於LTE-A無線網路之時間延遲與比例型公平資源分配演算法
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2013
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本論文提出一個下行鏈路(Downlink)資源分配演算法係針對混合網路中各種不同性質之服務流使用於以正交分頻多工存取(Orthogonal Frequency Division Multiple Access, OFDMA)技術為基礎之無線環境，其根據各服務流特性，提出一個低計算複雜度兼具效能之資源分配演算法應用於第四代無線通訊系統中如長期演進 (Long-Term Evolution, LTE-A)無線網路系統。本篇之設計動機於設計一個資源分配演算法不僅可維持即時(Real time, RT)服務之服務品質(Quality of Service, QoS)，也可透過比例型公平演算法(Proportional Fairness, PF)提升非即時(Non-real time, NRT)服務之資料傳輸量，以達到保證RT服務之QoS要求且提升整體系統傳輸量。透過模擬，我們觀察到提出之演算法可以維持RT服務之QoS，並能有效地提高整體系統傳輸效能。
In this paper, a low computational complexity and effective way to improve the downlink resource allocation algorithm is presented, which involves the users of mix traffics over LTE-A (Long-Term Evolution Advanced) wireless networks. Our research objective is to guarantee the QoS (Quality of Service) requests from real time (RT) services and the proportional fairness (PF) of resource allocation from non-real time (NRT) services. The downlink resource allocation algorithm we proposed is able to schedule real time (RT) and non-real time (NRT) services according to each priority factor defined by us, and allocate resources through evaluating different priority factors. From the simulation results, it is shown that the performance of proposed algorithm not only guarantee the QoS for the RT services also helps improve the NRT services’ usage, so as to enhance the downlink transmission efficiency over LTE-A wireless networks.
In this paper, a low computational complexity and effective way to improve the downlink resource allocation algorithm is presented, which involves the users of mix traffics over LTE-A (Long-Term Evolution Advanced) wireless networks. Our research objective is to guarantee the QoS (Quality of Service) requests from real time (RT) services and the proportional fairness (PF) of resource allocation from non-real time (NRT) services. The downlink resource allocation algorithm we proposed is able to schedule real time (RT) and non-real time (NRT) services according to each priority factor defined by us, and allocate resources through evaluating different priority factors. From the simulation results, it is shown that the performance of proposed algorithm not only guarantee the QoS for the RT services also helps improve the NRT services’ usage, so as to enhance the downlink transmission efficiency over LTE-A wireless networks.
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長期演進, 資源分配, 下行鏈路, 服務品質, 比例公平, LTE-A(Long-Term Evolution Advanced), resource allocation algorithm, mix traffic, QoS(Quality of Service), PF(Proportional Fairness)