在IEEE 802.16標準規範中定義了五種服務流的類型，而每一種服務流都有專屬的服務品質要求，許多被提出來排程演算法都必須要滿足每一種服務流的服務品質。在傳統基地台主要是根據使用者的需求來分配頻寬額度，實際情況下使用者所提出頻寬要求可能無法完整地獲得頻寬分配量，也就是說基地台正在執行頻寬分配時可能無法滿足使用者本身實際的頻寬要求。當系統負載很重時，可能會造成佇列的延遲時間過大，尤其針對即時性服務流而言會造成嚴重服務品質上的問題，而導致了連線允許控制拒絕任何服務需求，即使是已被同意的連線也無法繼續被排程，本論文會提出一個基於頻寬分配考慮統計到達率之頻寬分配演算法(Bandwidth Allocation Considering The Statistics of Arrival, BAcSOA)來解決這問題。
一開始時，若使用傳統的請求-同意機制，則是無法正確地估測自己頻寬要求的額度，以及基地台無法有效地執行頻寬分配。此時，必須各別統計延伸之即時輪詢服務與即時輪詢服務的到達率之平均值與標準差。而平均值表示測量平均的頻寬要求額度，而標準差則表示測量佇列暫態的頻寬要求額度，因此，對於即時性服務流量而言以 μ+kσ 作為頻寬分配之用，對於即時性服務流所給予較大的k值並獲得更多機會來傳送，獲得較佳的效能。
進一步針對即時性服務類型來討論，本身即時性封包都設有截止時間，當傳送時間超過這個截止時間，則封包會變成無用而將被丟棄，也就是說即時性服務流必須屬於高優先權才能有機會優先排程服務，排程器除了要分配適當的頻寬額度給即時性服務流，必須在即時性封包的截止時間到期之前就要將封包傳送出去。所以決定一個適當的頻寬額度，去計算出每一個服務流的到達率來做為一個頻寬分配的參數，再求得服務流的到達率之平均值與標準差，並以μ+kσ額度來做為分配頻寬，當k值愈大也代表了獲得愈高的優先權，透過k值可以決定這個服務流的效能。
在本論文中，我們將去修改調整BAcSOA演算法而成為增強型BAcSOA演算法(Enhanced BAcSOA, EBAcSOA)，並經由數值的分析，如何根據所需的效能來決定合適k值。因此，發展出一個模擬平台依據所需的效能來決定適當的k值，這個新穎的方法可以透過幾個工作點來獲得效能的結果，與其他研究方式大不相同，所提出的方法能夠從一個系統業者的角度來看是具有實用性，而這個方法對研究排程機制的學者們是具有吸引力。

Five types of service flows are defined in the standard of IEEE 802.16. Each service flow has its own type of quality of service (QoS) requirement. Some scheduling algorithm is needed to satisfy the QoS requirement of each class. Traditional Base Station allocates bandwidth according to the request of user. However, the request may not equal to the real requirement in some situation. Thus, the assignment of bandwidth may be far from the real requirement. When the load is heavy, this may cause the time delay of some queue too large and create serious problem for real time traffic. Also, this may make the CAC mechanism denies any service although some old grants are never used completely. A method named BAcSOA is proposed to solve this problem in this paper.
In the beginning, we will use the traditional “Request & Grant” mechanism. However, we will assume some users may not estimate their request correctly and the system may not operate efficiently. To correct it, the mean μ and standard deviation σ of the arrival rate for ertPS and rtPS traffic will be estimated during the operation of system. The mean μ represents the average requirement and the standard deviation σ includes the possibly temporary requirement of this queue. Therefore, the grant will be replaced and μ+kσ will be used as the assignment of these traffics. Larger k gives real-time traffic more chance to send all its data in the queue.
For real-time classes, the sent packet has a deadline. As the transmission delay is over the limitation of deadline, the packet becomes useless and will be discarded. Thus, they will be served earlier and have higher probability. The scheduler should assign proper bandwidth for real-time flows and send the real-time packets before they are discarded. To deicide the right allocated bandwidth, the arrival rate of each flow is a good parameter for assignment. The average μ and standard deviation σ of arrival rate correspond to the long term need and variation of load for one flow. Thus, we proposed μ+kσ is used as a reference to allocate bandwidth for one flow. Different classes of flows will be given different values of k which corresponds to the priorities of classes. In this algorithm, flow with higher priority should have larger value of k. The value of k will decide the performance of this class.
In this paper, we revise the algorithm to EBAcSOA and propose a mathematical way to decide the value of k for a required performance. Then, a simulation platform is proposed to decide k such that a required performance can be obtained for an operating system. This approach may be different from other researches in which there is no required performance and the performance results are obtained only for several operating points. However, the approach proposed is more practical from the view of an operator and may become an attractive point for other researchers.

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