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研究生： Matej Korych
Matej Korych
論文名稱： Neighbour Cell List Management for Handover in Mobile Networks
Neighbour Cell List Management for Handover in Mobile Networks
指導教授： 鄭瑞光
Ray-Guang Cheng
口試委員: 鄭瑞光
Ray-Guang Cheng
許獻聰
Shian-Tsung Sheu
呂政修
Jheng-Siou Leu
王瑞堂
Rui-Tang Wang
學位類別： 碩士
Master
系所名稱： 電資學院 - 電子工程系
Department of Electronic and Computer Engineering
論文出版年： 2018
畢業學年度： 106
語文別： 英文
論文頁數： 62
中文關鍵詞： Neighbour Cell List optimization 、NCL management 、handover 、Signal to Interference plus Noise Ratio 、outage probability 、scanned cells 、handover failure rate 、prediction 、extrapolation 、cubic spline 、Home eNB 、handover history
外文關鍵詞： Neighbour Cell List optimization, NCL management, Signal to Interference plus Noise Ratio, outage probability, scanned cells, handover failure rate, extrapolation, Home eNB, handover history
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    • 移動網絡中相鄰小區列表（NCL）的有效管理可以顯著減少用戶設備在掃描週期間隔內提供的掃描和報告小區的數量。 特別是在網絡中部署了大量的毫微微蜂窩基站的情況下，NCL可能非常大，因此UE必須掃描並上報許多小區的信號質量，即使這些小區不適合切換。 這可能導致信號化開銷並減少數據傳輸的時間，因為此時用於鄰居掃描。 本文提出了對[1]中提出的現有的基於SINR的NCL約簡算法的改進。 改進在於應用SINR預測來計算用於NCL降低的動態閾值。 提出的解決方案使用大量的仿真進行評估，並與競爭算法進行比較，以顯示其在定義的度量方面的改進

    Effective management of Neighbour Cell List (NCL) in Mobile Networks can bring a significantly lower number of scanned and reported cells, provided by the User Equipment at intervals called Scanning period. Especially when a large number of Femtocells is deployed in the network, the NCL can be quite large and thus the UE must scan and report signal quality of many cells even if those are inappropriate for the handover. This can lead to the signalization overhead and reduce the time for the data transmission since this time is used for the neighbouring scanning instead. This thesis proposes an improvement of the existing SINR-based NCL reducing algorithm proposed in [1]. The improvement consists in the application of the SINR prediction for calculation of dynamic threshold used for the NCL reduction. The proposed solution was evaluated using extensive simulation and compared with competitive algorithms to show its improvement in terms of defined metrics.

    Chapter 1. Introduction 1 1.1 Motivation 1 1.2 Background 2 1.2.1 Home eNB 2 1.2.2 Neighbour Cell List 2 1.2.3 Handover 4 1.2.4 Signal to Noise plus Interference Ratio 6 1.2.5 Missing target cell 6 1.3 Existing Solutions 7 1.3.1 Algorithm to be improved 7 1.3.2 Other existing solutions 11 1.4 Thesis Organization 12 Chapter 2. System Model 13 2.1 General Principle of NCL reduction 13 2.2 Assumptions 17 2.3 Performance Metrics 18 2.3.1 Average number of scanned cells 18 2.3.2 Handover failure rate 19 2.3.3 Outage probability 19 2.3.4 Average SINR 20 2.4 List of Used Parameters 21 Chapter 3. Proposed Algorithm 22 3.1 Basic concept 23 3.2 Prediction of SINR 25 3.2.1 Linear Extrapolation 26 3.2.2 Quadratic Extrapolation 28 3.2.3 Cubic Spline Extrapolation 30 3.3 Restart of prediction 33 Chapter 4. Simulation scenarios and models 35 4.1 Simulation Parameters 35 4.2 Simulation area 36 4.3 Mobility model 37 4.4 Simulation Scenario 40 4.5 Algorithms for comparison 45 4.5.1 Full NCL algorithm 45 4.5.2 Handover history algorithm 45 4.5.3 Competitive SINR based algorithm 46 4.5.4 Proposed algorithm 46 Chapter 5. Evaluation of proposed algorithm 48 5.1 Prediction accuracy 48 5.2 Comparison of proposed algorithm with competitive algorithms 52 5.2.1 Average number of scanned cells 52 5.2.2 Handover Failure Rate 54 5.2.3 Outage Probability 55 5.2.4 Average SINR 57 Chapter 6. Conclusion and Future Works 59 Chapter 7. References 61

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