隨著移動通信技術的發展，使用者與日俱增，對數據傳輸速率的要求越 來越高，造成頻譜資源緊缺的現象日益嚴重，於是在 2008 年 3GPP 開始制 定第四代無線網路系統 LTE-Advanced 相關規格，其中載波聚合(Carrier Aggregation)技術可藉由聚合連續與非連續載波的方式來提升資料傳輸速 率以滿足大量使用者的傳輸需求。 但使用者對於多媒體網路應用服務的需求持續提升，使得授權頻譜越來 越不堪負荷，因此本篇的論文希望能結合授權與未授權頻譜，提供更寬廣 的資料通道，進而提供使用者更高的資料傳輸速率，本論文著重於提高下 行鏈路的系統吞吐量，提出了基於基因演算法優化權重並參考載波單元通 道品質及負載狀況以挑選最適合使用者的載波單元，以及針對 GBR 與 Non-GBR不同Traffic類型的資源分配方法，使系統進行更有效的資源分配， 最後我們將透過模擬的結果來證明所提出的方法是否有效提高系統吞吐量 及使用者滿意度。;With the development of mobile communication technology, the number of users and the demand of data rate has been increasing, causing serious shortage of the spectrum resources. In 2008, 3GPP began to develop the specification of the fourth-generation wireless network system, i.e. LTE-Advanced, and the carrier aggregation (CA) technology to enhance the data rate by aggregating continuous and non-continuous carriers to make a lot of users satisfied with the transmission requirement. But the demand of users for multimedia Internet services has been increasing, making the unlicensed spectrum become overloaded. Therefore, this thesis hopes to combine the licensed and unlicensed spectrum to provide a wide data channel and high data rate to users. This thesis focuses on improving the system throughput in the downlink and proposes the way based on the generic algorithm (GA) to optimize the weight. According to channel quality and loading, we select the component carrier which is the most suitable to users, and a resource allocation method for the GBR and non-GBR of different traffic types to make resource allocation more effective. Finally, we validate our method through simulation, to check out whether the proposed method can improve system throughput and user satisfaction or not.
