近年來，無線網路的技術不斷的進步，單一的無線電存取技術已經不符合時代的需求，為讓使用者未來可以隨時隨地無間斷的服務，包括了歐洲的3GPP和北美的IEEE，都已經朝向異質無線網路環境的技術發展，由於異質無線網路和單一無線網路的不同，對於資源的整合與管理而言是一項莫大的挑戰。 本論文提出一套新穎的機制來解決聯合無線電資源管理，基於模糊邏輯控制有效的作資源的估測與保留，同時完成最初無線電存取技術之選擇、水平換手、垂直換手、允入控制和負載平衡，達成集中管理之目標，並考量到三種訊務，分別為聲音、影像和資料，在多個無線電存取技術環境下，保證滿足服務品質之需求，其中考量到的無線電存取技術，分別有GERAN、HSPA、Mobile WiMAX。 演算法分成四大步驟，依序為訊務分類、資源估測與保留、允入控制和無線電存取技術之選擇。而使用模糊邏輯控制的原因為，其擴充性高，且運作過程不複雜，可以達到有效的資源管理；無線電存取技術之選擇，則使用了多屬性決策來完成，藉此達到比傳統無線電資源管理機制，有更佳的使用率。 The wireless network technology has significant progress in recent years. Users prefer to use any devices to access wireless networks anytime, anywhere, but a single radio access technology (RAT) cannot fulfill the users’ needs. In order to satisfy the users’ requirement, 3GPP and IEEE are currently developing wireless network standards related to the heterogeneous wireless network environment. Because the heterogeneous wireless network is more complex than a single wireless network, there are many challenges for the integration and management of radio resources. This thesis address a novel mechanisms to solve problems in joint radio resource management (JRRM). The fuzzy logic based algorithm can make proper initial RAT selection, horizontal handoff, vertical handoff, admission control and load balance. By considering three kinds of traffic, voice, video and data respectively, the proposed algorithm can meet the demand for quality of service (QoS) in the heterogeneous wireless network that includes GERAN, HSPA and Mobile WiMAX RATs. The proposed algorithm is divided into four parts: traffic classification, resource estimation for reservation, admission control and RAT selection. Due to the flexibility and simplification, the fuzzy logic control (FLC) is chosen to make effective utilization of resources. The multi-attribute decision making (MADM) based RAT selection also has better efficiency than that in traditional radio resources management (RRM) mechanisms.
