Smart Strategy for Configuring Parameters of Power Saving Classes in IEEE 802.16 Mobile Wireless Metropolitan Area Networks

• Main Authors: Shao-jung Lu, 呂紹榮
• Other Authors: 許獻聰
• Format: Others
• Language: en_US
• Published: 2007
• Online Access: http://ndltd.ncl.edu.tw/handle/87497596938388987543

碩士 === 國立中央大學 === 通訊工程研究所 === 95 === Recently, mobile communication technologies have been developed rapidly. The IEEE 802.16e wireless metropolitan area network (WMAN) standard is an emerging technology to support roaming mobility of mobile stations (MSs) in outdoor environment. For MSs powered by batteries, the standard supports power saving mode to conserve battery power meanwhile fulfilling the requirements of quality of services. Regarding to different service types, standard defines three different power saving types for them and each type has its own power saving parameters. By setting appropriate parameters, single type of power saving will work well for extending the battery life. However, if the number of established connections of MS is more than one and the number of associated power saving type is more than one, the sleeping behavior is not following the setting parameters because that the MS will enter sleep mode only when all of connections decide to enter sleep at a same time. In other words, for a time frame, if there is any one connection is in listening mode, the MS shall not turn down the wireless transceiver. Therefore, such multi-connection case may degrade power saving efficiency. In this dissertation, we propose a smart strategy for base station (BS) to configure the parameters of power saving classes for MSs with multiple connections. At first, we explain and discuss the features of IEEE 802.16e sleep modes and then propose a smart strategy for merging parameters of different power saving classes in order to extend the battery life. Performance of proposed strategy is evaluated by simulations and simulation results illustrate that the proposed strategy with single parameter set outperforms the standard strategy with multiple parameter sets.