Performance evaluation of power management for best effort applications in IEEE 802.16 networks

Reduced energy consumption is a crucial aspect of mobile Broadband Wireless Access (BWA) networks, which are expected to be populated by battery-operated devices, like mobile phones and palmtops. For this reason the IEEE 802.16e, which is one of the front-runner competitors in this field, specifies a set of power saving mechanisms to be employed by the Base Station (BS) and Mobile Stations (MSs) to reduce the amount of time the latter spend with the wireless interface on. These mechanisms are classified into three class types, which are designed for different types of applications. In this paper we focus on class type I, which fits the typical requirements of best-effort traffic. With class type I, an MS with power saving enabled alternates between sleep and listening periods. The duration of the sleep periods increases by a factor 2 each time listening period ends, up to a maximum sleep window size. Since the standard does not provide guidelines for setting the above parameters, which are negotiated between the BS and MSs when setting up a power saving class, we evaluate via simulation their impact on the performance, in terms of both application-specific metric, i.e. delay or throughput depending on the type of traffic, and the amount of energy saved.

[1]  Minho Kang,et al.  Performance Evaluation of the Sleep Mode Operation in the EEE 802.16e MAC , 2007, The 9th International Conference on Advanced Communication Technology.

[2]  Sujata Banerjee,et al.  Quality of service support in ieee 802.11 wireless lan , 2005 .

[3]  J. van Loon.  Network , 2006 .

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

[5]  Azer Bestavros,et al.  Self-similarity in World Wide Web traffic: evidence and possible causes , 1997, TNET.

[6]  Ieee Microwave Theory,et al.  Part 16: Air Interface for Fixed and Mobile Broadband Wireless Access Systems — Amendment for Physical and Medium Access Control Layers for Combined Fixed and Mobile Operation in Licensed Bands , 2003 .

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

[8]  Mark Crovella,et al.  Self - similarity in World Wide Web: Evidence and possible causes , 1997 .

[9]  Sunghyun Choi,et al.  Adaptive Power Saving Strategies for IEEE 802.16e Mobile Broadband Wireless Access , 2006, 2006 Asia-Pacific Conference on Communications.

[10]  Carl Eklund,et al.  Quality of service support in IEEE 802.16 networks , 2006, IEEE Network.

[11]  Giuseppe Anastasi,et al.  A performance study of power-saving polices for Wi-Fi hotspots , 2004, Comput. Networks.

[12]  Robin Kravets,et al.  Power management techniques for mobile communication , 1998, MobiCom '98.

[13]  Averill M. Law,et al.  Simulation Modeling and Analysis , 1982 .

[14]  Giuseppe Anastasi,et al.  Saving Energy in Wi-Fi Hotspots through 802.11 PSM: an Analytical Model , 2004 .

[15]  Claudio Cicconetti,et al.  An integrated framework for enabling effective data collection and statistical analysis with ns-2 , 2006 .