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  • 學位論文

IEEE 802.16e 移動寬頻無線存取系統動態交互式省電機制

Power Saving Mechanism of Dynamic Alternately in IEEE 802.16e Mobile Broadband Wireless Access Systems

指導教授 : 張朝陽
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摘要


IEEE 802.16e移動寬頻存取系統(Mobile Broadband Wireless Access Systems)提供新型態的無線行動通訊網路架構,這類型的移動寬頻無線存取設備,電力主要的來源是電池,為了延長這些行動主機的使用時間,必須有效率的使用電池以達到省電的目的。在IEEE 802.16e的規範中已定義一個行動主機睡眠模式的運作方式,來節省行動主機的電力,然而此運作方式在省電的同時亦容易造成行動主機接收封包的延遲。 在本篇論文中,我們在IEEE 802.16e的架構中設計一個動態交互式的省電機制,主要的方法是讓移動設備能夠在適當的時機提出睡眠模式請求,以便有效的降低行動主機在睡眠模式中的聽間隔(Listening Window)次數以達到較佳的省電目的。因此我們提出了兩種演算法:適應性交互式睡眠間隔決定演算法(Adaptive Alternately Sleep Interval Decision Algorithm; AASIDA)以及動態交互式睡眠間隔排程演算法(Dynamic Alternately Sleep Interval Schedule Algorithm; DASISA)。適應性交互式睡眠間隔決定演算法會根據行動主機每次封包的到達率以及封包到達率預測的誤差值,來動態調整睡眠模式的順序及睡眠間隔的大小。而動態交互式睡眠間隔排程演算法會根據行動主機每次封包的到達時間、來計算封包與封包之間相差的時間距離以及此封包屬於何種類別(非即時性資料服務或即時性資料服務),來決定交互式排程的睡眠模式與睡眠間隔。最後將我們提出的兩種演算法與文獻中所提出的演算法做比較,從模擬結果可看出我們提出的適應性交互式睡眠間隔決定演算法在封包延遲方面表現很好及可接受的功率消耗,而動態交互式睡眠間隔排程演算法在功率消耗方面達到良好的省電效率及適當的封包延遲。

並列摘要


The IEEE 802.16e Mobile Broadband Wireless Access Systems provide new infrastructure of wireless mobile communication networks. The major power supply is battery in this type of mobile wireless access devices. In order to extend the using time for these devices, we must use battery efficiently and reach the goal of power saving. A sleep mode operation for the power saving of mobile stations is defined in IEEE 802.16e standard. However, the power saving is easy to result the receiving packet delay for mobile stations. In this paper, we propose a power saving mechanism of dynamic alternately in IEEE 802.16e infrastructure. In the proposed scheme, we design new methods to calculate the sleep mode request for mobile stations in the suitable opportunity. The main goal is that the number of listening window can be reduced efficiently and then reaches the better power saving. We propose an Adaptive Alternately Sleep Interval Decision Algorithm (AASIDA) and a Dynamic Alternately Sleep Interval Schedule Algorithm (DASISA). In AASIDA, the sleep mode in sequence and the size of sleep interval are dynamic adaptive according to the packet arrival rate and the forecast deviation of packet arrival rate value. In DASISA, the sleep interval of alternate schedule is calculated, according to the arrival time of packet, time distance differ between the two packets and the packet types (Non-Real Time Data Service and Real Time Data Service). Finally, we compare our proposed two algorithms with other algorithms in the literature, the simulation results show that the AASIDA outperforms the previously scheme for packet delay and the power consumption can be maintained at an acceptable level. Also, the DASISA achieves the good efficiency of power saving and the suitable packet delay can be carried out.

參考文獻


[1] IEEE 802.16-2004, Part 16: Air Interface for Fixed Broadband Wireless Access Systems, Standard for Local and Metropolitan Area Networks, October 2004.
[2] IEEE 802.16e-2006, IEEE Standard for Local and metropolitan area networks, Part 16: Air Interface for Broadband Wireless Access Systems Amendment for Physical and Medium Access Control Layers for Combined Fixed and Mobile Operation in Licensed Bands, February 2006.
[3] Jaehyuk Jang, Kwanghun Han and Sunghyun Choi, “Adaptive Power Saving Strategies for IEEE 802.16e Mobile Broadband Wireless Access”, in Proc. APCC 2006, Aug. 2006.
[4] Jung-Ryun Lee and Dong-Ho Cho, “Performance evaluation of energy-saving mechanism based on probabilistic sleep interval decision algorithm in IEEE 802.16e”, IEEE Trans. Veh. Tech., vol.56, no.4, pp.1773-1780, 2007/07.
[5] Lei Kong and Danny H.K.Tsang, “Performance Study of Power Saving Classes of Type I and II in IEEE 802.16e,” in Proc. of IEEE Local Computer Networks Conference, Tempa, Florida, pp.20-27, Nov. 14-16, 2006.

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