在無線網路環境中，無線資源的分配是一項重要課題，「無線即有限」這句話充分地說明了無線網路的珍貴特性。為了讓無線資源能夠更有效的分配，許多改良排程演算法不斷地被提出，但大部分的演算法專注於符合服務品質(Quality of service; QoS)的最低要求，例如封包延遲時間或遺棄率的限制，而忽略了使用者的感受，即為用戶端的經驗品質(Quality of experience; QoE)。
用戶經驗品質代表著該用戶接受到服務後最直接的觀感。目前已有許多研究將用戶經驗品質概念作為其演算法效能評估的標準，但是大多侷限於網路協定中網路層以上的探討。因此本研究將提出一個以平均意見指標為基礎(Mean opinion score based; MB)，結合服務品質與經驗品質的資源分配演算法，希望能夠利用服務品質的效能評估項目，例如封包延遲時間與遺棄率，來快速地計算出用戶經驗品質的平均意見指標，並以此做為排程演算法的排程參考依據，以達到在指定經驗品質下的用戶數量最大。
模擬結果顯示出利用本論文所提出的基於平均意見指標之排程演算法除了能符合LTE(Long term evolution)中對於服務品質的要求還能進一步提升每位使用者的經驗品質，此演算法能有效的讓大部分的使用者皆擁有良好的經驗品質。

In the wireless network environment, the radio resource allocation is an important issue. To make radio resource allocate more efficiently, many improved algorithms have been proposed constantly. However, most of algorithms focus on meeting the minimum demand of the quality of service (QoS) such as the packet delay or the limits of packet loss rate. Besides, the user’s feelings, namely, the quality of experience (QoE) are ignored.
QoE represents the users’ most direct perception after they receive the service. Nowadays, there are many researchers treating the concept of QoE as the standard of efficacy evaluation for algorithms. However, most of them are confined to the investigation of the network layer above in the network protocol. Thus, this study will propose the mean opinion score based algorithm (MB) and combine the resource allocation algorithms of QoS and QoE to adopt the items of efficacy evaluation of QoS such as the packet delay and the limits of packet loss rate to fast calculate the MB of QoE. In addition, the MB of QoE will serve as the basis of the scheduling algorithm to attain the maximum numbers of users.
The simulation results show that the scheduling algorithm based on MB proposed from this study, not only meet the demand of QoS for long term evolution (LTE), but also further enhance every user’s QoE. In short, this algorithm can effectively make most of users possess excellent QoE.

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