極微小型基地台 (Femto Base Station) 是一種家庭式的基地台,主要是讓使用者自行購買回家安裝,以增加室內的覆蓋率,並改善室內收訊品質不佳的狀況。極微小基地台也能降低大基地台 (Macro Base Station) 的負擔,使大基地台能夠提供室外用戶更好的服務品質,因此在環境中大量佈建開放式極微小基地台對整個系統是有利的。但是使用者較偏好的封閉式極微小型基地台,只有特定的用戶群能對其連線,若大量佈建在環境當中,會對大基地台與開放式極微小基地台使用者造成嚴重的干擾。在先前的研究當中,有論文提到能夠透過限制封閉式極微小基地台所能使用的資源區塊 (Resource Block) 數量以降低封閉式極微小基地台對其他使用者的影響。本論文提出以基因演算法及迴歸分析的方式,來預測出封閉式極微小基地台最佳使用的資源區塊數量以提升整個系統的公平性。並提出改以限制總傳送功率的方式,在省電及不影響其他使用者的情況下盡可能地提升封閉式極微小基地台使用者的吞吐量。最後經由模擬證實以限制總傳送功率的方式來降低封閉式極微小基地台的干擾能讓系統有最佳的效能,同時還能夠節省約七成五左右的傳送功率。
Femtocell is one kind of home base station, and it can be installed at home by users themselves. The Femtocell can improve the coverage of mobile network and increase the capacity of UE (User Equipment) that is inside the house. Because Femtocell can attract UEs to handover to it, the loading on Macro base stations can be reduced so that a Macro base station can provide a better service to mobile UEs. It is therefore beneficial to install lots of OSG (Open Subscriber Group) Femtocell in the environment. On the other hand, the installation of the CSG (Closed Subscriber Group) Femtocells in the environment will degrade the system performance, since the CSG Femtocell can generate a strong interference to other UEs. This thesis proposes a self-configuration approach to address this problem by using genetic algorithm and regression analysis. In our approach we limit the resource block and total transmission power that a CSG femtocell can use to increase the fairness of the system. At the same time, we can save the transmission power by more than 70%.