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High data rates, low latencies, and a widespread availability are the keyproperties why current cellular network technologies are used for manydifferent applications. However, the coexistence of different data traffictypes in the same 4G/5G-based public mobile network results in a significantgrowth of interfering data traffic competing for transmission. Particularly inthe context of time-critical and highly dynamic Cyber Physical Systems (CPS)and Vehicle-to-Everything (V2X) applications, the compliance with deadlines andtherefore the efficient allocation of scarce mobile radio resources is of highimportance. Hence, scheduling solutions are required offering a good trade-offbetween the compliance with deadlines and a spectrum-efficient allocation ofresources in mobile networks. In this paper, we present the results of anexperimental validation of the Payload-size and Deadline-aware (PayDA)scheduling algorithm using a Software-Defined Radio (SDR)-based eNodeB. Theresults of the experimental validation prove the high efficiency of theproposed PayDA scheduling algorithm for time-critical applications in bothmiscellaneous and homogeneous data traffic scenarios.

Payload-size and Deadline-aware Scheduling for Upcoming 5G Networks: Experimental Validation in High-load Scenarios