本論文中提出了一個在長程演進的技術(Long Term Evolution，LTE)下行鏈路(Downlink)通訊中使用者位置推薦演算法，提出的位置推薦演算法進一步與修正的最大加權優先延遲(MLWDF)結合並且改善系統的性能。

從模擬實驗結果可以發現，通過提出的使用者位置推薦演算法可以改善語音(VoIP)和影片(video)上服務品質(Qos)的性能包括封包遺失率和吞吐量的部分在長期演進的技術(Long Term Evolution，LTE)下行鏈路中。

關鍵字：長期演進技術、位置推薦、下行鏈路、服務品質、資源分配。

In this thesis, we propose a user location recommendation algorithm in the Long Term Evolution (LTE) Downlink communication. The proposed location recommendation algorithm is further combined with Modified Largest Weighted Delay First (MLWDF) to improve system performances such as throughput, packet delay and packet loss rate.
From the simulation results, we find that the Quality of Services (QoS) including throughput and packet loss rates of Voice over IP (VoIP) and video in LTE Downlink communications can be improved by using the proposed user recommendation algorithm.
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Keywords— Long Term Evolution (LTE), Location Recommendation, Resource Allocation, QoS (Quality of Service).

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