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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 林宗男 | |
| dc.contributor.author | Zhong-Chao Li | en |
| dc.contributor.author | 李中超 | zh_TW |
| dc.date.accessioned | 2021-06-16T23:30:44Z | - |
| dc.date.available | 2012-08-01 | |
| dc.date.copyright | 2012-08-01 | |
| dc.date.issued | 2012 | |
| dc.date.submitted | 2012-07-27 | |
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| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/65222 | - |
| dc.description.abstract | During the last decade, there has been tremendous growth in cellular networks market. The number of subscribers and the demand for cellular traffic has escalated astronomically. Such unprecedented growth in cellular industry has pushed the limits of energy consumption in wireless networks. Furthermore, base stations (BSs) consume more than 50 percent of the power of a cellular network. Thus, reducing
the power consumption of BSs is crucial to green cellular networks. In LTE-Advanced cellular networks, a BS may transmit signal on multiple component carriers (CCs) with different power. In this work, we consider the problem that finding a nearly optimal CC selection pattern for all BSs which could satisfy all of the QoS constraints of UEs with minimum power consumption of BSs. We will show that it could be formulated as a mixed integer nonlinear programming (MINLP) optimization problem which is always hard to solve. Combining the concepts of interior point method and particle swarm optimization, we propose a novel method for solving our problem. Simulation results show that the solution solved by proposed method is not only nearly optimal but consumes less power than the compared method. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-16T23:30:44Z (GMT). No. of bitstreams: 1 ntu-101-R99942116-1.pdf: 3490408 bytes, checksum: 9353b2654d64379510c6bc67fc00c5bf (MD5) Previous issue date: 2012 | en |
| dc.description.tableofcontents | List of Figures iii
List of Tables v 1 Introduction 1 2 Background Information And Related Work 3 2.1 LTE-Advanced . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 2.2 Carrier Aggregation (CA) . . . . . . . . . . . . . . . . . . . . . . 4 2.3 Autonomous Component Carrier Selection (ACCS) . . . . . . . . 7 2.4 Mixed Integer Nonlinear Programming Problem (MINLP) . . . . 12 2.5 Related Work . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 3 Problem Formulation 15 3.1 LTE-Advanced Cellular Network . . . . . . . . . . . . . . . . . . . 15 3.2 Downlink Throughput of LTE-Advanced . . . . . . . . . . . . . . 20 3.3 Original Problem . . . . . . . . . . . . . . . . . . . . . . . . . . . 21 3.4 MINLP Problem . . . . . . . . . . . . . . . . . . . . . . . . . . . 24 3.5 NLP Problem . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25 4 Evolutionary Particle Swarm Optimization 28 4.1 Particle Swarm Optimization . . . . . . . . . . . . . . . . . . . . 28 4.2 Finding Initial Points . . . . . . . . . . . . . . . . . . . . . . . . . 33 4.3 Interior Point Method . . . . . . . . . . . . . . . . . . . . . . . . 35 4.3.1 Barrier Function . . . . . . . . . . . . . . . . . . . . . . . 36 4.3.2 Duality Gap . . . . . . . . . . . . . . . . . . . . . . . . . . 38 4.3.3 Newton’s method . . . . . . . . . . . . . . . . . . . . . . . 39 4.3.4 Interior Point Method . . . . . . . . . . . . . . . . . . . . 40 4.4 Evolutionary Particle Swarm Optimization . . . . . . . . . . . . . 40 5 Simulation Result 43 5.1 A Simple Scenario And Its Simulation Result . . . . . . . . . . . 43 5.2 Simulation Environment . . . . . . . . . . . . . . . . . . . . . . . 45 5.3 Mobility Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47 5.4 Simulation Result . . . . . . . . . . . . . . . . . . . . . . . . . . . 47 6 Conclusions 53 Bibliography 54 | |
| dc.language.iso | en | |
| dc.subject | 載波聚合 | zh_TW |
| dc.subject | 粒子群最佳化 | zh_TW |
| dc.subject | 功率控制 | zh_TW |
| dc.subject | 資源分配 | zh_TW |
| dc.subject | 先進長期演進技術 | zh_TW |
| dc.subject | LTE-Advanced | en |
| dc.subject | carrier aggregation | en |
| dc.subject | power control | en |
| dc.subject | resource allocation | en |
| dc.subject | particle swarm optimization | en |
| dc.title | 一種針對LTE-Advanced蜂巢式網路之資源分配的演進式方法 | zh_TW |
| dc.title | An Evolutionary Approach for Resource Allocation in LTE-Advanced Cellular Network | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 100-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 廖婉君,蔡子傑,陳俊良 | |
| dc.subject.keyword | 先進長期演進技術,載波聚合,功率控制,資源分配,粒子群最佳化, | zh_TW |
| dc.subject.keyword | LTE-Advanced,carrier aggregation,power control,resource allocation,particle swarm optimization, | en |
| dc.relation.page | 57 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2012-07-30 | |
| dc.contributor.author-college | 電機資訊學院 | zh_TW |
| dc.contributor.author-dept | 電信工程學研究所 | zh_TW |
| 顯示於系所單位： | 電信工程學研究所 | |
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