Analysis of energy saving in user equipment in LTE-A using stochastic modelling

S. Dharmaraja (), Anisha Aggarwal () and R. Sudhesh ()
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S. Dharmaraja: IIT Delhi
Anisha Aggarwal: IIT Delhi
R. Sudhesh: Anna University

Telecommunication Systems: Modelling, Analysis, Design and Management, 2022, vol. 80, issue 1, No 9, 123-140

Abstract: Abstract Energy saving in User Equipment (UE) is one of the important issues for limited sources of power in the device. It is critical for the UE to maximize its energy efficiency. In this paper, we have presented two stochastic models, namely the Markov model and semi-Markov model, for the UE based on the states of discontinuous reception (DRX) mechanism, i.e., a power saving method in mobile communication networks. Explicit expressions are derived for transient and steady-state system size probabilities for the Markov model. For the semi-Markov model, steady-state probabilities are computed. Further, the performance measures such as mean and variance are computed for both models. Using these models, based on the states of DRX mechanism, energy saving in the UE is calculated. Finally, sensitivity analysis is performed in which the results obtained are compared for both models. Numerical results obtained in this paper ensure that energy saving can be maximized in the UE using the Markov modelling of DRX mechanism rather than semi-Markov modelling. The energy saving using the Markov model is atleast 33.19 $$\%$$ % more than the semi-Markov model. Also, for energy saving in the UE, the semi-Markov model for DRX mechanism is compared with the Markov model. The semi-Markov models for the DRX mechanism are available in the literature without considering the packet arrivals. Our analysis of DRX mechanism and conclusion on its performance can be designed and implemented to an extension for the existing DRX mechanism. We believe that, these models can also be extended to study the energy saving of hardware and other components of the system.

Keywords: Markov model; Semi-Markov model; Working state; Short cycle; Long sleep; DRX; LTE-A (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s11235-022-00890-6

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