TY - JOUR
T1 - Modeling and Optimizing the LTE Discontinuous Reception Mechanism Under Self-Similar Traffic
AU - Wang, Ke
AU - Li, Xi
AU - Ji, Hong
AU - Du, Xiaojiang
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/7
Y1 - 2016/7
N2 - The discontinuous reception (DRX) mechanism is adopted in Long-Term Evolution (LTE) systems as a core technology to prolong the battery lifetime of user equipment (UE). With the development of mobile Internet, there is an increasingly urgent need to optimize the DRX performance to accommodate the emerging applications. In this paper, to describe the self-similarity exhibited by the applications, a truncated-Pareto-distributed arrival traffic model is introduced into the LTE-DRX modeling framework. With this premise, a DRX analytical model based on a discrete-time semi-Markov process (DTSMP) is established. Using the proposed model, the performance of DRX operations under certain configurations can be evaluated precisely. To deploy it in practical use, we have designed an online power-saving strategy (OPSS) to improve the energy efficiency of the UE. The OPSS is conducted in two phases: estimation and optimization. In the first phase, several derived statistical estimators are deployed to capture the fluctuations of the traffic conditions and DRX operations. It is proved that these estimators could unbiasedly estimate the statistics within just 1 s. In the second phase, the DRX configuration is optimized by considering the trade off between the packet delay and the power-saving performance. Solid simulations are conducted to verify the accuracy of the DRX analytical model and to evaluate the efficiency of the OPSS. The well-matched results demonstrate that the analytical model is correctly derived. Moreover, we have proved that the proposed OPSS could outperform the conventional LTE DRX mechanism in terms of both energy conservation and packet delay.
AB - The discontinuous reception (DRX) mechanism is adopted in Long-Term Evolution (LTE) systems as a core technology to prolong the battery lifetime of user equipment (UE). With the development of mobile Internet, there is an increasingly urgent need to optimize the DRX performance to accommodate the emerging applications. In this paper, to describe the self-similarity exhibited by the applications, a truncated-Pareto-distributed arrival traffic model is introduced into the LTE-DRX modeling framework. With this premise, a DRX analytical model based on a discrete-time semi-Markov process (DTSMP) is established. Using the proposed model, the performance of DRX operations under certain configurations can be evaluated precisely. To deploy it in practical use, we have designed an online power-saving strategy (OPSS) to improve the energy efficiency of the UE. The OPSS is conducted in two phases: estimation and optimization. In the first phase, several derived statistical estimators are deployed to capture the fluctuations of the traffic conditions and DRX operations. It is proved that these estimators could unbiasedly estimate the statistics within just 1 s. In the second phase, the DRX configuration is optimized by considering the trade off between the packet delay and the power-saving performance. Solid simulations are conducted to verify the accuracy of the DRX analytical model and to evaluate the efficiency of the OPSS. The well-matched results demonstrate that the analytical model is correctly derived. Moreover, we have proved that the proposed OPSS could outperform the conventional LTE DRX mechanism in terms of both energy conservation and packet delay.
KW - Discontinuous reception (DRX)
KW - Long-Term Evolution (LTE)
KW - discrete-time semi-Markov process (DTSMP)
KW - multimedia
KW - power saving
KW - self-similar traffic
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U2 - 10.1109/TVT.2014.2328232
DO - 10.1109/TVT.2014.2328232
M3 - Article
AN - SCOPUS:84979223385
SN - 0018-9545
VL - 65
SP - 5595
EP - 5610
JO - IEEE Transactions on Vehicular Technology
JF - IEEE Transactions on Vehicular Technology
IS - 7
M1 - 6824851
ER -