# 臺灣博碩士論文加值系統

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 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 11.1 Motivation and Background 11.2 Related Works 21.3 Research Goal 31.4 Organization of the Thesis 3Chapter 2 System Model of OFDMA 42.1 OFDM System in Mathematical Model 52.2 OFDMA System 122.2.1 OFDMA System Review 122.2.2 Resource Allocation Structure in OFDMA 122.2.3 Scalable OFDMA System 152.3 Channel Model 182.3.1 Jakes’ Fading Channel Model 182.3.2 IMT-2000 Channel Model 23Chapter 3 Resource Allocation Algorithm 253.1 Adaptive Resource Allocation Techniques 253.1.1 Adaptive Modulation and Coding (AMC) 263.1.2 Dynamic Subcarrier Allocation (DSA) 273.1.3 Adaptive Power Allocation (APA) 283.1.4 Challenges of Adaptive Techniques 283.2 DSA and AM algorithms 123.2.1 Dynamic Subcarrier Allocation 33A. Constructive Initial Allocation (CIA) 33B. Iterative Exchange (IE) 373.2.2 Adaptive Modulation with Finite State 42A. Maximum Throughput Algorithm 46B. Minimum SER Algorithm 48Chapter 4 Simulation Result and Performance analysis 494.1 Simulation Result of Maximum Throughput 514.2 Simulation Result of Minimum SER 584.3 Threshold Analysis 624.4 Multi-user Diversity Analysis 664.5 Simulation Result in Practical Situation 68Chapter 5 Conclusions 735.1 Conclusions 735.2 Future Works 73Reference 75