Traffic-Aware Adaptive Discontinuous Receiving Scheme for Power Saving in Cellular Networks

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In the cellular networks, a new adaptive Discontinuous Receiving (DRX) scheme is proposed to improve the power saving. In the traditional DRX, the channel monitoring period is fixed, it will waste some energy to monitor channel when there is no data in a long period of time. In this paper, the support vector machine (SVM) is used for traffic prediction, which can predict the data packets arrival time. Then based on this prediction, the monitoring cycle of the DRX is adaptive with the traffic flow. According to prediction result, the sleep period of the receiver will be extended to avoid unnecessary waking up during the idle time. This traffic-aware DRX scheme can reduce consumed power for channel monitoring. The reduction of monitoring channel depends on the prediction accuracy, which has been verified by the simulation results. The simulation results also show that the proposed scheme is effective for power saving.

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934-940

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November 2012

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] Mihov, Y.Y., Kassev, K.M. & Tsankov, B.P. Analysis and performance evaluation of the DRX mechanism for power saving in LTE. In Electrical and Electronics Engineers in Israel (IEEEI) 2010. Conference Publications. (2010) 520-524.

DOI: 10.1109/eeei.2010.5662164

Google Scholar

[2] Huang Bo, Tian Hui, Chen Lan & Zhu Jianchi. DRX-Aware Scheduling Method for Delay-Sensitive Traffic. IEEE Communications Letters, Vol. 14, Issue 12, (2010) 1113-1115.

DOI: 10.1109/lcomm.2010.101810.100809

Google Scholar

[3] Lei Zhou, Haibo Xu & Lei Du (2008). Performance Analysis of Power Saving Mechanism with Adjustable DRX Cycles in 3GPP LTE. In VTC 2008-Fall, 21-24 Sept. 2008 (pp.1-5).

DOI: 10.1109/vetecf.2008.312

Google Scholar

[4] Polignano, M. (2011). Power Savings and QoS Impact for VoIP Application with DRX/DTX Feature in LTE. VTC Spring, 15-18 May 2011, pp.1-5.

DOI: 10.1109/vetecs.2011.5956309

Google Scholar

[5] Chu-Hsing Lin, Jung-Chun Liu & Chia-Han Ho (2008). Anomaly Detection Using LibSVM Training Tools. In Information Security and Assurance, 2008. Conference Publications. 24-26 Apr. 2008, pp.166-171.

DOI: 10.1109/isa.2008.12

Google Scholar

[6] Jianhong Xie. Kernel optimization of LS-SVM based on damage detection for smart structures. In Computer Science and Information Technology, 2009. Conference Publications. 8-11 Aug. 2009 (pp.406-409). Jiangxi Univ. of Finance & Econ.

DOI: 10.1109/iccsit.2009.5234791

Google Scholar

[7] Li Zhengxin & Zhao Lindu. Time Series Prediction based on LS—SVM within the Bayesian Framework. System Engineering Theory and Practice, Vol. 5, (2007) 142-146.

Google Scholar

[8] 3GPP2 C. R1002-0 (2004). CDMA2000 Evaluation Methodology. (2004), pp.50-85.

Google Scholar