跳到主要內容

臺灣博碩士論文加值系統

(44.210.99.209) 您好!臺灣時間:2024/04/15 16:25
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:廖士鋐
研究生(外文):Liao, Shihhung
論文名稱:在具非連續正交分頻多工的感知無線電隨意行動網路之頻譜認知繞徑協定
論文名稱(外文):A Spectrum-Aware Routing in DOFDM-Based Cognitive Radio Ad-Hoc Networks
指導教授:陳裕賢陳裕賢引用關係
指導教授(外文):Chen, Yuhshyan
口試委員:陳宗禧張志勇許智舜莊東穎陳裕賢
口試委員(外文):Chen, TzungshiChang, ChihyungHsu, ChihshunJuang, TongyingChen, Yuhshyan
口試日期:2011-07-26
學位類別:碩士
校院名稱:國立臺北大學
系所名稱:資訊工程學系
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2011
畢業學年度:99
語文別:英文
論文頁數:46
中文關鍵詞:感知無線電繞徑協定非連續正交分頻多工感知隨意行動網路
外文關鍵詞:Cognitive radioRoutingDOFDMCognitive ad-hoc networks
相關次數:
  • 被引用被引用:0
  • 點閱點閱:164
  • 評分評分:
  • 下載下載:0
  • 收藏至我的研究室書目清單書目收藏:0
隨著無線網路技術快速的演進,人們對無線電頻譜的需求大幅度的增加,導致現有的頻譜資源變得越來越匱乏,但頻譜資源缺乏的原因並非來自頻譜資源的不足,而是頻譜的利用率不高。近幾年感知無線電技術的發展,使得這些未被利用的頻段能夠更有效率被使用,因此感知無線電已被視為未來無線通訊中相當重要的一項技術。由於在多跳感知無線電網路中,未授權的使用者 (又稱作次要使用者) 都是暫時借用空閒的授權頻帶來進行傳輸,這些授權頻帶隨時都有可能要歸還給授權使用者(稱作主要使用者),所以相較於傳統網路,多跳感知無線電網路環境中次要使用者的傳輸可能會因為主要使用者的活動情形而影響傳輸效率,因此在制定路由機制時必須詳加考慮可能影響傳輸效率的各項因素。在本篇論文中,我們在一個具非連續正交分頻多工的感知無線電隨意行動網路中提出了一個新的路由演算法,此路由演算法是以預期總傳輸時間作為挑選路徑的依據,分別先計算各鏈路的預期總傳輸時間後,在挑選出具有最短預期總傳輸時間的路徑。系統的分析與模擬的實驗結果,可以證明本論文提出的路由協定能夠有效的提升傳輸效能以及降低資料所需的傳輸時間。
With the rapid development of the ICT (Information and Communication Technology) technology, the demand for dynamically radio spectrum resources has significantly increased and attentions. The low utilization of licensed spectrum leads to the scarcity of the spectrum resource. The emerging cognitive radio (CR) systems become increasingly important in the wireless communication. In cognitive radio ad-hoc networks, unlicensed users (called secondary users, SUs) communicates with other CR users through an ad-hoc connection on licensed spectrum bands, but spectrum bands may be unexpectedly preempted by licensed users (called primary users, PUs) at any time. The design of routing protocol for cognitive radio ad-hoc network must consider problems of the dynamic spectrum sensing, management, sharing, and mobility caused by re-appearing of PUs. In this thesis, we developed a new spectrum-aware routing protocol for DOFDM-based cognitive radio ad-hoc networks by using the concept of the minimum expected total transmission time. With calculating the expected total transmission time of all possible paths, a route with the smallest expected total transmission time is selected and constructed. Finally, simulation results illustrate the proposed routing protocol significantly reduces the total transmission time and improves the throughput.
1 Introduction 1
2 Related Work 4
2.1 Related Work 4
2.2 Motivation 6
3 Preliminaries 7
3.1 System Model 7
3.2 Problem Formulation 11
3.3 Basic Idea 11
4 Spectrum-Aware Routing with Minimum Expected Total Transmission Time 18
4.1 Phase I: Environment Observation 19
4.2 Phase II: Computation and Analysis 23
4.3 Phase III: Route Discovery 28
5 Performance Analysis 31
6 Simulation Results 34
6.1 Total Transmission Time 36
6.2 Throughput 37
6.3 End-to-End Delay 38
6.4 Number of Spectrum Mobility 39
6.5 Computation Time 39
7 Conclusions 41
8 Acknowledgment 42
[1] FCC, “Spectrum Policy Task Force,” ET Docket 02-135, November 2002.
[2] S. Haykin, “Cognitive radio: brain-empowered wireless communications,” IEEE Journal on Selected Areas in Communications, vol. 23, pp. 201, 220.
[3] B. Wang, K. J. Ray Liu, “Advances in Cognitive Radio Networks: A Survey,” IEEE Journal of Selected Topics in signal processing, vol. 5, pp. 5-23, 2011.
[4] M. Nekovee, “Cognitive Radio Access to TV White Spaces: Spectrum Opportunities, Commercial Applications and Remaining Technology Challenges,” IEEE Symposium on New Frontiers in Dynamic Spectrum (DYSPAN 2011), 6-9 April. 2010.
[5] L. Zhang, G. Zheng, “Adaptive QoS-Aware Channel Access Scheme for Cognitive Radio networks,” International Journal of Ad Hoc and Ubiquitous Computing, Vol. 6, No.3, pp. 172 – 182, 2010.
[6] D. Chen, Q. Zhang, W. Jia, “Aggregation Aware Spectrum Assignment in Cognitive Ad-hoc Networks,” International Conference on Cognitive Radio Oriented Wireless Networks and Communications (CrownCom 2008), 15-17 May. 2008.
[7] J. D. Poston, W. D. Horne, “Discontiguous OFDM considerations for dynamic spectrum access in idle TV channels,” IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks (DySPAN 2005), Baltimore, 8-11 Nov. 2005.
[8] Y. Zhang, C. Leung, “A Distributed Algorithm for Resource Allocation in OFDM Cognitive Radio Systems,” in Proc. IEEE Vehicular Technology Conference (VTC 2008-Fall), Calgary, BC, 21-24 Sept. 2008.
[9] T. Chen, H. Zhang, G.M. Maggio, I. Chlamtac , “CogMesh: A Cluster-Based Cognitive Radio Network,” in Proc. IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks (DYSPAN 2007), Dublin, 17-20, April. 2007.
[10] W. Creixell, K. Sezaki, “Routing Protocol for Ad Hoc Mobile Networks Using Mobility Prediction,” International Journal of Ad Hoc and Ubiquitous Computing, Vol. 2, No.3, pp. 149 – 156, 2007.
[11] C. Ghosh, S. Chen, D. P. Agrawal, A. M. Wyglinski, “Priority-based spectrum allocation for cognitive radio networks employing NC-OFDM transmission,” in Proc. IEEE Military Communications Conference (MILCOM 2009), 18-21 Oct. 2009.
[12] Y. S. Chen, C. H. Cho. “A Cross-Layer Protocol of Spectrum Mobility and Handover in Cognitive LTE Networks,” Simulation Modelling Practice and Theory, 25 Oct. 2010.
[13] C. Xin, M. Song, L. Ma, S. Shetty, C.C. Shen, “Control-free dynamic spectrum access for cognitive radio networks,” in Proc. IEEE International Conference on Communications (ICC 2010), Cape Town, 23-27 May. 2010.
[14] W. Jiang, H. cui, J. Chen, “Spectrum-aware cluster-based routing protocol for multiple-hop cognitive wireless network,” in Proc. IEEE International Conference on Communications Technology and Applications (ICCTA 2009), Beijing, 16-18 Oct. 2009.
[15] S. Ju, J. B. Evans, “Spectrum-aware routing protocol for cognitive ad-hoc networks,” in Proc. IEEE Global Telecommunications Conference (GLOBECOM 2009), Honolulu, HI, 30 Nov. 2009.
[16] L. Chiaraviglio, I. Matta “GreenCoop: Cooperative Green Routing with Energy-efficient Servers,” in Proc. ACM 1st International Conference on Energy-Efficient Computing and Networking (e-Energy ‘10), NY, USA, 2010.
[17] C. F. Shih, W. J. Liao, “Exploiting route robustness in joint routing and spectrum allocation in multi-hop cognitive radio networks,” in Proc. IEEE Wireless Communications and Networking Conference (WCNC 2010), Sydney, NSW, 18-21 April. 2010.
[18] I.F. Akyildiz, W.Y. Lee, M.C. Vuran, S. Mohanty, “A survey on spectrum management in cognitive radio networks,” IEEE Communications Magazine, vol. 46, no. 4, pp. 40–48, 2008.
[19] K. Sundaresan, S. Rangarajan. “Efficient resource management in OFDMA femto cells,” in Proc. ACM Efficient resource management in OFDMA femtocells (MobiHoc 2009), NY, USA. 2009.
[20] 3GPP LTE http://www.2cm.com.tw/zoomin_content?sn=0709790011.
[21] O. Ileri, D. Samardzija, N.B. Mandayam, “Demand responsive pricing and competitive spectrum allocation via a spectrum server,” in Proc. IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks (DySPAN 2005), Baltimore, 8-11 Nov. 2005.
[22] J. Li, Z. Tan, C. Tao, S. Xu “A New Spectrum Aggregation Algorithm for IMT-Advanced Based on Cognitive Science,” in Proc. IEEE Wireless Communications and Signal Processing Conference (WCSP 2010), SuZhou, 21-23 Oct. 2010.
[23] I. F. Akyildiz, W. Y. Lee, M. C. Vuran, S. Mohanty, “NeXt generation/dynamic spectrum access/cognitive radio wireless networks: a survey,” Computer Networks, vol. 50, pp. 2127-2159, 2006.
[24] X. Wu, D. Gang, W. Zhu, “Impact of Link Distance on End-to-End Throughput in Multi-Rate, Multi-Hop Wireless Networks,” in Proc. IEEE Wireless Communications and Networking Conference (WCNC 2007), 11-15 March. 2007.
[25] C. E. Shannon, "A Mathematical Theory of Communication", Bell System Technical Journal, vol. 27, pp. 379–423, 623-656, July, October, 1948.
[26] L. von Bortkiewicz, “Das Gesetz der kleinen Zahlen, Teubner”, Leipzig, 1898.
[27] C. Perkins, E. Belding-Royer, S. Das, “Ad hoc On-Demand Distance Vector (AODV) Routing,” IETF Internet Draft, Work in Progress, draft-ietf-manet-aodv-11.txt (June 2002).
[28] A. Bellaachia, N. Weerasinghe, “Performance Analysis of Four Routing Protocols in Sensor Networks,” International Journal of Ad Hoc and Ubiquitous Computing, Vol. 3, No.3, pp. 167 – 173, 2008.
[29] The Network Simulator NS-2. http://www.isi.edu/nsnam/ns/.
[30] Cognitive Radio Cognitive Network Simulator. http://stuweb.ee.mtu.edu/ljialian/.

QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top