Performance Analysis of Sleep Schemes in IEEE 802.16e Wireless MAN

碩士 === 國立臺灣科技大學 === 電機工程系 === 96 === In recent years, due to the progress in wireless communication technologies and the convenience accompanied, more and more works and amusements are performed via wireless networks. Compared to the currently popular IEEE 802.11 WLAN, IEEE802.16 wireless MAN, also...

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Bibliographic Details
Main Authors: SHIH-YIN HSU, 徐士茵
Other Authors: Shun-Ping Chung
Format: Others
Language:en_US
Published: 2008
Online Access:http://ndltd.ncl.edu.tw/handle/53647069903376886421
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Summary:碩士 === 國立臺灣科技大學 === 電機工程系 === 96 === In recent years, due to the progress in wireless communication technologies and the convenience accompanied, more and more works and amusements are performed via wireless networks. Compared to the currently popular IEEE 802.11 WLAN, IEEE802.16 wireless MAN, also known as Wimax, has the following advantages: up to 50km of transmission distance and up to 70Mbps of data rate. To support mobility, IEEE 802.16 has been extended to IEEE802.16e. Since the power of a mobile subscriber station (MSS) is supplied by battery, how to extend the battery’s lifetime becomes a critical issue. In IEEE 802.16e, an MSS can enter the sleep mode operation, i.e., turn off circuits related to packet transmission and reception, to extend the battery’s lifetime. In this thesis, to alleviate the drawback of the sleep scheme defined in IEEE 802.16e, we propose three sleep schemes: linear increase sleep scheme, adaptive initial sleep window based on DL traffic sleep scheme, and hybrid sleep scheme. Both analytical modeling and computer simulation are used to study the considered system. The performance measures of interest include average packet delay, power consumption, percentage of listening interval, and percentage of turn-off time. First, it is indicated that analytical results are in good agreement with simulation results in most cases studied. Second, we compare the proposed sleep schemes with the standard sleep scheme under various traffic scenarios. Last, we also explore the effects of various system parameters on the performance of each of the proposed sleep schemes.