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博碩士論文 etd-0015114-105309 詳細資訊
Title page for etd-0015114-105309
Channel Reservation and Preemption Models for Cellular Networks with Overlapping Regions
Year, semester
Number of pages
Advisory Committee
Date of Exam
Date of Submission
multiple sectors, channel reservation, preemption, blocking probability, embedded cellular networks, Markov chains, dropping probability
本論文已被瀏覽 6025 次,被下載 647
The thesis/dissertation has been browsed 6025 times, has been downloaded 647 times.
因為蜂巢式網路系統具有高可靠性、穩定性與普遍性等特點,所以在個人行動通訊領域正進入蓬勃發展的階段。但是當行動通訊裝置增加時,可用通道可能會不敷使用,因此,本論文於具有重疊區域的蜂巢式網路,提出了兩種演算法:應用於小蜂巢嵌入於大蜂巢式網路(Small-Cell Embedded Large-Cellular, SCELC)的適應性通道侵占(Adaptive Channel Preemption, ACP)演算法,以及應用於區塊型蜂巢式網路(Sector-Based Cellular Networks, SBCN)的通道保留與侵占(Channel Reservation and Preemption, CRP)演算法。
一個小蜂巢嵌入於大蜂巢式網路是由一個涵蓋範圍較大的固定式基地台(Fixed Base Station, FBS)與涵蓋範圍較小的嵌入式基地台(Embedded Base Stations, EBS)所構成,藉由增加嵌入式基地台的個數,ACP演算法可降低新連線的中斷機率。另外,ACP演算法允許換手連線侵占位於嵌入式基地台涵蓋範圍內,或兩個固定式基地台重疊區域內正在進行通訊的連線。我們提出一個馬可夫鏈模型以探討在一個固定式基地台內部署一或多個嵌入式基地台時,新連線的中斷機率與換手連線的失敗機率之間的關係。另一方面,當區塊型蜂巢式網路中某一區塊的可用通道用罄之後,CRP演算法將允許換手連線侵占位於兩個區塊,或兩個蜂巢式網路的重疊區域內且正在進行通訊的連線,以降低換手連線失敗機率,而此被侵占的連線將可換手至另外一個區塊的方向型天線,或另外一個蜂巢式網路的基地台以保持連線不中斷。我們也提出一個馬可夫鏈模型來分析當區塊間的行動通訊裝置非均勻分布時,通道保留與侵占演算法對區塊間換手連線失敗機率的影響。
In this dissertation, we present two channel preemption algorithms for cellular networks with overlapping regions; adaptive channel preemption (ACP) algorithm for small-cell embedded large-cellular (SCELC) networks and channel reservation and preemption (CRP) algorithm for sector-based cellular networks (SBCN). An SCELC network consists of a fixed base station (FBS) with large coverage and many embedded base stations (EBS) with relatively small coverage. In an SCELC network, we consider two aspects of dynamically allocating channels. First, by increasing one or more EBS cells within an FBS cell, the proposed ACP can reduce blocking probability of new calls. Second, to reduce dropping probability of handoff calls, the proposed ACP allows a handoff call to preempt an ongoing call, when the latter is located in an EBS cell or in the overlapping area of two adjacent FBS cells. An analytical model to analyze ACP is built and numerical results reveal that embedding one or more EBS cells inside an FBS cell needs to be done carefully, since it may have a tradeoff between the reduction of new-call blocking probability and the increase of handoff-call dropping probability. On the other hand, CRP algorithm is proposed for SBCN to reduce the dropping probabilities of handoff calls. Specifically, when free channels in a sector are not available, a handoff call, instead of being dropped, is allowed to preempt an ongoing call residing in the overlapping region of two adjacent sectors or two neighbor cells. An analytical model to analyze CRP is built and analytical results show that the proposed CRP can significantly reduce the dropping probabilities of inter-sector handoff calls, particularly when traffic between two sectors is not evenly distributed.
目次 Table of Contents
誌 謝 ii
摘 要 iii
Abstract iv
Table of Contents v
List of Figures vii
List of Tables ix
Chaper 1 Introduction 1-1
1.1 Motivation 1-1
1.2 Approaches 1-3
1.3 Contribution 1-4
1.4 Organization 1-4
Chaper 2 Literature Review 2-1
2.1 Channel Reservation and Preemption Mechanism 2-1
2.2 A Large Cellular Network Containing Smaller Cells 2-2
2.3 Investigation on Sector-Based Cellular Networks 2-4
Chaper 3 Adaptive Channel Preemption for Small-Cell Embedded Large-Cellular Networks 3-1
3.1 The Adaptive Channel Preemption Model and Algorithm 3-1
3.2 Analytical Model of the ACP Model 3-5
3.2.1 Model Assumptions 3-6
3.2.2 Markov Chains 3-7
3.2.3 Performance Metrics 3-13
3.3 Analytical and Simulation Results 3-16
3.3.1 Simulation Model 3-16
3.3.2 Mobility Model 3-17
3.3.3 Analytical and Simulation Results 3-18
3.3.4 Time Complexity Analysis 3-26
3.3.5 Analysis of Intra-handoff Cost 3-26
Chaper 4 A Channel Reservation and Preemption Model in Sector-Based Cellular Networks 4-1
4.1 The Channel Reservation and Preemption Model 4-1
4.1.1 Sector-based Cellular Networks 4-1
4.1.2 Frequency Reuse 4-2
4.1.3 Channel Preemptions 4-4
4.2 Performance Evaluation Model 4-7
4.2.1 Model Assumptions 4-7
4.2.2 Markov Chains 4-9
4.2.3 Performance Metrics 4-14
4.3 Numerical Simulation and Discussion 4-18
Chaper 5 Conclusions and Future Works 5-1
5.1 Conclusions 5-1
5.2 Future Works 5-2
References 6-1
Index 7-1
Publication List and Working Experiences 8-1
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