利用模糊邏輯控制器於蜂巢式網路降低位置管理機制成本

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姓名

林喬立(Chiao-Li Lin) 查詢紙本館藏

畢業系所

通訊工程學系

論文名稱

利用模糊邏輯控制器於蜂巢式網路降低位置管理機制成本
(Reducing Signaling Cost of Location Management in Cellular Network Using Fuzzy Logic Controller)

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摘要(中)

移動管理在行動網路中是重要的功能，其主要任務為掌握使用者的所在位置，當有通話時協助通知 (Paging) 用戶相關事件。為了明確掌握用戶的位置，每當用戶移動到新的基站範圍時，須對系統發送位置更新 (Tracking Area Update)的請求。高速移動的用戶勢必產生頻率較高的位置更新請求。目前行動通訊系統以群組基站範圍為大區域的方式降低用戶發送位置更新的成本，其缺點為通知時需讓整個區域內所有基站一起進行通知 (Paging)。因此，如何從位置更新的成本與通知用戶的成本中找到適合的網路規畫一直是有趣的研究課題。過去，移動管理成本的研究已有許多論文提出相關的研究成果，透過不同的機制優化移動管理的功能，例如依照使用者的特性動態地配置追蹤區域 (Tracking Area)。大多數研究圍繞於使用者移動特徵，而較少關注以使用者的通話行為模式。換言之，當使用者的通話頻率增加時才有可能對系統效能造成負面的影響，如何在使用者移動性與通話行為模式中找到平衡點正是本篇論文的目標。
本論文提出了一個位置管理機制的架構，將使用者的通話流量視為考量的因素，並依照使用者的特性配置專屬於該使用者的追蹤區域，利用參數估計以評估使用者的通話行為模式，配合使用模糊邏輯控制器將使用者的機動性以及通話行為模式作為輸入，經由評估後決定出適合於該使用者的追蹤區域。

摘要(英)

Mobility management is one of the major functions of cellular network. The aim of mobility management is to track the location of UE (User Equipment). When new call arrives, the cellular network has to determine the base station to page the UE according to its location. To do it, UE has to issue tracking area update (TAU) request to cellular network whenever it moves into range of new base station. It is a tradeoff between the paging cost and tracking area update cost. Regarding location management in PCS (Personal Communications Service) network, many location management methods have been proposed and they could be classified into several categories, distance based, time based, and movement based, all these methods consider only the mobility of UEs. The allocation of TA (Tracking Area) is based on the mobility characteristic of UEs. However, we found that the telephonic traffic is another potential factor, which may directly impact the performance rather than the mobility.
This thesis proposes an efficient scheme, which treats user′s telephonic traffic as an essential factor, to allocate proper TA for specific UE. We first estimate the parameter of telephonic traffic and then use fuzzy logic controller to decide size of tracking area. Based on it, we can find a TA allocation strategy to minimize the signaling cost of paging and TAU.

關鍵字(中)

★ 位置管理機制
★ 通話行為模式
★ 模糊邏輯控制器

關鍵字(英)

★ Location Management Mechanism
★ Telephonic Traffic Pattern
★ Fuzzy Logic Controller

論文目次

中文摘要 i
ABSTRACT ii
CONTENTS iv
LIST OF FIGURES v
1. INTRODUCTION 1
2. RELATED WORKS 4
2-1 Location Management Mechanism 4
2-2 Mobility Model 6
3. PROPOSED LOCATION MANAGEMENT MECHANISM 8
3-1 Proposed Mechanism Architecture 8
3-2 UE behavior pattern estimation 11
3-3 Fuzzy Logic Controller 13
4. EXPERIMENTAL RESULTS AND ANALYSIS 17
4-1 Experimental Environment Setup 17
4-2 Experimental Results 19
5. CONCLUSIONS 24
6. REFERENCES 25

LIST OF FIGURES
page
Figure. 1 1 RRC state transition in LTE with connected mode DRX [1] 2
Figure. 1 2 TAU procedure flow charts [2] 3
Figure. 1 3 Paging procedure flow charts 3
Figure. 2 1 Occurrence of TAU procedure 4
Figure. 2 2 Transition events in the self-organized TA mechanism [4] 5
Figure. 2 3 mobility model in a hexagonal cell topology [4] 7
Figure. 2 4 DTMC of mobility model with N cell rings 7
Figure. 3 1 Proposed location management mechanism 9
Figure. 3 2 EPS update type [8] 10
Figure. 3 3 RRC connection release [9] 11
Figure. 3 4 The growth of TA size 12
Figure. 3 5 Fuzzy Logic Controller 13
Figure. 3 6 Fuzzy Logic Controller Examples [11] 16
Figure. 4 1 simulation results of static TA with medium mobility (p=0.5) 20
Figure. 4 2 simulation results of static TA with high mobility (p=0.2) 20
Figure. 4 3 simulation results of static TA with low mobility (p=0.8) 21
Figure. 4 4 simulation results of mechanism performance with medium mobility (p=0.5) 22
Figure. 4 5 simulation results of mechanism performance with high mobility (p=0.2) 22
Figure. 4 6 simulation results of mechanism performance with low mobility (p=0.8) 23

LIST OF TABLES
page
Table 3 1 Fuzzy Inference Rules 15
Table 4 1 Experimental environment variables 19

參考文獻

[1] Irfan Ali, “LTE Location Management and Mobility Management”, October 2014
[2] A. Chandra and K. Mal, "Genetic algorithm based optimization for location update and paging in mobile networks", in Proceedings of 2004 Asian Applied Computing Conference (AACC), pp.222-231.
[3] 3GPP TS 23.401: "General Packet Radio Service (GPRS) enhancements for Evolved Universal Terrestrial Radio Access Network (E-UTRAN) access"
[4] J. Ferragut and J. Mangues-Bafalluy, “A self-organized Tracking Area List Mechanism for Large-scale Networks of Femtocells,” Parc Mediterrani de la Tecnol., IP Technol. Area - Centre Tecnol. de Telecomunicacions de Catalunya (CTTC), Barcelona, Spain
[5] Y. W. Chung, "Adaptive design of tracking area list in LTE," in Proc. WOCN, 2011.
[6] S. M. Razavi, D. Yuan, F. Gunnarsson, and J. Moe, "Exploiting tracking area list for improving signaling overhead in LTE," in Proc. IEEE VTC, 2010.
[7] Xian Wang et al.,” Modeling of tracking area list-based location update scheme in Long Term Evolution”, Proceedings of IEEE ICC ′14 , pp. 2325-2331.
[8] 3GPP TS 24.301: "Non-Access-Stratum (NAS) protocol for Evolved Packet System (EPS)"
[9] Lauro, “RRC connection Release”, lteuniversity.com/get_trained/expert_opinion1/b/
lauroortigoza/archive/2013/12/18/rrc-connection-release.aspx
[10] Gwo-Jong Yu, “A fuzzy adaptive DRX power saving mechanism for LTE-Advanced networks”, Network of the Future (NOF), 2013 Fourth International Conference on the, pp.1-5
[11] MathWorks (2015), “Fuzzy Inference Process”, Retrieved May 30, 2015, from www.mathworks.com/help/fuzzy/fuzzy-inference-process.html
[12] WolframMathWorld (2015), “Erlang Distribution”, Retrieved May 20, 2015, form http://mathworld.wolfram.com/ErlangDistribution.html

指導教授

許獻聰

審核日期

2015-7-29

推文