下世代指向性毫米波媒體(MAC)資源分配最佳化

Abstract

下世代的高速行動網路將發展於毫米波傳輸。無限行動網路的資源分配是許多研究發展的重要領域，特別是 5G 的下世代網路。在這個論文裡，我們將設計一個指向性的資源分配演算法。主要針對從基地台下載到行動裝置的資源分配。這個演算法稱之為 PWBU Approach，設計於達到次等優化，但省下許多處理時間。在這篇論文的末端我們將證明這個演算法可以把使用者有效率的分配到這個時槽裡頭，且用低干擾的指向性訊號做完資源分配。這些資源分配的結果，將會跟窮舉法所找出來的絕對最佳分配做比較。

Next generation cellular system applies mmWave for high rate transmission. Radio resource allocation is a critical problem in 5G mmWave system. In this thesis, we design a resource allocation algorithm, mainly on downlink data transmission by Base Station (BS) to User Equipments (UEs) implemented using directional antennas. The resource allocation is accomplished by Pair-Wisely Bottom-Up (PWBU) approach, targeting a time-efficient allocation based on SINR value feedbacks. We utilize adaptive smart antennas capable of simultaneous transmission toward different target device ends. The goal of allocation is to determine which UEs to serve in each time-slots. At the end of this thesis, we will evaluate performance of PWBU heuristic allocation. The designed algorithm will achieve time efficient and sub-optimal resource allocation compared to the results of exhaustive optimization.