多躍無線技術是次世代無線網路提昇傳輸速率的重要備選方案之一，本論文以目前廣為使用的Wi-Fi與LTE-A技術，探討引入多躍無線網路架構所產生的問題，並提出解決方法。論文的第一部份是探討採用Wi-Fi技術的多躍無線骨幹網路，所遭遇中繼節點傳輸率過低以及中繼節點傳輸率與位置相關的「停車場問題」。本論文採用漣波媒體擷取控制協定來提昇中繼節點的傳輸率，並提出雙階層服務品質排程機制來解決「停車場問題」，以保證用戶的服務品質。文中提出一個多訊務類別佇列模型，可分析用戶在多躍骨幹網路內的端對端吞吐量與平均延遲，文末並透過模擬驗證分析模型的正確性。論文的第二部份是探討採用LTE-A技術的多躍中繼網路，因基地台無法得知用戶的通道品質而無法正確排程，致使中繼站因佇列溢位造成部分用戶遺失過多封包，或因佇列虧位導致部分用戶服務中斷的問題。本論文提出一個動態流量控制演算法，讓基地台僅需利用中繼站回報的少量信令訊息，即可依用戶變動之通道狀況來調整每個用戶的傳輸流量，有效降低中繼站佇列溢位及佇列虧位的機率。論文的第三部份是探討LTE-A中繼網路下自由移動時，新舊中繼站之間的封包轉送問題。預先緩衝佇列是解決中繼站封包轉送問題的一項常見作法，本文發現，不適當的流量控制將會嚴重影響預先緩衝佇列的效果。本論文提出一個考慮預先緩衝佇列效應的流量控制機制，讓中繼站可降低換手時轉傳的封包資料量，並避免因不當流量控制所造成中繼站的佇列溢位或佇列虧位問題，藉以提昇系統的傳輸率。

Multihop wireless technology is one of the solutions proposed to improve the transmission rate of the next-generation wireless networks. This dissertation investigates the impact of the multihop wireless architecture on the widely used Wi-Fi and LTE-A technologies. The first part of the dissertation studied the Wi-Fi-based multihop wireless backhaul networks. In such networks, the end-to-end throughput of the network decreases as the length of the backhaul network increases; and the throughput of a relay node depends on its location, which is also known as a ‘parking-lot problem.’ We adopted a Ripple protocol to enhance the throughput of relay nodes and proposed a two-level quality of service (QoS) scheduler to solve the parking-lot problem and to guarantee the QoS of each user. A queueing model was presented to analyze the end-to-end throughput and mean delay of the multihop wireless backhaul networks and the accuracy of the proposed model was verified by computer simulations. The second part of the dissertation investigated an LTE-A relay network. In LTE-A relay network, the base station is not aware of users’ channel qualities served by a relay node. The mismatch of the data rates between the access link and the relay link may result in buffer-overflow for some users while buffer-underflow for the other users served by the same relay node. A dynamic flow control algorithm (DFCA) was proposed to minimize the buffer-overflow and buffer-underflow probabilities. The proposed DFCA is designed to minimize the feedback signaling overhead by dynamically adjusting the window size and the feedback frequency based on relevant measure obtained from individual user. The third part of the dissertation considered the packets forwarding between two relay nodes in an LTE-A relay network for a mobile user during handover. Pre-buffering scheme is a solution adopted by the relay nodes to reduce the number of forwarding packets. However, it was found that improper flow control scheme may severely degrade the performance of the pre-buffering scheme. A pre-buffering-aware flow control scheme (PFCS) was presented to reduce the number of forwarding packets and increase the system throughput by solving buffer-underflow and buffer-overflow problems.

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