近年來無線通訊網路持續發展，而在第四代行動通訊技術標準(4G)中，以長期演進技術(LTE)的發展最為快速。為提供使用者享受隨選視訊等多媒體服務，第三代行動通訊技術標準(3GPP)提出多媒體廣播群播服務(MBMS)，在LTE中，又稱為Evolved MBMS(e-MBMS)。為了確保群播群組的使用者皆能收到視訊，基地台須因接收訊號狀況較差的使用者來降低傳輸效率。然而隨著手機等無線網路需求的手持裝置益增，而使得現有的無線網路並無法滿足所有使用者的需求，為有效利用網路資源，需要去考慮計價模式等依使用者需求來增進網路效能以及營運商的利益。因此如何有效率的利用有限的頻寬資源是現在無線通訊網路領域的發展重點之一。本論文基於營運商在進行影片群播服務時，依據使用者所能收到的影片品質差異分等級作為計價模式(Pricing Model)，並且考量越高計價的使用者能夠收到較多的影片層數，並提出考量計價等級資源分配方式(Pricing Class based Resource Allocation Scheme)，此方式透過考慮資源利用率加上利用使用者計價分群計算出群播服務競爭資源的優先順序，達成增進無線網路頻譜的使用效率，使得使用者能夠收到該被服務等級的影片。從模擬實驗中來看，提出的方法與其他傳統排程方法相比能增加收到的影片層數，另外從各種計價等級之間使用者收到影片等級來看也符合付出越多的使用者得到越多的服務的原則，達到使用者能獲得更好的視訊服務且營運商在滿足使用者的情形下得到較多收益。

How to efficiently use the limited wireless bandwidth is of paramount important in the radio wireless network area. To use the wireless bandwidth in an efficiently way, one can consider a pricing model to improve users received video layers and increase service provider’s revenue. In this thesis, we divide the users into three classes. For different class users, they pay different price and enjoy different QoS. In a pricing model, a service provider has to provide more video layers for the user who is at the higher price. Then we propose a Pricing Class based Resource Allocation Scheme (PCRAS) that considers the price of multicast group and uses channel quality indicator to compute resource allocation priority to utilize resource blocks efficiently. Experimental results shows that the proposed scheme can increase users’ received video layers. And users between different classes will receive different level of services. In comparison to MT, the proposed scheme can improve users’ video layers at least 12%, increase service providers’ revenue at least 28% and 11% using the Fixed PRB and SCP pricing models, respectively.

論文審定書 i
誌謝 ii
摘要 iii
Abstract iv
Table of Contents v
List of Figures vii
List of Tables ix
Chapter 1. Introduction 1
1.1 Overview 1
1.2 Motivation and Goal 3
Chapter 2. Background Materials and Related Works 6
2.1 Background Materials 6
2.1.1 LTE Network Architecture 6
2.1.2 OFDMA 9
2.1.3 Cannel Quality Indicator (CQI) 10
2.1.4 QoS Class Identifier (QCI) 11
2.1.5 Channel Model 12
2.1.6 Evolved Multimedia Broadcast Multicast Service (e-MBMS) 13
2.2 LTE Scheduling 14
2.3 LTE Pricing Model 15
Chapter 3. Proposed Method 17
Chapter 4. Simulation 27
Chapter 5. Conclusion 43
References 44

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