每年全球行動網路的速度及流量需求皆迅速成長，根據Cisco對未來行動網路的預測，在未來五年當中，行動數據數據流量會成長二十倍左右，由此可見，人們對行動數據流量以及行動裝置的需求也將大幅提升。即將到來之4G+網路與5G網路將改善業者之應用，行動通訊業者可將公司頻譜資產提高活用性的最大限度，並提供高速數據通訊服務、擴大網路容量。

傳統網路在參數設定上皆透過網管系統以手動方式做修改及調整，因此整體網路處理問題的速度仍稍嫌慢。以往營運商在架設或調整基地台時需要耗費相當多的人力和時間，例如基地台的功率、天線傾角、換手參數等，有時甚至需要一些專業的Planning Tool、Scanning Tool、長時間的測試等，以達到整體基地台網路之最佳化。

自組織網路(Self-Organizing Networks, SON)透過自動化機制簡化營運任務，能有效降低無線網路規劃、安裝、優化及管理成本，使其成為提升網路運作維護效率與網路品質的一套解決方案。在未來更為複雜的5G網路中，尤其是較擁擠的市區，其網路管理及負載平衡之難度將更高。本研究所提出的SON管理機制透過觀察及預測基地台負載之變化，經由數學演算方法，進行小型基地台(Small Cell)與大型基地台(Macro Cell)之間的卸載選擇，同時調整定義於3GPP的覆蓋及容量優化(Coverage and Capacity Optimization, CCO)參數，本論文提出之機制使整體頻寬平均上升了4%，網路整體容量增加率提升了10.4%，並且解決了負載分布不均之狀況；然而此機制之演算法較複雜，故執行時間較現有方法延遲了1.428%。

The average global connection speed of network has been increasing year-over-year to a new high. According to Cisco’s Future Mobile Report, the demands of the mobile world are growing faster and faster, with data traffic increasing by 80 percent in the last year. The upcoming 4G + network and 5G network is going to improve the industry applications. Meanwhile, mobile communication operators will be able to make better utilization of their spectrum assets, provide high-speed data communication services, and increase network capacity.

Traditional network parameters are manually set or adjusted by the network management system, so there is still a lot of room for improvement in the operational speed. For example, professional Planning Tool, Scanning Tool, or time-consuming road measurements are needed when erecting the parameters of base stations.

Self-Organizing Networks (SON) is an automated mechanism that is able to simplify the overall operational tasks and improve the operational efficiency. In the future 5G networks, especially in the congested urban areas, the difficulties of network management and load balancing will rise. The proposed novel SON management mechanism in this study is able to influence the total network behavior by arranging the SON function parameters and adjusting the configuration of devices, user equipment and small cell. The simulation results show that the throughput after applying the proposed mechanism has increase 4% of the original throughput in average, and the greatest improvement can increase 4.5% of the the original throughput.

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