跳到主要內容

臺灣博碩士論文加值系統

(44.222.82.133) 您好!臺灣時間:2024/09/21 02:37
字體大小: 字級放大   字級縮小   預設字形  
回查詢結果 :::

詳目顯示

: 
twitterline
研究生:林群揚
研究生(外文):Chiun-Yang Lin
論文名稱:基於節點移動預測之通道分配演算法
論文名稱(外文):Algorithms of Channel Assignment Based on Mobility Prediction
指導教授:賴薇如賴薇如引用關係
指導教授(外文):Wei-RuLia
口試委員:林柏江蘇坤良
口試委員(外文):Po-ChiangLinKuen-LiangSue
口試日期:2012-7-26
學位類別:碩士
校院名稱:元智大學
系所名稱:通訊工程學系
學門:工程學門
學類:電資工程學類
論文種類:學術論文
畢業學年度:100
語文別:中文
論文頁數:57
中文關鍵詞:動態頻道分配感知無線電通道衝突預測使用者移動
外文關鍵詞:Dynamic Channel AssignmentCognitive RadioChannel CollisionMobility Prediction
相關次數:
  • 被引用被引用:0
  • 點閱點閱:237
  • 評分評分:
  • 下載下載:4
  • 收藏至我的研究室書目清單書目收藏:0
動態頻道分配(Dynamic Channel Assignment)是實現感知無線電(Cognitive Radio)概念中一項重要的工作。使用者量測所在位置的環境資訊,傳給系統端相關的資訊;系統端依據所獲得的頻譜監測資訊,找出空閒的無線電頻道,動態地分配頻道給使用者。由於使用者會移動,造成網路拓樸改變,造成原本使用相同頻道的使用者,因為移動至相鄰位置而產生干擾,降低傳輸效能,並需要更換新的通道。一旦發生通道衝突(Channel Collision)的情況,就是系統資源的浪費,系統就必須因應網路環境的變化重新計算以分配頻道。本論文利用預測使用者移動(Mobility Prediction)的資訊,來進行頻道的分配,盡可能降低通道衝突,服務最多的使用者,以增進頻譜的使用效率。透過對使用者移動歷史記錄的分析,預測使用者未來移動的位置。由於能得知未來的位置,當系統進行動態頻道分配時,不僅能在當下能使相鄰使用者不會使用相同頻道而產生干擾,也在可預測的期間內,避免干擾的發生。我們提出多種預測與頻道分配的演算法,說明系統架構和頻道分配與處理方式。我們對提出的頻道分配演算法進行模擬分析,驗證的確可減少系統重新分配頻道的機率,提升系統資源的有效利用。
Dynamic channel assignment is an important work in the concept of cognitive radio. Users measure the environmental information of their location and transmit the information to the system. System identifies idle channels and dynamically allocates channels to users according to the information of measurement. Because some users with same channel may move to the adjacent position in the future and interfere with each other, the transmission performance would decline and thus the communication would fail. When channel collisions happened, the system must reassignment channels to cope with the change of network environment. This paper presents some dynamic channel assignment algorithms based on mobility prediction to enhance the spectrum efficient and minimize channel collisions. System can predict the user’s future position according to their movement. If we can predict the future position of CR user, we can avoid channel collisions and interference of users in predictable period. We present channel assignment algorithms, illustrate system architecture and estimate the performance of these channel assignment approaches. Our simulation proves that the channel assignment algorithms can reduce the amount of system reassignment channels and enhance the utilization of system resources.
書名頁 i
論文口試委員審定書 ii
授權書 iii
摘 要 iv
ABSTRACT v
誌謝 vi
目錄 vii
表目錄 viii
圖目錄 ix
第一章 簡介 1
1.1 研究動機與目的 1
1.2 研究的目的與方法 3
1.3 論文架構 5
第二章 相關研究 6
2.1 異質網路系統 6
2.2 圖形著色問題 7
2.3 位置服務 9
第三章 建立移動模型 11
3.1 移動模型介紹 11
3.2 模擬軟體使用的移動模型 14
第四章 預測系統 17
4.1 記錄位置 17
4.2 預測演算法 20
4.3 預測演算法修正 23
4.4 預測系統流程 26
第五章 通道分配演算法 29
5.1 通道分配流程 29
5.2 通道分配順序 32
5.3 通道分配演算法 32
5.4 通道挑選 38
第六章 系統模擬與測試結果 41
第七章 結論 53
參考文獻 55
[1]Friedrich K. Jondral,“Cognitive Radio: A Communications Engineering View” IEEE Wireless Communications, vol. 14, pp. 28-23, August 2007.
[2]Ian F. Akyildiz, Won-Yeol Lee, Mehmet C. Vuran and Shantidew Mohanty, “NeXt generation/dynamic spectrum access/cognitive radio wireless networks: A survey,” Computer Networks, vol. 50, pp. 2127–2159, July 2006.
[3]Kang G. Shin, Hyoil Kim, Alexander W. Min, and Ashwinikumar, “Cognitive Radios For Dynamic Spectrum Access: From Concept to Reality,” IEEE Wireless Communications, pp. 64–74, Dec. 2010.
[4]Ekram Hossain, Dusit Niyato and Zhu Han. “Dynamic Spectrum Access and Management in Cognitive Radio Networks,” Cambridge University Press, 2009.
[5]Alexander M. Wyglinski, Maziar Nekovee and Y. Thomas Hou. “Cognitive Radio Communications and Networks: Principles and Practice,” Academic Press, 2010.
[6]Carlos Cordeiro, Kiran Challapali, Dagnachew Birru, and Sai Shankar N,“IEEE 802.22: An Introduction to the First Wireless Standard based on Cognitive Radios,”Journal of Communications, vol. 1, pp. 38-47, April 2006.
[7]D. Wright, "Dynamic spectrum access in the IEEE 802.22 wireless regional area network,"presented at the Access Networks &; Workshops, 2007. AccessNets '07. Second International Conference, pp. 1-6, 2007.
[8]Fabrizio Granelli et al., “Standardization and Research in Cognitive and Dynamic Spectrum Access Networks: IEEE SCC41 Efforts and Other Activities,” IEEE Communications Magazine, vol. 1, pp.71-79, January 2010.
[9]IEEE 1900.4. “Architectural Building Blocks Enabling Network-Device Distributed Decision Making for Optimized Radio Resource Usage in Heterogeneous Wireless Access Network”. IEEE Standards Coordinating Committee 41 on Dynamic Spectrum Access Networks. 27 February 2009.
[10]R. Venkatesha Prasad, Przemyslaw Pawelczak, James A. Hoffmeyer, and H. Steven Berger, "Cognitive Functionality in Next Generation Wireless Networks: Standardization Efforts," IEEE Communications Magazine, vol. 46, pp. 72-78, April 2008.
[11]K.C. Chen, Y.J. Peng, N. Prasad, Y.C. Liang, and S. Sun,” Cognitive Radio Network Architecture: Part I - General Structure,” international conference on Ubiquitous information management and communication, pp. 114-119, 2008.

[12]Jensen T.R, and B. Toft,”Graph Coloring Problems,”Inter Science Wiley,1995.
[13]Li Zheng, Hoang, D.B. ,“Applying graph coloring in resource coordination for a high-density wireless environment,” Applying graph coloring in resour ce coordination for a high-density wireless environment , pp. 664- 669, July 2008.
[14]Jia-Ming Lin, and Wei-Ru Lai, “Applying the Algorithms of Graph Coloring Problem in Dynamic Channel Assignment,” Yuan Ze University, July 2010.
[15]Moe Z. Win, Andrea Conti, Santiago Mazuelas, Yuan Shen, Wesley M. Gifford, Davide Dardari, and Marco Chiani,” Network Localization and Navigation via Cooperation,” IEEE Communications Magazine, vol. 46, pp. 56-62, May 2011.
[16]Hung-Chin Jang , and Hsiang-Te Huang ,” Moving Direction Based Greedy routing algorithm for VANET,” International Computer Symposium (ICS), pp. 535-540,December 2010.
[17]Kai Zhang , Guorong Zhao and Jing Jiang, “Particle swarm optimization method for resource-constrained project scheduling problem,” Electronic Measurement &; Instruments, 2009. ICEMI '09. 9th International Conference, pp. 4-792-4-796, Aug. 2009.
[18]I. Butun, A. Cagatay Talay,D. Turgay Altilar, M.Khalid, and R. Sankar, “Impact of mobility prediction on the performance of Cognitive Radio networks,” Wireless Telecommunications Symposium (WTS), pp. 1-5, 2010.
[19]Jinsu Wang, Sharad Mehrotra, and Nalini Venkatasubramanian,“PBCA - Prediction Based Channel Allocation,”IEEE Global Telecommunications Conference, 2007, pp. 4801-4806, Nov. 2007.
[20]N. Meghanathan,“Prediction Based Routing Protocol for Mobile Ad Hoc Networks,” IEEE Global Telecommunications Conference, vol. 49, pp. 56-62, May 2011.
[21]Tracy Camp, Jeff Boleng and Vanessa Davies. “A Survey of Mobility Models for Ad Hoc Network Research”. Dept. of Math. and Computer Sciences Colorado School of Mines, Golden, CO, September 2002.
[22]C. Cheng, R. Jain, and E. van den Berg, ”Location prediction algorithms for mobile wireless systems,” Wireless internet handbook: technologies, standards, and application, pp. 245-263, September 2003.
[23]Y. Yuan, L. Huang, Y. Tang, D.J. Deng, and D.C. Huang,” Improved markov predictor in wireless networks,” Institution of Engineering and Technology Communications, vol. 5, pp. 1823-1828, September 2011.
[24]Libo Song, David Kotz, Ravi Jain, and Xiaoning He,” Evaluating Next-Cell Predictors with Extensive Wi-Fi Mobility Data,” IEEE Transactions Mobile Computing, vol. 5, pp. 1633-1649,December 2006.
[25]張鎮華, “完美圖,”數學傳播十七卷四期. 民82年12月
[26]M.C.Golumbic,”Algorithmic Graph Theory and Perfect Graphs,” Academic Press, 1980.
連結至畢業學校之論文網頁點我開啟連結
註: 此連結為研究生畢業學校所提供,不一定有電子全文可供下載,若連結有誤,請點選上方之〝勘誤回報〞功能,我們會盡快修正,謝謝!
QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top