  Compared to former mobile networks, Long Term Evolution (LTE) offers higher
transfer speeds, significantly lower latencies and a widespread availability,
qualifying LTE for a wide range of different applications and services in the
field of conventional Human-to-Human (H2H) as well as fast growing Vehicle-To-X
(V2X) and Cyber Physical Systems (CPS) communications. As a result, a steady
growth of mobile data traffic, which is reflected in an increased interaction
between different traffic classes, can be observed. In order to ensure timely
transmissions of time-critical data in the future, we propose the novel
Payload-Size and Deadline-Aware (PayDA) scheduling approach and compare its
performance regarding the compliance for deadlines with those of other common
packet scheduling mechanisms. The performance analysis is done with the complex
and open-source LTE simulation environment LTE-Sim. The results show that the
average latency can be reduced by the factor of 20 and the mean data rates can
be enhanced by a factor of about 3.5 for a high miscellaneous data traffic. In
the case of a heavy homogeneous and time-critical data traffic the mean
Deadline-Miss-Ratio (DMR) can be decreased by about 35%.
