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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 張進福(Jin-Fu Chang) | |
| dc.contributor.author | Chien-Hsiung Chao | en |
| dc.contributor.author | 趙建雄 | zh_TW |
| dc.date.accessioned | 2021-06-13T01:14:50Z | - |
| dc.date.available | 2021-08-03 | |
| dc.date.copyright | 2011-08-04 | |
| dc.date.issued | 2011 | |
| dc.date.submitted | 2011-08-03 | |
| dc.identifier.citation | [1] Federal Communications Commission, “Spectrum Policy Task Force,” Rep. ET Docket no. 02-135, Nov. 2002.
[2] P. Kolodzy et al., “Next generation communications: Kickoff meeting,” In Proc. DARPA, Oct. 17, 2001. [3] Yang Xiao. Fei Hu, “Cognitive Radio Networks,” 2009. [4] M. McHenry, “Spectrum white space measurements,” June 200. Presented to New America Foundation Broadband Forum; Measurements by Shared Spectrum Company, http://newamerica.net/Download_Docs/pdfs/Doc_File_185_1.pdf. [5] S. Haykin, ” Cognitive radio: brain-empowered wireless communications,” IEEE Journal on Selected Areas in Communications 23, pp. 201-220, Feb 2005. [6] I.F. Akyildiz, W.-Y. Lee, M.C. Vuran and S. Mohanty,” Next generation/dynamic spectrum access/cognitive radio wireless networks: a survey,” Computer Networks 50, pp. 2127–2159, May 2006. [7] W. S. Lovejoy, “A survey of algorithmic methods for partially observed markov decision processes,” Annals of Operations Research vol. 28, pp. 47-66, Dec 1991. [8] R. D. Smallwood, E. J. Sondik, “The Optimal Control of Partially Observable Markov Processes over a Finite Horizon,” Operations Research, Oct, 1971. [9] See Wikipedia, Markov Decision Process, http://en.wikipedia/wiki/Markov_decision_process (as of July. 1, 2011, 12:00 GMT) [10] See Wikipedia, Partially Observable Markov Decision Process, http://en.wikipedia.org/wiki/Partially_observable_Markov_decision_process (as of July. 1, 2011, 12:00 GMT) [11] N. B Chang, M. Liu, “Optimal Channel Probing and Transmission Scheduling for Opportunistic Spectrum Access,” IEEE/ACM Transactions on Networking, vol.17, no. 6, Dec, 2009. [12] H. Urkowitz, “Energy detection of unknown deterministic signals,” Proceedings of the IEEE, vol. 55, no. 4, pp. 523-531, Apr1961. [13] Q. Zhao, L. Tong, A. Swami, and Y. Chan, “Decentralized Cognitive MAC for Opportunistic Spectrum Access in Ad Hoc Networks: A POMDP Framework,” IEEE Journal on Selected Areas in Communications, vol. 25, no. 3, pp.589-600, Apr 2007. [14] S. P. Herath, C.Tellambura, “Unified Approach for Energy Detection of Unknown Deterministic Signal in Cognitive Radio over Fading Channels,” in Proc. IEEE Global Communications Conf., New Orleans, U.S.A., Nov. 2008, pp.1-5. [15] H. Su, X. Zhang, “Power-Efficient Periodic Spectrum Sensing for Cognitive MAC in Dynamic Spectrum Access Networks”, WCNC, 2010. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/29685 | - |
| dc.description.abstract | 近年來由於無線通訊應用的發展迅速,有限的無線頻譜資源逐漸不足,然而根據調查顯示在部分區域的多數頻帶使用率卻是相當低落,因此一個新的技術—感知無線電被提出以解決現在頻譜不足以及頻譜使用率不平均的問題。然而感知無線電網路中仍然存在許多問題。在本篇論文中,我們將專注於在多通道的感知無線電網路環境中感知無線電使用者如何能快速的找到可用通道來傳輸資料、感知無線電使用者礙於偵測技術的不足,不能正確的得知主要使用者的狀態(佔用、閒置),不但常會因為錯誤的偵測對主要使用者造成干擾,更無法改善頻譜使用率低落的問題,以及感知無線電使用者如何利用有限的能量得到最大的效益。在本篇論文中,第一章我們將對感知無線電網路做一個簡單的介紹。在第二章中,我們會利用部分可觀測馬可夫決策程序提出一個動態通道選擇機制,使得感知無線電使用者能夠快速的找到一個可用通道。在第三章中,我們會先簡單的分析感知無線電使用者對主要使用者造成干擾的狀況,然後提出一個機制,使得感知無線電使用者能夠在一個干擾限制下存取主要使用者的頻譜。在第四章中,我們會提出一個節能導向的動態通道選擇機制使得感知無線電使用者有效的利用能源達到最大的效益。 | zh_TW |
| dc.description.abstract | In the recent years, lots of studies indicated that the ineffective usage of licensed bands due to the static spectrum allocation. In order to solve this problem, cognitive radio is therefore proposed to dynamically exploit the primary frequency spectrums when the frequency spectrum is not occupied by a user. In this paper, we will focus on three problems, the first one is the delay time when secondary users searching an unoccupied channel, the second one is the probability of secondary user colliding with primary users, and the third one is the energy efficiency of secondary users. There are four chapters in this paper. In the first chapter, we will introduce the cognitive radio networks. In the second chapter, a dynamic channel selection using partially observation Markov decision process (POMDP) is proposed to find an unoccupied channel in minimum delay time. In the third chapter, we will analysis the situations of secondary users colliding with primary users. Then, we will propose an algorithm that constrains the collision probability. In the fourth chapter, we will propose an energy efficiency dynamic channel selection that minimizes the power secondary users wasting. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-13T01:14:50Z (GMT). No. of bitstreams: 1 ntu-100-R98942131-1.pdf: 2478163 bytes, checksum: cce1799ca9f74f77efae4c224068e8d9 (MD5) Previous issue date: 2011 | en |
| dc.description.tableofcontents | 口試委員會審定書 #
誌謝 i 中文摘要 ii ABSTRACT iii CONTENTS iv LIST OF FIGURES vii LIST OF TABLES ix Chapter 1 緒論 1 1.1 前言 1 1.2 感知無線電網路(Cognitive Radio Network) 2 1.2.1 感知無線電系統架構 5 1.2.2 頻譜偵測(Spectrum sensing) 8 1.2.3 感知無線電系統品帶利用方式 13 1.3 研究動機 15 1.4 論文架構 16 Chapter 2 動態通道選擇於多通道感知無線電網路 ( Dynamic Channel Selection in Multi-Channel Cognitive Radio Network ) 18 2.1 系統架構 19 2.2 在感知無線電網路下傳統的通道選擇(Conventional Channel Selection in Cognitive Radio Network) 20 2.2.1 預先偵測的通道選擇(Pre-sensing Channel Selection) 20 2.2.2 後偵測的通道選擇(Post-sensing Channel Selection) 23 2.3 部分觀測馬可夫決策程序(Partially Observable Markov Decision Process, POMDP) 25 2.3.1 馬可夫決策程序(Markov Decision Process) 26 2.3.2 部分觀測馬可夫決策程序(Partially Observable Markov Decision Process) 28 2.4 動態通道選擇於多通道感知無線電網路 31 2.4.1 利用最佳化部分觀測馬可夫決策程序於動態通道選擇機制 32 2.4.2 利用低複雜度部分觀測馬可夫決策程序於動態通道選擇機制 37 2.5 模擬結果與討論 41 2.5.1 不同通道數量下的模擬與討論 41 2.5.2 在主要使用者不同平均出現時間下的模擬與討論 45 2.6 本章回顧與總結 49 Chapter 3 在一碰撞機率限制下的動態通道選擇於感知無線電網路(Dynamic Channel Selection in Cognitive Radio Network under a Collision Constraint) 51 3.1 感知無線電網路對主要用者的干擾限制 52 3.2 能量偵測(Energy Detection) 53 3.2.1 硬判決(Hard Decision)的能量偵測 53 3.2.2 軟判決(Soft Decision)的能量偵測 55 3.3 在動態通道選擇機制中對主要使用者的保護策略 57 3.3.1 感知無線電使用者對主要使用者造成干擾的各種狀況 57 3.3.2 對主要使用者碰撞概率的限制機制 59 3.4 模擬結果與討論 62 3.5 本章回顧與總結 65 Chapter 4 節能導向的動態通道選擇機制於感知無線電網路(Power-Efficient Dynamic Channel Selection in CRN) 67 4.1 一般的動態通道選擇機制 67 4.2 節能考量的動態通道選擇機制 68 4.3 模擬結果與討論 71 4.4 本章回顧與總結 74 Chapter 5 結論 76 5.1.1 研究貢獻 76 5.1.2 未來研究方向 78 REFERENCE 79 | |
| dc.language.iso | zh-TW | |
| dc.subject | 能量節省 | zh_TW |
| dc.subject | 感知無線電 | zh_TW |
| dc.subject | 部分可觀測馬可夫決策程序 | zh_TW |
| dc.subject | 通道選擇 | zh_TW |
| dc.subject | 碰撞限制 | zh_TW |
| dc.subject | Partially Observable Markov Decision Process | en |
| dc.subject | Power Saving | en |
| dc.subject | Collision Constraint | en |
| dc.subject | Cognitive Radio Networks | en |
| dc.subject | Channel Selection | en |
| dc.title | 動態通道選擇於感知無線電網路 | zh_TW |
| dc.title | Dynamic Channel Selection in Cognitive Radio Network | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 99-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 金力鵬(Le-Pond Chin),魏學文(Shyue-Win Wei) | |
| dc.subject.keyword | 感知無線電,部分可觀測馬可夫決策程序,通道選擇,碰撞限制,能量節省, | zh_TW |
| dc.subject.keyword | Cognitive Radio Networks,Channel Selection,Partially Observable Markov Decision Process,Collision Constraint,Power Saving, | en |
| dc.relation.page | 80 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2011-08-03 | |
| 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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|---|---|---|---|
| ntu-100-1.pdf 未授權公開取用 | 2.42 MB | Adobe PDF |
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