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姓名 賴昭君(Chao-chun Lai)  查詢紙本館藏   畢業系所 通訊工程學系
論文名稱 多使用者正交分頻系統之感知無線電網路資源配置研究
(Subcarrier and Power Allocation for Multiuser OFDM-based Cognitive Radio Systems)
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摘要(中) 將未被主要使用者占據的頻段分配給次使用者使用以增加頻譜的使用率,即為感知無線電(Cognitive Radio)技術的目的。本文所討論的問題即在以正交分頻多工(OFDM)上行傳輸的感知無線電系統中,提出如何配置子載波與功率給次使用者以達最大傳輸率的方法。但此前提必須滿足次使用者傳輸功率與對主使用者干擾量的限制條件,且額外限制了每根子載波傳輸功率的上限。此篇論文研究提出一個兩階段的方法。在初始階段裡提出一參數用來決定分配子載波與功率給次使用者的順序,此參數是由功率與干擾量所組合而成。為了更進一步提高傳輸率,第二階段的方法被提出,應用於第一階段之後。此提出的兩階段方法與已發表方法的性能表現將在模擬的章節中做比較。提出的兩階段方法相較於已發表的方法有較好的性能表現。
摘要(英) Cognitive radio (CR) technology is designed to enhance the frequency efficacy by allowing the secondary user to use the unoccupied frequency bands which belong to the primary user. A problem to maximize the transmission capacity of the secondary users subject to the power and mutual interference constraints in multiuser OFDM-based CR uplink systems is discussed in this thesis. A modulation order limitation on each subcarrier is also considered. The proposed two-phase scheme is designed based on the initial and iterative strategies. The initial allocation strategy is to assign subcarriers to users and allocate power to subcarriers by using a proposed indicator. The proposed indicator is composed of three portions which are related to the amount of power and interference. In order to further improve the performance, an iterative improvement approach is applied after the initial allocation strategy. In the simulation, the proposed allocation schemes outperform the existing schemes.
關鍵字(中) ★ 感知無線電
★ 資源配置
★ 正交分頻多工
關鍵字(英) ★ cognitive radio(CR)
★ subcarrier allocation
★ orthogonal frequency division multiplexing(OFDM)
★ power allocation
論文目次 論文摘要 i
Abstract ii
致謝 iii
Contents iv
List of Figures vi
List of Tables vii
Chapter1 Introduction - 1 -
1.1 Foreword - 1 -
1.2 Organization - 4 -
1.3 Abbreviations - 5 -
Chapter2 System Model and Problem Formulation - 6 -
2.1 Cognitive Radio (CR) network system - 6 -
2.2 Problem formulation - 9 -
2.3 Mutual interference - 12 -
2.3.1. Interference introduced by CR user’s signal - 12 -
2.3.2. Interference introduced by Primary user’s signal - 13 -
Chapter3 Proposed Subcarrier and Power Scheme - 15 -
3.1 Proposed two-phase scheme - 15 -
3.1.1. Initial Allocation strategy: - 15 -
3.1.2. Iterative Improvement Approach: - 21 -
3.1.3. The illustration of weighting factors - 26 -
3.2 Algorithm Illustration for [5-9] - 31 -
3.2.1 Minimum Power Increment Algorithm (MP) [5-6] - 31 -
3.2.2 Minimum Interference Increment Algorithm (MI) [5-6] - 32 -
3.2.3 Minimum Cost Increment Algorithm (MC) [6] - 33 -
3.2.4 Max-min algorithm [7-9] - 34 -
3.3 The complexity comparison - 35 -
Chapter4 Simulation results - 37 -
Chapter5 Conclusion - 46 -
REFERENCE - 47 -
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[4] T. A. Weiss and F. K. Jondral, “Spectrum pooling: an innovative strategy for the enhancement of spectrum efficiency,” IEEE Commun. Mag., vol.42, no.3, pp. S8-14, Mar. 2004.
[5] G. Ding, Q. Wu, N. Min, and G. Zhou, “Adaptive resource allocation in multi-user OFDM-based Cognitive Radio systems ,” Int. Conf. on Wireless Communication and Signal Processing , pp. 1-5, Nov. 2009.
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[12] G. Bansal, M. J. Hossain and V. K. Bhargava, “Optimal and suboptimal power allocation schemes for OFDM-based cognitive radio systems,” IEEE Trans. Wireless Commun., vol.7, no 11, pp. 4710-4718, Nov. 2008.
[13] C. Y. Wong, C. Y. Tsui, R. S. Cheng and K. B. Letaief, “A real-time sub-carrier allocation scheme for multiple access downlink OFDM transmission,” in Proc. IEEE Vehicular Technology Conf., vol. 2, pp. 1124-1128, Sep. 1999.
[14] Y. F. Chen and J. W. Chen, “A Fast Subcarrier, Bit, and Power Allocation Algorithm for Multiuser OFDM-Based Systems,” IEEE Trans. on Vehicular Technology, vol. 57, no 2, pp. 873-881, Mar. 2008.
[15] T. M. Cover and J. A. Thomas, Elements of Information Theory. New York: Wiley and Sons, 1991
指導教授 陳永芳(Yung-fang Chen) 審核日期 2010-7-24
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