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系統識別號 U0002-1707201318124100
中文論文名稱 無線感知網路中具合作偵測頻道之媒體存取控制技術
英文論文名稱 A Cooperative Sensing MAC Protocol for Cognitive Radio Networks
校院名稱 淡江大學
系所名稱(中) 資訊工程學系碩士班
系所名稱(英) Department of Computer Science and Information Engineering
學年度 101
學期 2
出版年 102
研究生中文姓名 魏祺
研究生英文姓名 Chi Wei
學號 600410806
學位類別 碩士
語文別 中文
第二語文別 英文
口試日期 2013-05-31
論文頁數 71頁
口試委員 指導教授-張志勇
委員-陳裕賢
委員-陳宗禧
委員-張志勇
中文關鍵字 無線感知網路  媒體存取控制協定  多頻道  拉丁矩陣 
英文關鍵字 Cognitive Radio Network  MAC Protocol  Multi-Channel  Latin Square 
學科別分類 學科別應用科學資訊工程
中文摘要 無線感知網路(Cognitive Radio, CR) Technology為一創新的技術,其能有效率地提升計費頻帶的使用率。現存的計費頻道大多屬於多頻道的傳輸環境,而次級使用者(Secondary User, SU)如何在不影響優先使用者(Primary Users, PUs)的通訊之下,提昇計費頻道的利用率,將為本論文所要達到的目標。本論文擬在Cognitive Radio Networks (CRNs) 之環境中,提出一MAC通訊協定,稱為CS-MAC,其將解決SUs會面與頻寬資源浪費問題,使得各個SUs能在不影響PUs通訊的前提之下,進行資料傳輸。為了讓SUs能夠及時掌握PUs在計費頻道的通訊情況,本論文提出一Latin square based Sensing Schedule,讓任一個計費頻道在任一時間都有SUs進行頻道感測,並將感測結果傳送給擬傳送的SUs。實驗顯示,本論文的作法不僅能提昇計費頻帶的使用率,也能讓SUs掌握PUs在計費頻道的使用狀況。
英文摘要 Cognitive Radio (CR) Technology is an innovative technology for improving throughput of unlicensed band and the utilization of licensed band. To ensure that the licensed band can be fully utilized by SUs without interfering PUs, this paper proposes a cognitive radio MAC protocol, called CS-MAC which copes with the problems of rendezvous and packet collision. When the PU is detected, the proposed CS-MAC allows pair of SUs switches to another channel to continue the data exchange operation. A Latin Square based Sensing Schedule is further proposed to help SUs be timely aware the channel condition. Simulation results depicts that the proposed CS-MAC significantly improves the network performance in terms of the utilization of licensed bands and network throughput.
論文目次 目錄
圖目錄 V
表目錄 VII
第一章、簡介 1
第二章、相關研究 6
第三章、網路環境與問題假設 9
3.1 網路環境 9
3.2 問題描述 9
第四章、CS-MAC 頻道模型設計 15
第五章、THE PROPOSED CS-MAC PROTOCOL 21
5.1 CS-MAC 頻道模型之會面 21
5.2 Design of Control Period 22
A. Channel Condition Reporting Window (CCRW) 23
B. Receiver Declaration Window (RDW) 26
C. Home Negotiated Window (HNW) 29
D. Customer Negotiated Window (CNW) 33
5.3 Design of Data Period 34
第六章、Latin Square Based Sensing Schedule 36
第七章、CS-MAC’s State Diagram 40
第八章、實驗模擬及結果 43
8.1 模擬環境 43
8.2 模擬結果 44
第九章、結論 60
參考文獻 61
附錄-英文論文 64

圖目錄
圖 1. CS-MAC Channel Model 18
圖 2. CS-MAC Frame Structure 20
圖 3. Channel Condition Reporting Window (CCRW) 26
圖 4. Bitmap用法之示意圖 29
圖 5. Bitmap和Reservation Bitmap用法之示意圖 31
圖 6. When SUs are exchanging data in data period if PU appears 34
圖 7. Latin Squares 37
圖 8. Latin Square Based Sensing Schedule in CS-MAC 38
圖 9. State Diagram of CS-MAC 40
圖 10. 模擬場景中PU數量及位置的設定 44
圖 11. 固定式及隨機式PU出現於情境一時,採用三種相較協定的網路吞吐量效能。 48
圖 12. 固定式及隨機式PU出現於情境二時,採用三種相較協定的網路吞吐量效能。 51
圖 13. 固定式及隨機式PU出現於不同的模擬環境對於封包延遲時間的影響。 54
圖 14. PU出現的機率與時間長度對於網路吞吐量的影響 55
圖 15. SUs數量對於網路吞吐量的影響 (0-16秒:10個SUs,17-32秒:30個SUs,33-50秒:50個SUs) 56
圖 16. PU分散程度對於頻道之網路吞吐量影響 58
圖 17. Channels 數量對於packet collision rate的影響 59

表目錄
Table I. 相關研究比較表 8
Table II. 參數與符號定義表 10
Table III. 實驗參數 43
參考文獻 [1] Report of the Spectrum Efficiency Working Group, “Federal Communications Commission Spectrum Policy Task Force,” FCC, Nov. 2002.
[2] I. F. Akyildiz, B. F. Lo, and R. Balakrishnan, “Cooperative Spectrum Sensing in Cognitive Radio Networks: A survey,” ACM Journal of Physical Communication, vol. 4, no. 1, pp. 40-62, Mar. 2011.
[3] R. W. Thomas, D. H. Friend, L. A. Dasilva, and A. B. Mackenzie. “Cognitive Networks: Adaptation and Learning to Achieve End-to-End Performance Objectives,” IEEE Communications Magazine, vol. 44, no. 12, pp. 51-57, Dec. 2006.
[4] B. Wang, Y. Wu, and K. J. R. Liu, “Game theory for cognitive radio networks: An overview,” Computer Networks, vol. 54, no. 14, pp.2537-2561, Oct. 2010.
[5] S. Stotas, and A. Nallanathan, “On the Throughput and Spectrum Sensing Enhancement of Opportunistic Spectrum Access Cognitive Radio Networks,” IEEE Transactions on Wireless Comminications, vol. 11, no. 1, pp. 97–107, Jan. 2012.
[6] Ian F. Akyildiz, Won-Yeol Lee, and Kaushik R. Chowdhury, “CRAHNs: Cognitive Radio Ad Hoc Networks,” Ad Hoc Networks, vol. 7, no. 5, pp. 810-836, Jul. 2009.
[7] L. T. Tan and L. B. Le, “Distributed MAC Protocol for Cognitive Radio Networks: Design, Analysis, and Optimization,” IEEE Transactions on Vehicular Technology, vol. 60, no. 8, pp. 3990-4003, Oct. 2011.
[8] C. Gao, Y. Shi, Y. T. Hou, H. D. Sherali, and H. Zhou, “Multicast Communications in Multi-Hop Cognitive Radio Networks,” IEEE Journal on Selected Area in Communications, vol. 29, no. 4, pp. 784-793, Apr. 2011.
[9] W. S. Jeon, J. A. Han, and D. G. Jeong, “A Novel MAC Scheme for Multichannel Cognitive Radio Ad Hoc Networks,” IEEE Transactions on Mobile Computing, vol. 11, no. 6, pp. 922-937, Jun. 2012.
[10]L.T. Tan and L. B. Le, “Channel Assignment With Access Contention Resolution for Cognitive Radio Networks,” IEEE Transactions on Vehicular Technology, vol. 61, no. 6, pp. 2808-2823, Jul. 2012.
[11]W. S. Jeon, J. A. Han, and D. G. Jeong, “A Novel MAC Scheme for Multi-Channel Cognitive Radio Ad Hoc Networks,” IEEE Transactions on Mobile Computing, vol. 11, no. 6, pp. 922-934, Jun. 2012.
[12]J. Jia, Q. Zhang, and X. Shen, “HC-MAC: A Hardware-Constrained Cognitive MAC for Efficient Spectrum Management,” IEEE Journal on Selected Areas in Communications, vol. 26, no. 1, pp. 106-117, Jan. 2008.
[13]B. Hamdaoui, and K. G. Shin, “OS-MAC: An Efficient MAC Protocol for Spectrum-Agile Wireless Networks,” IEEE Transactions on Mobile Computing, vol. 7, no. 8, pp.915-930, Aug. 2008.
[14]M. Timmer, S. Pollin, A. Dejonghe, L. V. D. Perre, and F. Catthoor, “A Distributed Multichannel MAC Protocol forMultihop Cognitive Radio Networks,” IEEE Transactions on Vehicular Technonlogy, vol. 59, no. 1, pp.446-459, Jan. 2010.
[15]L. C. Lau, C. C. Lin, and S. Y. Wang, “An IEEE 802.11 Cognitive Radio MAC Protocol with Dynamic Bandwidth Allocation Capabilities,” IEEE WCNC, Apr. 2012.
[16]S. M. Kamruzzaman, “CR-MAC: A Multichannel MAC Protocol for Cognitive Radio Ad Hoc Networks,” International Journal of Computer Networks and Communications, vol. 2, no. 5, pp. 1-14, Sep. 2010.
[17]L. Le, “Practical Multi-Channel MAC for Ad Hoc Networks,” IEEE SECON, pp. 1-9, Jun. 2010.
[18]C. M. Chao, and H. Y. Fu, “Providing Complete Rendezvous Guarantee for Cognitive Radio Networks by Quorum Systems and Latin Squares,” IEEE WCNC, Apr. 2013.
[19]L. C. Bao, and S. H. Yang, “Latin Square Based Channel Access Scheduling in Large WLAN Systems,” IEEE WCNC, Mar. 2011.
[20]L. C. Bao, “MALS: Multiple Access Scheduling Based on Latin Squares,” IEEE MILCOM, 2004.
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