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研究生:顏世斌
研究生(外文):Shih-Bing Yan
論文名稱(外文):Dynamic Subcarrier Allocation and Adaptive Modulation with Finite State in Wireless OFDMA System
指導教授:林嘉慶林嘉慶引用關係
指導教授(外文):Jia-Chin Lin
學位類別:碩士
校院名稱:國立中央大學
系所名稱:通訊工程研究所
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:2008
畢業學年度:96
語文別:英文
論文頁數:77
中文關鍵詞:動態子載波分配可適性調變資源配置正交分頻多重存取正交分頻多工
外文關鍵詞:OFDMAOFDMresource allocationdynamic subcarrier allocationadaptive modulation
相關次數:
  • 被引用被引用:0
  • 點閱點閱:186
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  • 下載下載:9
  • 收藏至我的研究室書目清單書目收藏:0
現今的無線通訊應用越來越多,人們對於傳輸速率的要求也急速的上升,本篇論文提出一種適應性子載波分配的演算法,稱為”覆換式”演算法(Iterative Exchange algorithm),靠著反覆交換較好通道狀態的子載波,此演算法可以減少使用的子載波處在嚴重衰落的狀態,經由模擬結果得知,和建設性初始化分配演算法(Constructive initial allocation)和可適性調變演算法(Adaptive Modulation)合作,可以使效能得到顯著的改善;在本篇中,我們使用這三個演算法來達到:最大輸出率和最小符號錯誤率。根據模擬結果得知,當系統使用建設性初始化分配演算法(Constructive initial allocation)和可適性調變演算法(Adaptive Modulation)後,可以使輸出率得到顯著的提升,而使用本篇提出的覆換式演算法(Iterative Exchange algorithm)則能再加的改善符號錯誤率的問題
While more and more wireless application and devices are developed, the demand of transmission rate has been increasing rapidly. In this article, a dynamic subcarrier allocation algorithm called iterative exchange (IE) algorithm is proposed. IE algorithm is designed to avoid deep fading by exchanging the subcarrier with good channel condition. By combining construction initial (CIA) and adaptive modulation (AM) algorithms, the performance can be improved significantly by experiment simulation; These three algorithms are implemented to achieve two goals : maximum throughput (MT) and minimum SER (MSER). As the simulation results, system with CIA and AM algorithms can improve the throughput significantly and then combining the IE algorithm can refine the SER.
Chapter 1 Introduction 1
1.1 Motivation and Background 1
1.2 Related Works 2
1.3 Research Goal 3
1.4 Organization of the Thesis 3
Chapter 2 System Model of OFDMA 4
2.1 OFDM System in Mathematical Model 5
2.2 OFDMA System 12
2.2.1 OFDMA System Review 12
2.2.2 Resource Allocation Structure in OFDMA 12
2.2.3 Scalable OFDMA System 15
2.3 Channel Model 18
2.3.1 Jakes’ Fading Channel Model 18
2.3.2 IMT-2000 Channel Model 23
Chapter 3 Resource Allocation Algorithm 25
3.1 Adaptive Resource Allocation Techniques 25
3.1.1 Adaptive Modulation and Coding (AMC) 26
3.1.2 Dynamic Subcarrier Allocation (DSA) 27
3.1.3 Adaptive Power Allocation (APA) 28
3.1.4 Challenges of Adaptive Techniques 28
3.2 DSA and AM algorithms 12
3.2.1 Dynamic Subcarrier Allocation 33
A. Constructive Initial Allocation (CIA) 33
B. Iterative Exchange (IE) 37
3.2.2 Adaptive Modulation with Finite State 42
A. Maximum Throughput Algorithm 46
B. Minimum SER Algorithm 48
Chapter 4 Simulation Result and Performance analysis 49
4.1 Simulation Result of Maximum Throughput 51
4.2 Simulation Result of Minimum SER 58
4.3 Threshold Analysis 62
4.4 Multi-user Diversity Analysis 66
4.5 Simulation Result in Practical Situation 68
Chapter 5 Conclusions 73
5.1 Conclusions 73
5.2 Future Works 73
Reference 75
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