Delay versus energy consumption of the IEEE 802.16e sleep-mode mechanism

We propose a discrete-time queueing model for the evaluation of the IEEE 802.16e sleep-mode mechanism of power saving class (PSC) I in wireless access networks. Contrary to previous studies, we model the downlink traffic by means of a discrete batch Markov arrival process (D-BMAP) with N phases, which allows to take traffic correlation into account. The tradeoff between energy saving and increased packet delay is discussed. In many situations, the sleep-mode performance improves for heavily correlated traffic. Also, when compared to other strategies, the exponential sleep-period update strategy of PSC I may not always be the best.

[1]  Moshe Sidi,et al.  Linear independence of root equations forM/G/1 type Markov chains , 1995, Queueing Syst. Theory Appl..

[2]  Bo Friis Nielsen,et al.  A Markovian approach for modeling packet traffic with long-range dependence , 1998, IEEE J. Sel. Areas Commun..

[3]  Hyong-Woo Lee,et al.  Performance analysis of sleep mode operation in IEEE 802.16e , 2004, IEEE 60th Vehicular Technology Conference, 2004. VTC2004-Fall. 2004.

[4]  H. R. Gail,et al.  Spectral analysis of M/G/1 and G/M/1 type Markov chains , 1996, Advances in Applied Probability.

[5]  Dieter Fiems,et al.  Performance analysis of the IEEE 802.16e sleep mode for correlated downlink traffic , 2008, Telecommun. Syst..

[6]  Lars K. Rasmussen,et al.  Linear interference cancellation in CDMA based on iterative techniques for linear equation systems , 2000, IEEE Trans. Commun..

[7]  Yan Zhang,et al.  Energy management in the IEEE 802.16e MAC , 2006, IEEE Communications Letters.

[8]  C. R. Baugh,et al.  Traffic Model for 802.16 TG3 MAC/PHY Simulations , 2001 .

[9]  Chris Blondia,et al.  Statistical Multiplexing of VBR Sources: A Matrix-Analytic Approach , 1992, Perform. Evaluation.

[10]  Dieter Fiems,et al.  A note on the discretization of Little's result , 2002, Oper. Res. Lett..

[11]  Herwig Bruneel,et al.  Discrete-time queues with correlated arrivals and constant service times , 1999, Comput. Oper. Res..

[12]  Dieter Fiems,et al.  Markovian Characterisation of H.264/SVC Scalable Video , 2008, ASMTA.

[13]  Sunghyun Choi,et al.  Performance Analysis of Sleep Mode Operation in IEEE 802.16e Mobile Broadband Wireless Access Systems , 2006, 2006 IEEE 63rd Vehicular Technology Conference.

[14]  Gang Uk Hwang,et al.  Performance Modelling and Analysis of the Sleep-Mode in IEEE802.16e WMAN , 2007, 2007 IEEE 65th Vehicular Technology Conference - VTC2007-Spring.

[15]  Norman C. Beaulieu,et al.  On first-order Markov modeling for the Rayleigh fading channel , 2000, IEEE Trans. Commun..

[16]  Yang Xiao.  Energy saving mechanism in the IEEE 802.16e wireless MAN , 2005, IEEE Communications Letters.

[17]  Jung-Ryun Lee.  Energy Efficient Sleep Interval Decision Method Considering Delay Constraint for VoIP Traffic , 2006, NEW2AN.

[18]  B. Conolly.  Structured Stochastic Matrices of M/G/1 Type and Their Applications , 1991 .

[19]  Herwig Bruneel,et al.  Performance of discrete-time queueing systems , 1993, Comput. Oper. Res..

[20]  H. Michiel,et al.  Teletraffic engineering in a broad-band era , 1997, Proc. IEEE.

[21]  Sally Floyd,et al.  Wide area traffic: the failure of Poisson modeling , 1995, TNET.

[22]  Yong-Hoon Choi,et al.  Power Saving Mechanisms of IEEE 802.16e: Sleep Mode vs. Idle Mode , 2006, ISPA Workshops.

[23]  Sung-Gi Min,et al.  Performance Comparison of Sleep Mode Operations in IEEE 802.16e Terminals , 2007, International Conference on Computational Science.