最近針對群播服務滿足多媒體負載的需求在資源分配上已被廣泛地研究。動態資源分配是能在保證使用者服務品質之下大幅度改善下一代無線系統效能的一個關鍵技術，然而，目前大多數的資源分配演算法被限制在單播負載上。在本篇論文中，我們考慮在一個群播正交分頻多工系統中，分別對不同的最佳化準則，提升系統通達率。首先，我們考慮在一個總功率的限制下，最大化系統的通達率。其次，則考慮另一個最佳化準則，為在群組間的比例公平性與總功率的限制下，最大化系統的通達率。?了要解決上述最佳化問題，我們可以利用整數規劃獲得最佳解。然而，使用整數規劃求解，往往具有高的計算複雜度。因此，我們提出一個具有低計算複雜度的次佳化演算法。首先，該演算法透過所有群組中的用戶的通道品質資訊，?群組們分配子通道。緊接著，則對每一個子通道分配功率提升系統的通達率。數據分析展現針對通達率最大化和比例式公平性所提出的資源分配機制將大幅度勝過傳統群播傳輸機制，最佳化方法和啟發式方法的解之間差距小於5%。 Recently, there has extensive research on resource allocation schemes for multicast services that would satisfy the requirements of multimedia traffic. Dynamic resource allocation is a key techniques that can significantly improve the performance of the next generation wireless systems under guaranteed QoS to user. Most of the current resource allocation algorithms are, however, limited to unicast traffics. In this thesis, we considered separately the different optimal scheme to promote the system throughput in the multicast OFDM systems. First, we considered the scheme of maximum throughput (MT) under the constraint of total power. Next, that considered another optimal scheme for MT under the constraint of total power and proportional fairness (PF). To solve the optimal problem, we can utilize the integer programming (IP) to obtain the optimal solution. However, which used the IP to solve, often had high computational complexity. Therefore, we proposed the suboptimal algorithm that has the low-complexity. First, the algorithm that assigned the sub-channels to the groups by all groups of the users of the channel information. Then, each sub-channel assigned power to promote the system throughput. Numerical results show that the proposed resource allocation scheme for both MT and PF significantly outperform the conventional multicast transmission scheme. The difference optimum and heuristic solutions is less than 5%.
