given area by a drone small cell (DSC). Specifically, we consider
broadband (BB) user with high priority and reliability requirements that
coexists with random access machine-type-communications (MTC) devices. The
drone serves both connectivity types with a combination of orthogonal slicing
of the wireless resources and dynamic horizontal opportunistic positioning
(D-HOP). We treat the D-HOP as a computational geometry function over
stochastic BB user locations which requires careful adjustment in the
deployment parameters to ensure MTC service at all times. Using an information
theoretic approach, we optimize DSC deployment properties and radio resource
allocation for the purpose of maximizing the average rate of BB users. While
respecting the strict dual service requirements we analyze how system
performance is affected by stochastic user positioning and density, topology,
and reliability constraints combinations. The numerical results show that this
approach outperforms static DSCs that fit the same coverage constraints, with
outstanding performance in the urban setting.
