Performance Evaluation of LTE/LTE-A DRX: A Markovian Approach

Long-term evolution (LTE)/long-term evolution advanced (LTE-A) are emerging communication technologies on the way toward 5G telecommunication systems. Ubiquitous adoption of connectivity in between different kinds of sensors, wearable devices, and other low-power equipment raises an importance of the energy-efficient wireless communications. In LTE/LTE-A, the discontinuous reception mechanism (DRX) aims at power saving of user equipment (UE) devices. In this paper, we present an analysis of DRX, which is novel in two dimensions. First, our analytical approach is different from existing ones due to the use of Markov chain instead of the semi-Markov ones. Secondly, along with the generic traffic models, we also analyze the efficiency of DRX for military training application systems, what has not been done before. We suggest few practical recommendations regarding the DRX parameters tuning also.