5G 系統希望能支持更高的傳輸速率及更大量及多樣化的行動裝置，為此採用了載波聚合(Carrier Aggregation)、混和波束賦型(Hybrid Beamforming) 等技術，為了在採用以上技術的同時滿足5G 的延遲要求，我們提出了一套快速有效的方法來進行5G 的下行資源分配。5G系統採用部分頻寬(Bandwidth Part) 的特殊技術來縮減使用者設備需要支援的頻寬大小，我們利用此特性在每一個載波上的每一個部分頻寬來平行化進行資源分配。本論文針對5G 系統的各項限制建立一套整數線性規劃的數學模型，並且驗證平行化後能有效的降低模型大小及其運算時間，同時在系統總和輸出上超越一般的起發式演算法。;The 5G system is expected for supporting higher data rate, much more User Equipments (UEs) and diverse applications. 5G system adopt many techniques, such as Carrier Aggregation (CA) and Hybrid Beamforming. Bandwidth Part (BWP) is a new concept adopted to reduce the bandwidth which UEs are required to support. With the constraints corresponding to those techniques, we proposed an efficient method for 5G downlink transmission. We adopt this characteristic to parallel schedule on each BWP of each carrier. In this paper, we model the 5G scheduling problem into an Integer Linear Programming problem, and analyse the performance of our parallel architecture can outperform the general heuristic method.
