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研究生:楊俊興
研究生(外文):Chun-Hsing Yang
論文名稱:先進長程演進網路省電機制之研究
論文名稱(外文):Investigation of Power Saving Mechanism for LTE-Advanced Networks
指導教授:游國忠
指導教授(外文):Gwo-Jong Yu
口試委員:張志勇石貴平
口試委員(外文):ChihYung ChangKueiPing Shih
口試日期:2012-06-26
學位類別:碩士
校院名稱:真理大學
系所名稱:資訊工程學系碩士班
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2012
畢業學年度:100
語文別:中文
論文頁數:62
中文關鍵詞:先進長程演進省電機制非連續接收機制服務品質模糊邏輯理論封包排程通道品質指標
外文關鍵詞:LTE-APower SavingDRXQoSFuzzy LogicPacket SchedulingCQI
相關次數:
  • 被引用被引用:2
  • 點閱點閱:233
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  • 下載下載:4
  • 收藏至我的研究室書目清單書目收藏:0
隨著無線通訊技術與多媒體服務的發展,以及日益豐富的網路資訊內容,無線多媒體傳輸流量迅速增加。但因使用者用戶設備 (UE)的電量有限,如何讓使用者享受豐富的多媒體服務的同時,又能延長使用者用戶設備的時間,成為一個重要的研究議題。因此在LTE-Advanced (LTE-A)的技術中,省電機制Discontinuous Reception (DRX)顯得格外的重要。DRX概念是當沒有數據封包傳輸時,可允許UE關閉無線傳輸設備一段時間,以節省不必要的電量消耗。另一方面,行動設備日益普及導致無線通訊需求大增。因基地台eNB的頻寬資源有限,若沒有良好的排程演算法來分配及管理系統資源,那麼系統資源將面臨嚴重缺乏或是分配不均的狀況,並大大影響LTE-A整體的效能。綜合上述說明,如何提升基地台排程效能並節省用戶設備的電量消耗便成為一個重要的研究議題。本論文分成兩個部分。第一部分以單一使用者用戶設備的Power Saving為議題,在時間延遲及電量消耗間取得較佳之效能。在第一部份中本為提出了一個動態調整DRX機制的方法,此方法分為流量預估與模糊邏輯控制器兩部分,並且參考服務質量 (Quality of Service,簡稱QoS)中的延遲時間及封包到達率,來推估出下一段時間較合適之DRX mode。透過此方法中的模糊邏輯控制器以得到最佳的DRX cycle參數值,以便能減少傳輸數據封包的延遲時間,以及有最大限度的省電效能。而第二部分則以基地台為考量整合DRX機與Scheduling機制為主題,以達到基地台頻寬有效的管理及使用者電量消耗的節省。本為提出了一個新的排程演算法,並且整合了DRX節能機制,而提出來的機制可以處理有啟動DRX的用戶和未啟動DRX的用戶之情形,並還加入可調整UE的喚醒期間之機制和可動態調整DRX機制,甚至為了使DRX機制的用戶能在喚醒期間盡量讓多Data Flow傳輸完畢,所以考慮到多流量的整合策略。所提出的排程和DRX整合機制能有效的管理系統資源以提升LTE-A系統的Throughput效能,並且還具有公平性、滿足用戶的QoS需求,以及又可以提升Power Saving等效益。最後將透過數值模擬結果來驗證本文提出演算法之效能。
The advance of wireless communication technologies, multimedia service provision, and rich Internet contents rapidly increase the traffic of wireless multimedia communication. Due to the energy of user equipment (UE) is limited, an effective communication protocol which can provide high speed and rich multimedia contents while the energy consumption of UE can be reduced is important for next generation communication protocol. The DRX is an important mechanism for power saving in the LTE-A technology. The operation of DRX is tuning off communication circuit when there is no data packet transmission. The precious energy of UE can thus be reserved for longer UE lifetime. One the other hand, the increasing number and the popularity of mobile device has leads to huge wireless communication requests. However, the spectrum resource of eNB is scarce and limited. A high performance scheduling algorithm is required to properly manage these resources. Not only that, the energy in UE is also limited. It is possible that energy saving mechanism in UE may affect performance of scheduling algorithm in eNB. This thesis consists of two parts. The first part focuses on the power saving issue for single UE. The objective is to propose an energy efficient power saving mechanism which can achieve good balance between transmission latency and energy consumption. The proposed mechanism integrates traffic estimation and fuzzy logic controller. The packet arrival rate and transmission delay in previous interval is applied to predict the traffic pattern of next interval. Fuzzy logic controller then decides proper DRX parameters based on the estimated traffic pattern to achieve better system performance. The second part integrates scheduling and power saving issues in eNB to achieve objective of effective spectrum management in eNB and effective energy management in UE. A novel scheduling algorithm which takes DRX power saving mechanism into consideration for LTE-Advanced network is proposed. The proposed mechanism operates in environment where both DRX-enabled UE and DRX-disabled UE coexist. To achieve better performance, DRX parameters can be adjusted to prolong UE lifetime while the bearers of UE can be integrated to get better system throughput. That the proposed mechanism can increase system throughput, obtain UE fairness, satisfy QoS requirement of UE, and achieve energy saving objectives. Finally, the proposed protocol will be justified through intensive numerical simulation.
目錄 V
圖目錄 VII
表目錄 IX
第一章 緒論 1
1.1 前言 1
1.2 研究動機與目的 3
1.3 論文架構 5
第二章 文獻探討 7
第三章 LTE-A技術簡介 10
2.1 LTE-A架構 10
2.2 LTE-A相關技術與知識 13
2.3 模糊邏輯(Fuzzy Logic)理論 17
2.4 DRX機制 18
2.5 LTE-A Scheduling機制 23
第四章 Fuzzy DRX Mechanism (FDRX) 26
4.1 研究方法 26
4.1.1 流量預估 27
4.1.2 模糊邏輯控制器 29
4.2 效能評估 34
4.3 模擬實驗 35
第五章 Integrated Scheduling and DRX Mechanism (ISDRX) 40
5.1 研究方法 40
5.1.1 多流量的整合策略 40
5.1.2 DRX動態調整機制 43
5.1.3 DRX喚醒偏移機制 47
5.1.4 UE排程演算法 50
5.2 模擬實驗 53
第六章 結論 59
參考文獻 60

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