  High data rates, low latencies, and a widespread availability are the key
properties why current cellular network technologies are used for many
different applications. However, the coexistence of different data traffic
types in the same 4G/5G-based public mobile network results in a significant
growth of interfering data traffic competing for transmission. Particularly in
the context of time-critical and highly dynamic Cyber Physical Systems (CPS)
and Vehicle-to-Everything (V2X) applications, the compliance with deadlines and
therefore the efficient allocation of scarce mobile radio resources is of high
importance. Hence, scheduling solutions are required offering a good trade-off
between the compliance with deadlines and a spectrum-efficient allocation of
resources in mobile networks. In this paper, we present the results of an
experimental validation of the Payload-size and Deadline-aware (PayDA)
scheduling algorithm using a Software-Defined Radio (SDR)-based eNodeB. The
results of the experimental validation prove the high efficiency of the
proposed PayDA scheduling algorithm for time-critical applications in both
miscellaneous and homogeneous data traffic scenarios.
