  Massive ultra-reliable and low latency communications (mURLLC) has emerged to
support wireless time/error-sensitive services, which has attracted significant
research attention while imposing several unprecedented challenges not
encountered before. By leveraging the significant improvements in
space-aerial-terrestrial resources for comprehensive 3D coverage,
satellite-terrestrial integrated networks have been proposed to achieve
rigorous and diverse quality-of-services (QoS) constraints of mURLLC. To
effectively measure data freshness in satellite communications, recently, age
of information (AoI) has surfaced as a novel QoS criterion for ensuring
time-critical applications. Nevertheless, because of the complicated and
dynamic nature of network environments, how to efficiently model
multi-dimensional statistical QoS provisioning while upper-bounding peak AoI,
delay, and error-rate for diverse network segments is still largely open. To
address these issues, in this paper we propose statistical QoS provisioning
schemes over satellite-terrestrial integrated networks in the finite
blocklength regime. In particular, first we establish a satellite-terrestrial
integrated wireless network architecture model and an AoI metric model. Second,
we derive a series of fundamental statistical QoS metrics including peak-AoI
bounded QoS exponent, delay-bounded QoS exponent, and error-rate bounded QoS
exponent. Finally, we conduct a set of simulations to validate and evaluate our
proposed statistical QoS provisioning schemes over satellite-terrestrial
integrated networks.
