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Erschienen in: The Journal of Supercomputing 5/2020

25.10.2018

Analysis of energy consumption and latency in advanced wireless networks through DRX mechanism

verfasst von: B. Arunsundar, P. Sakthivel, E. Natarajan

Erschienen in: The Journal of Supercomputing | Ausgabe 5/2020

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Abstract

Ever-increasing need for high data rate and wide penetration of subscriber base are the need for the constant evolution of transmission of mobile traffic data. The global mobile-manufacturing industry is growing rapidly. Energy consumption by wireless communication systems is a vital concern in the present world, not merely to reduce energy consumption but also to mitigate environmental degradation due to effluence caused by extreme energy consumption. While Long Term Evolution-Advanced (LTE-A) method is a standardized fourth-generation portable communication tool for the compelling demands for rapid wireless communication, the extreme energy consumption during the high-speed processing signal on LTE-A user equipment (UE) is a key concern to be addressed for its effective implementation. The discontinuous reception (DRX) based on two contradicting parameters, namely energy consumption and latency, can be optimized for the efficient utilization of UE with optimal energy consumption. Stochastic-based Markov model has been selected to model the randomly changing communication process. The present study analyses the influence of arrival rate, short cycle, long cycle and timer value of short cycle on energy consumption. The present analysis is also focused to build up a systematic model to estimate latency and energy-saving utilized by DRX method for active mobile data traffic. The results indicate that short cycle period of DRX is very effective in reducing latency for active data traffic, and optimal selection of values for various operating parameters can maintain low latency in addition to considerable energy-saving.

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Metadaten
Titel
Analysis of energy consumption and latency in advanced wireless networks through DRX mechanism
verfasst von
B. Arunsundar
P. Sakthivel
E. Natarajan
Publikationsdatum
25.10.2018
Verlag
Springer US
Erschienen in
The Journal of Supercomputing / Ausgabe 5/2020
Print ISSN: 0920-8542
Elektronische ISSN: 1573-0484
DOI
https://doi.org/10.1007/s11227-018-2659-0

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