超微型基地台行動虛擬網路業者之營運模型分析

Abstract

基於目前台灣蜂巢式行動無線網路的蓬勃發展以及行動上網普及率高的情況，對於日益增加的上網人口與有限的無線頻譜資源條件下，除了要有效的進行無線頻譜資源的分配，更必須最大化無線頻譜的使用效率，其最終目標在於因應無線通訊的快速發展，以迎合各種新通訊技術或產品服務的應用。 有鑑於3.5G(High Speed Packet Access, HSPA)行動網路的服務是以提供高速行動上網為主，而無線頻譜資源的稀少加上基地台收發機的站址不易取得，勢必將是行動網路業者要擴充無線網路容量的困擾。伴隨著行動上網用戶數的成長，無線頻譜資源將逐漸無法滿足用戶所需之服務品質(Quality of Service, QoS)。然而藉由新頻譜的取得，可擴展業者的網路容量，改善通訊品質，本論文基於此背景之下，研究業者在取得新頻譜之前提下，如何利用超微型基地台(Femtocell Base Station)這項電信產品來達到最有效率的頻譜資源使用。本論文目標為建立一個可供行動虛擬網路業者(Mobile Virtual Network Operator, MVNO)模擬分析之模型，此模型可用以模擬超微型基地台(Femtocell-based)的佈建及營運演進，分析其商業營運模式的可行性，以及採用不同網路佈建策略業者間的競爭與市場消長。 本模型假設有數個行動網路業者(Mobile Network Operator, MNO)各自擁有電信基礎設備與長期頻譜執照，以拍賣方式取得新頻譜執照後，將一部分頻譜分配給MVNO之Femtocell使用。模型中用戶的移出使用Sigmoid函數來計算用戶的移出率(Churn Rate, CR)，用戶的流入則使用了業者的行銷費用指標、通訊品質指標、漫遊吸收比例做為衡量標準。 經由模擬來得知每季之用戶數、市占率等，來評估分析此項商業投資的可行性，做為業者營運之參考依據。

In view of the increasing number of mobile subscribers and the scarcity of radio resources, we have to maximize the spectrum efficiency in order to meet the requirement of the new wireless applications. When deploying the HSPA network, the difficulty in acquiring new site locations and the high capital expenditure become the limiting factors to the expansion of network capacity. As a result, the quality of service will deteriorate with the growing number of subscribers due to insufficient capacity. In order to address this issue, it is promising for the operators to bid for a new frequency band and make efficient use of it by deploying femtocells. In this thesis, we propose a model for the femtocell-based mobile virtual network operator (MVNO) and analyze the market evolution of multiple operators with different network deployment strategies. Our model assumes that the MNOs are facility-based and they assign the new frequency block to the MVNO for deploying the femtocells. We include the marketing index, utility index, attractive index, roaming index in the calculation of the subscribers’ churning behavior. Based on this model, one can obtain the variation of subscribers and the market ratio via simulation results. In the end, operators can analyze this business investment feasibility.