本論文主要目的為解決新世代寬頻存取網路(Next Generation Broadband Access Networks, Next-BANs)的重要議題，其中包括無線寬頻存取網路(Wireless Broadband Access Networks, Wireless-BANs)與有線寬頻存取網路(Wired Broadband Access Networks, Wired-BANs)。
無線寬頻存取網路，例如Long Term Evolution (LTE) 與 Worldwide Interoperability for Microwave Access (WiMAX)，可能因無線媒介不穩定而造成封包遺失之問題。雖然混合式自動重傳請求(Hybrid Automatic Repeat request, HARQ)錯誤控制機制可彌補遺失的封包，但此機制具有低傳輸效率與不適用於延遲敏感之應用服務。而網路編碼技術可作為一個選擇以增進無線網路的吞吐量，但其產生嚴重的負擔與忽略媒介存取層的傳輸機會與實體層的通道狀況之網路限制。本論文首先針對隨機網路編碼(Random Network Coding, RNC)與系統網路編碼(Systematic Network Coding, SNC)分析其解碼機率。根據分析結果，本論文基於系統網路編碼設計一套動態網路編碼機制，命名為框架式動態系統網路編碼(Frame-by-frame Adaptive Systematic Network Coding, FASNC)。相較於其他現存的機制，所提出之框架式動態系統網路編碼可考慮每個框架時間的網路限制以大幅增進傳輸效率並且減少解碼延遲。
為了增進無線寬頻存取網路的系統吞吐量與覆蓋範圍，中繼技術為新世代寬頻無線標準(即LTE-advanced 與IEEE 802.16j)中一套備受矚目的解決方案。但如何以一套有效的方式分配網路資源仍然是具有挑戰性的議題。因此，本論文提出兩個有效的演算法，分別為中繼資源排程(Relay Resource Scheduling, RRS) 與動態中繼資源排程(Adaptive Relay Resource Scheduling, ARRS)以最大化網路系統效益值。而動態中繼資源排程演算法可透過動態決定下載存取區與穿透區所分割的比率來達到增進中繼資源排程的效能。並且，本論文證明此兩套演算法之計算複雜度為多項式複雜度，而其複雜度又與鏈結數目與網路通道數目成比例關係。動態中繼資源排程演算法演算法相較於其他演算法可達到較佳的系統效能並且提供相同的計算複雜度。
針對有線寬頻存取網路，乙太被動式光纖網路(Ethernet Passive Optical Network, EPON)因其在偏遠地區佈建成本昂貴，因此該網路無法符合新世代寬頻存取網路的需求。為了解決此問題，EPON/WiMAX整合型網路在目前的研究中成為一套大有可為的解決方法。但是，目前針對EPON/WiMAX整合型網路之頻寬分配機制卻忽略獨立的服務供應商(Service Provider)彼此之間的互動。因此，本論文針對自私的服務供應商在內部光纖網路元件(Intra-ONU)之頻寬分配問題提出一套兩階段賽局理論架構。本論文所提出之兩階段賽局架構藉由最大化EPON與WiMAX供應商利益、支援服務品質、與保證服務類別之間的比例性公平，以解決EPON/WiMAX整合型網路之資源共享問題。

This dissertation addresses three issues for next-generation broadband access networks which include Wireless Broadband Access Networks (Wireless-BANs) and Wired Broadband Access Networks (Wired-BANs).
Wireless-BANs, such as LTE and WiMAX, are inherently lossy due to the unreliability of the wireless medium. Although the Hybrid Automatic Repeat reQuest (HARQ) error-control method recovers from packet loss, it has low transmission efficiency and is unsuitable for delay-sensitive applications. Alternatively, network coding techniques improve the throughput of wireless networks, but incur significant overhead and ignore network constraints such as Medium Access Control (MAC) layer transmission opportunities and physical (PHY) layer channel conditions. This dissertation develops an analytical model of Random Network Coding (RNC) and Systematic Network Coding (SNC) decoding probabilities. Based on the results, SNC is selected for developing an adaptive network coding scheme designated as Frame-by-frame Adaptive Systematic Network Coding (FASNC). According to the per frame network constraints, FASNC significantly improves transmission efficiency and reduces the decoding delay compared to existing works.
Relaying provides enhanced system throughput and coverage of emerging Wireless-BANs as described in next generation broadband wireless standards (e.g., LTE-advanced and IEEE 802.16j). Allocating of network resources in an efficient and effective manner still remains a challenging issue. Accordingly, this dissertation proposes two efficient heuristic algorithms, namely Relay Resource Scheduling (RRS) and Adaptive Relay Resource Scheduling (ARRS), to maximize system utility. ARRS enhances upon the performance of RRS by adaptively setting the split ratio between the access zone and the transparent zone in the downlink subframe. Computational complexities of both algorithms are shown to be polynomial and proportional to the number of links and subchannels in the network. Compared to other algorithms, the proposed ARRS algorithm can achieve better system performance with comparable computation complexity.
For Wired-BAN, Ethernet Passive Optical Networks (EPONs) alone are not a good fit since they are cost-prohibitive for remote or rural areas. In order to address this issue, integrated EPON/WiMAX networks are a promising solution proposed in current literature. However, existing bandwidth allocation schemes for integrated EPON/WiMAX networks neglect the interactions between the self-interested EPON and WiMAX service providers. Accordingly, this dissertation presents a two-stage game-theoretic framework for the intra-ONU bandwidth allocation process in which the interactions between the EPON and WiMAX service providers are taken into account. This two-stage framework is capable of resolving the resource sharing problem for integrated EPON/WiMAX Networks by maximizing profit of the EPON and WiMAX service providers, supporting respective differentiated services, and guaranteeing proportional fairness for different traffic classes.

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