感知無線電接取網路之頻譜挑選策略研究

以作者查詢圖書館館藏

、以作者查詢臺灣博碩士

、以作者查詢全國書目

、勘誤回報

、線上人數：84

、訪客IP：3.14.141.62

姓名

吳秉懋(Bing-Mao Wu) 查詢紙本館藏

畢業系所

通訊工程學系

論文名稱

感知無線電接取網路之頻譜挑選策略研究
(Study of Spectrum Selection Policy in Cognitive Radio Access Network)

相關論文

★ 應用MSPP至DWDM都會光纖網路的設計	★ 光網路與WiMAX整合架構研究及其簡化雛型實驗
★ 以Linux系統為基礎之NAT效能優化研究及其實作	★ 光波長劃分多工網路之路徑保護機制研究
★ 標籤交換網路下具有服務品質路由安排之研究	★ 以訊務相關性為基礎的整合性服務可調整QoS排程器之研究
★ 以群體播送支援IPv6環境下移動式網路連結更新之研究	★ 無線區域網路資源動態分配之效能研究
★ 在微觀移動環境下有效資源保留之路徑管理研究	★ 無線網路交握程序之預先認證方法分析與比較
★ 無線區域網路虛擬允入控制之研究	★ IPv6環境下移動網路之連結更新程序及其效能之研究
★ 具有限數量波長轉換節點的分波多工網路之群播波長分配與容量計算研究	★ 階層化行動式IPv6移動錨點選擇機制研究
★ 具高能量移動節點之叢集式感測網路效能研究	★ 預先註冊之快速換手階層化行動式IPv6研究

檔案

[Endnote RIS 格式]

[Bibtex 格式]

[相關文章]

[文章引用]

[完整記錄]

[館藏目錄]

[檢視]

[下載]

本電子論文使用權限為同意立即開放。
已達開放權限電子全文僅授權使用者為學術研究之目的，進行個人非營利性質之檢索、閱讀、列印。
請遵守中華民國著作權法之相關規定，切勿任意重製、散佈、改作、轉貼、播送，以免觸法。

摘要(中)

感知無線電設計的主要目的為增進頻譜的使用效率，因此如何有效挑選通道，便成為一個很重要的議題。一些相關研究提出了不同的方法，有依據通道剩餘時間、考量偵測錯誤機率、碰撞機率等方式，達到更好的頻譜使用率。但是這些已提出的方法卻沒有考慮到通道狀況的影響，Secondary User(SU) 的傳輸速率會受到通道狀況很大的影響，例如距離、多重路徑、遮蔽衰落等狀況。因此本論文將通道狀況納入考量，提出一個有系統的通道挑選方法。
本論文中， Fusion Center(FC) 被賦予收集 SU 偵測的資訊，藉由 FC所收集的資訊挑選適合 SU 的通道，在此提出兩類的挑選策略，集中式與分散式挑選策略。集中式挑選策略中，又分成兩種方法，考慮最大化個人傳輸速率與考慮系統吞吐量。分散式有三種通道選擇策略，包括無預先換手機制、考慮 PU 將出現之剩餘時間的預先換手機制，和考慮 PU 出現前是否能傳送完 Buffer 內資料的預先換手機制。藉由模擬結果顯示，所提出的方法皆比隨機挑選方法有更好的傳輸效能。

摘要(英)

The purpose of Cognitive Radio (CR) technology is to improve the spectrum utilization. Several literatures proposed different approaches, which include the spectrum sensing, detection of the appearance of primary user (PU), collision detection, the channel selection, etc., to improve CR performance. Among them, the effective channel selection is more important if there are many secondary users (SU) that contend limited spectrum holes. Furthermore, as the SU may have different channel condition in each channel and this issue shall also be carefully considered during channel selection for better transmission performance. Thus, the transmission rates of SUs will be greatly affected due to their channel condition, which may be caused by the environment distance, multipath, fading and so on. This thesis proposes a systematic method for channel selection by taking the channel condition into consideration.
In this thesis, the Fusion Center (FC) is equipped to collect information sensed by SUs. The proposed schemes assist SU to choose the appropriate channel by applying the collected information by FU. Both of the centralized and distributed channel selection strategies are proposed. The centralized channel selection strategy is further divided into two approaches: One is based on the maximization of individual transmission rate; and the other considers the maximization of system throughput. The distributed approach has three options for channel selection, including handoff scheme, pre-handoff scheme with the remaining time to the appearance of PU and pre-handoff scheme with the remaining time to clear the buffer before the appearance of PU. The experimental results show that the proposed methods present better performance when compare to that of the random selection scheme.

關鍵字(中)

★ 感知無線電
★ 頻譜挑選
★ 頻譜換手
★ 預先換手

關鍵字(英)

★ Pre-Handoff Scheme
★ Channel Selection
★ Cognitive Radio
★ Spectrum Handoff

論文目次

摘要 I
Abstract II
致謝 IV
目錄 V
圖目錄 VII
表目錄 IX
第一章緒論 - 1 -
1-1 研究背景 - 1 -
1-2 研究動機與目的 - 2 -
1-3 章節概要 - 4 -
第二章相關研究背景 - 5 -
2-1 感知無線電基本介紹 - 5 -
2-2 頻譜偵測 - 7 -
2-3 頻譜管理 - 9 -
2-4 頻譜換手 - 12 -
2-5 頻譜共享 - 15 -
2-6 相關文獻探討 - 17 -
第三章研究方法 - 20 -
3-1 系統架構 - 20 -
3-2 集中式 - 22 -
3-2-1 SU最大傳輸速率 - 24 -
3-2-2 系統最大Throughput - 25 -
3-3 分散式 - 25 -
3-3-1 分散式挑選通道方式 - 29 -
3-3-2 預估剩餘時間 - 29 -
3-3-3 預先換手 - 29 -
3-3-3-1 考慮 PU 出現之剩餘時間 - 32 -
3-3-3-2 考慮 PU 出現前是否能傳送完 Buffer 內資料 - 33 -
第四章模擬結果與討論 - 34 -
4-1 模擬環境 - 34 -
4-2 SU數量的影響 - 36 -
4-3 Mean of PU’s Sleep Time 的影響 - 45 -
4-4 Interval of Broadcast的影響 - 49 -
4-5 Duration Time of Pre-Handoff的影響 - 53 -
4-6 預估剩餘時間參數α的影響 - 54 -
4-7 公平性之探討 - 56 -
第五章結論與未來研究 - 58 -
參考資料 - 60 -

參考文獻

[1] 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, vol. 50, pp. 2127–2159, May 2006.
[2] S. Haykin, “Cognitive Radio: Brain-Empowered Wireless Communications,” IEEE Journal on Selected Areas in Communications, vol. 23, no. 2, pp. 201–220, Feb. 2005.
[3] I. F. Akyildiz, B. F. Lo, and R. Balakrishnan, “Cooperative Spectrum Sensing in Cognitive Radio Networks: A Survey,” Physical Communication, vol. 4, no. 1, pp. 40–62, March 2011.
[4] J. Zhang, Q. Zhang, “Stackelberg Game for Utility-based Cooperative Cognitive Radio Networks,”in Proc. of ACM MobiHoc, pp. 23–32, 2009
[5] E. Hossain, D. Niyato, and Z. Han, “Dynamic Spectrum Access and Management in Cognitive Radio Networks," New York, NY, USA: Cambridge University Press, 2009.
[6] Y.-C. Liang, Y. Zeng, E. Peh and A.T. Hoang, “Sensing-throughput Tradeoff for Cognitive radio Networks”, IEEE Transactions on Wireless Communications, Vol. 7, pp. 1326–1337, 2008.
[7] T. Yucek and H. Arslan, “A Survey of Spectrum Sensing Algorithms for Cognitive Radio Applications,” IEEE Communications Surveys & Tutorials, vol. 11, no. 1, pp. 116–130, 2009.
[8] FCC, “Et Docket no 03-237 Notice of Inquiry and Notice of Proposed Rulemaking,” FCC, Tech. Rep. 03–237, Nov. 2003.
[9] J. Jia, Q. Zhang, and X. S. Shen, “HC-MAC: A Hardware-constrained Cognitive MAC for Efficient Spectrum Management,” IEEE J. Sel. Areas Commun., vol. 26, no. 1, pp. 106–117, Jan. 2008.
[10] D. Willkomm, J. Gross, and A. Wolisz, "Reliable Link Maintenance in Cognitive Radio Systems," Proc. 1st IEEE DySPAN '05, Baltimore, MD , pp. 371–378, Nov. 2005.
[11] K. R. Chowdhury and I. F. Akyildiz, “OFDM-Based Common Control Channel Design for Cognitive Radio Ad Hoc Networks,” IEEE Trans. Mobile Comput., vol. 10, no. 2, pp. 228–238, Feb. 2011.
[12] Y. Zhang, “Spectrum Handoff in Cognitive Radio Networks: Opportunistic and Negotiated Situations,” in Proc. IEEE ICC, pp. 1–6, June 2009.
[13] Y. Song and J. Xie, “Common Hopping Based Proactive Spectrum Handoff in Cognitive Radio Ad Hoc Networks,” IEEE GLOBECOM, pp. 1–5, Dec. 2010.
[14] T.-S. Kim, H. Lim, and J. C. Hou, “Understanding and Improving the Spatial Reuse in Multihop Wireless Networks,” IEEE Trans. Mobile Comput., vol. 7, no. 10, pp. 1200–1212, Oct. 2008.
[15] Q. Zhao, S. Geirhofer, L. Tong, and B. M. Sadler, “Opportunistic Spectrum Access via Periodic Channel Sensing,” IEEE Trans. Signal Process., vol. 56, no. 2, pp. 785–796, Feb. 2008.
[16] G. Noh, J. Lee, and D. Hong, “Stochastic Multichannel Sensing for Cognitive Radio Systems: Optimal Channel Selection for Sensing with Interference Constraints,” IEEE Vehicular Technology Conference Fall, pp. 1-5, Sep. 2009.
[17] B. Wang, Y. Wu, and K. J. R. Liu, “Game Theory for Cognitive Radio Networks: An Overview,” Computer Networks(Elsevier), vol. 54, no. 14, pp. 2537–2561,Oct. 2010.
[18] Y. Song, Y. Fang, and Y. Zhang, “Stochastic Channel Selection in Cognitive Radio Networks,” IEEE GLOBECOM, pp. 4878–4882, Nov. 2007.
[19] L.C. Wang, C.-W. Wang, and F. Adachi, “Load-Balancing Spectrum Decision for Cognitive Radio Networks,” IEEE Journal on Selected Areas in Communications (JSAC),vol. 29, no. 4, pp. 757–769, April 2011
[20] L. Yang, L. Cao, and H. Zheng, “Proactive Channel Access in Dynamic Spectrum Networks,” Physical Communication (Elsevier), vol. 1, pp.103–111, June 2008.
[21] S.-U. Yoon and E. Ekici, “Voluntary Spectrum Handoff: A Novel Approach to Spectrum Management in CRNs,” IEEE International Conference on Communications (ICC), pp. 1–5 ,May 2010.
[22] Li-Chun Wang and Chung-Wei Wang, “Spectrum Handoff for Cognitive Radio Networks: Reactive-Sensing or Proactive-Sensing?,” IEEE IPCCC, pp. 343–348, 2008.
[23] B. Wang, Zhu Ji and K. J. Ray Liu, “Self-Learning Repeated Game Framework for Distributed Primary-Prioritized Dynamic Spectrum Access,” Networking Technologies for Software Define Radio Networks, 2007 2nd IEEE Workshop on, pp.1–8, June 2007.
[24] D. Niyato, E. Hossain, and Z. Han, “Dynamic Spectrum Access in IEEE 802.22-based Cognitive Wireless Networks: A game theoretic model for competitive spectrum bidding and pricing,” IEEE Trans. Wireless Communications, vol. 16, no. 2, pp. 16–23, Apr. 2009.
[25] R.W. Brodersen, A. Wolisz, D. Cabric, S.M. Mishra, D.Willkomm, “Corvus: a Cognitive Radio Approach for Usage of Virtual Unlicensed Spectrum," Berkeley Wireless Research Center (BWRC) White paper, 2004.
[26] H. Kim and K.G. Shin, “Efficient Discovery of Spectrum Opportunities with MAC-Layer Sensing in Cognitive Radio Networks," IEEE Trans. Mobile Comput., vol. 7, no. 5, pp.533–545, May 2008.
[27] ECMA Std. 392, “MAC and PHY for Operation in TV White Space,” Dec. 2009.
[28] H. Wu and Y. Peng, "Performance of Reliable Transport Protocol over IEEE 802.11 Wireless LAN: Analysis and Enhancement," IEEE INFOCOM 2001, vol. 2, pp. 599-607, Jun. 2002.

指導教授

陳彥文(Yen-Wen Chen)

審核日期

2011-7-26

推文