感知無線電網路之正交分頻多重接取系統之資源配置

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研究生：	莊恂諭 Syun-Yu Chuang
論文名稱：	感知無線電網路之正交分頻多重接取系統之資源配置 Resource Allocation in OFDMA-Based Cognitive Radio Networks
指導教授：	陳永芳 Yung-Fang Chen
口試委員:
學位類別：	碩士 Master
系所名稱：	資訊電機學院 - 通訊工程學系 Department of Communication Engineering
畢業學年度：	97
語文別：	英文
論文頁數：	71
中文關鍵詞：	資源配置
外文關鍵詞：	resource allocation
相關次數：	點閱：9 下載：0
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感知無線電(Cognitive Radio)技術是一個創新的無線電設計，主要目的是使用未被主使用者使用的頻段來增加頻譜使用的效率，避免造成浪費。正交分頻多工存取(OFDMA)被建議使用在感知無線電網路系統上。這篇論文我們最主要是討論在下行傳輸，在對主使用者干擾的限制條件下如何讓次使用者的通道容量最大。本論文將會提出兩個方法，與[6]中的方法以及傳統的方法做比較。模擬結果表現，我們提出的方法在有限的干擾下可以達到比其他方法更高的傳輸率。

Cognitive radio (CR) technology is an innovative radio design philosophy which aims to improve spectrum utilization by employing unused spectrum in dynamically changing environments. Orthogonal frequency division multiple access (OFDMA) has been suggested as a potential access scheme for CR systems.The downlink transmission capacity of the CR user is thereby maximized, while the interference introduced to the primary user (PU) remains under a specific threshold. We propose two schemes . The performance of proposed scheme is compared with the performance of classical schemes.Presented numerical results show that for a given interference threshold the proposed scheme allows the CR users to transmit more power in order to achieve higher transmission rate than the classical schemes.

論文摘要	I
Abstract	II
致謝	III
Contents	IV
List of Figures	V
List of Tables	VII
Chapter 1 Introduction	1
Chapter 2 System Model	4
2.1 OFDM	4
2.2 OFDMA	7
2.3 COGNITIVE RADIO NETWORKS	9
Chapter 3 Problem Formulation and Proposed Schemes	16
3.1 Problem Formulation	16
3.2 Proposed Schemes	27
Chapter 4 Simulation Results	44
Chapter 5 Conclusions	61
References	62

                                

[1] Shridhar Mubaraq Mishra , Danijela Cabric, Chen Chang, Daniel Willkomm, Barbara van Schewick, Adam Wolisz and Robert W. Brodersen, “A real time cognitive radio testbed for physical and link layer experiments,” in Proc. IEEE Int. Symposium on Dynamic Spectrum Access Networks (DySPAN’ 05), pp. 562-567, Nov. 2005.
[2] Federal Communications Commission, “Spectrum Policy Task Force,” Rep. ET Docket no. 02-135, Nov. 2002.
[3] Simon Haykin,” Cognitive radio: brain-empowered wireless communications,” IEEE J. Selec. Areas Commun, vol.23, No.2 ,pp.201–220, February 2005.
[4] Timo A. Weiss and Friedrich K. Jondral,” Spectrum pooling: An innovative strategy for the enhancement of spectrum efficiency,” IEEE Commun. Mag., vol.43,no. 3,pp.S8–S14, Mar 2004.
[5] Timo A. Weiss, J. Hillenbrand, A. Krohn, and Friedrich K. Jondral, “Mutual interference in OFDM-based spectrum pooling systems,” in Proc. IEEE Vehicular Technol. Conf. (VTC’04), vol. 4, pp. 1873-1877, May 2004.
[6] Gaurav Bansal, Md. Jahangir Hossain, and Vijay K. Bhargava,” Optimal and Suboptimal Power Allocation Schemes for OFDM-based Cognitive Radio Systems” IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, VOL. 7, NO. 11, NOVEMBER 2008

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