最近已經制訂用於無線都會網路的IEEE802.16標準規格以滿足無線寬頻接取技術的需求。IEEE802.16的媒介存取控制層（MAC layer）有點對多點（PMP）及網狀（Mesh）兩種模式。先前IEEE802.16的焦點集中在點對多點模式上然而在本篇論文裡我們討論網狀模式。在網狀模式裡面，所有端點都被組織成類似ad hoc形式並根據two-hop內鄰居的排程資訊使用模擬隨機方式計算他們控制訊號的傳輸時間。在無線端點中分享共用頻道資源（傳輸機會）是一項網狀網路的重要議題。排程跟指定傳輸機會的方式則分成中控式跟分散式。本論文分析協調式分散網狀網路機制，該機制負責協調控制訊號的傳輸時間。
因為IEEE802.16提供服務品質（QoS）保證且無線多媒體傳輸最近愈來愈受到重視，故VBR影音資料可預期將是一項重要的應用項目。然而因為嚴格的延遲與遺失封包限制導致非常難符合QoS的要求。假如使用固定的頻寬分配，哪麼VBR影音資料量的高變動性很容易網路資源過度給予而造成低使用率或資源給的太少造成排隊太長進一步導致延遲太長及遺失太多。為了要克服這些問題很多學者已經研究各式各樣的動態頻寬分配方式，而一個準確的資料流量預測器更是想達到高網路使用率所必須。

To meet the needs of wireless broadband access, the IEEE 802.16 protocol for wireless metropolitan networks (WMAN) has been recently standardized. The medium access control (MAC) layer of the IEEE 802.16 has point-to-multipoint (PMP) mode and mesh mode. Previous works on the IEEE 802.16 have primarily focused on the PMP mode, however, we introduce on mesh mode in this paper. In the mesh mode, all nodes are organized in an ad hoc fashion and use a pseudo-random function to calculate their control signaling transmission time based on the scheduling information of the two-hop neighbors. To share common channel resources (transmission opportunities) among wireless nodes is one key issue of mesh networking. The scheduling and assignment of transmission opportunities can be realized in centralized or distributed manner. This paper analyses the coordinated distributed scheduling mechanism which is responsible for transmission timing of signaling messages.
Because the IEEE 802.16 support the quality of service (QoS) guarantees and wireless multimedia transmissions are getting more and more attentions recently, variable bit rate (VBR) video traffic is expected to be one of the major applications. However it is difficult to meet the QoS due to the strict delay and loss requirements. If use fixed bandwidth allocation, the heavy tail distribution and the high burstiness of the VBR video traffic produces an over-allocation of network resources and low utilization or large queues leaded to large delay and loss. To get over the foregoing problem, many researchers used various dynamic bandwidth allocation methods and an accuracy traffic predictor is necessary to achieve high network utilization.

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