在過去數年，第四世代行動網路 (4th Generation Networks, 4G Networks)藉由在既存寬頻無線網路系統所進行的多項改善，使得此次世代行動網路變得更適合於提供多媒體服務（例如線上視訊與線上遊戲等）。基於無線網路使用裝置依賴電池的特性，節能議題依然是4G 網路中必須被解決的問題之一。此外，由於4G 網路使用者的快速增加，對於所增加頻寬需求的應對也成為了另一個備受關注的議題。為了解決這些問題，許多的排程演算法和睡眠模式運作機制已經被提出並被各別地研究。然而，對於這兩方面演算法交互作用下的效能評估依然是相當具有挑戰性的問題。在本篇論文中，我們提出一個針對4G 網路下影片群播(multicast)環境的模擬測試平台框架，藉此我們可以提供未來的演算法開發者能夠容易的同時評估其演算法在使用者滿意度(QoS)以及節能效率上的表現。在本篇論文中，我們首先將整體的影片群播系統分為三個主要部分:封包間排程、封包內排程以及睡眠模式控制。透過這種切割，未來的演算法開發者能夠針對任何單一部分進行演算法實作。我們同時將提供兩個實作使用者定義演算法的範例以作為未來使用者的參考例，藉此能讓未來的演算法開發者能夠更為容易地進行演算法的實作。同時在實作範例內我們同時也提供實際的實驗結果作為QoE 與能源消耗改良的實證，藉此證明結合QoE 與能源消耗於單一實驗的必要性。

The 4G mobile networks have improved the existed broadband wireless networks, which become suitable to provide multimedia services, such as IPTV or online gaming. Related
to the battery dependent nature of user devices, energy efficient problem is still an issue left to solve. Moreover, the raising number of 4G networks’ users also leads to bandwidth hungry of 4G networks, which is another issue need to handle. To solve these issues, many scheduling algorithms and power saving algorithms have been proposed. However, the performance of combinational of these algorithms is still hard to evaluate. In this work, we develop a novel video multicast simulation framework for 4G wireless networks, aiming to provide a platform for future algorithm designers to evaluate algorithm performance both on energy efficient and bandwidth Quality of Experience (QoE). In this work, we divide the whole video multicast system into three main parts: inter-frame scheduling, intra-frame scheduling and power saving control. By this, future algorithm designers will be able to design and implement their algorithm independently. We also give two implement examples as user guides to implement user-design algorithms, which may help
future algorithm designers implement their algorithms on the proposed framework easily. The simulation results will also be provided to show the performance improvement on both
QoE and energy efficiency, which indicate the necessary of combination consideration of QoE and energy efficiency.

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