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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 周俊廷(Chun-Ting Chou) | |
dc.contributor.author | Tsung-Lin Li | en |
dc.contributor.author | 李宗霖 | zh_TW |
dc.date.accessioned | 2021-06-15T07:06:36Z | - |
dc.date.available | 2011-12-10 | |
dc.date.copyright | 2010-12-10 | |
dc.date.issued | 2010 | |
dc.date.submitted | 2010-11-19 | |
dc.identifier.citation | [1] Federal Communication Commission, “Notice for Proposed Rulemaking (NPRM, 03-322): Facilitating Opportunities for Flexible, Efficient, and Reliable Spectrum Use Employing Spectrum agile Radio Technologies,” ET Docket No. 03 108, Dec 2003.
[2] Allen Petrin and Paul G. Steffes, “Measurement and Analysis of Urban Spectrum Usage,” International Symposium on Advanced Radio Technologies (ISART), Boulder Colorado USA, Mar 2004. Available from: http://www.ece.gatech.edu/research/labs/rsel [3] Chun-Ting Chou, Sai N. Shankar, H. Kim and K.G. Shin, “What and how much to gain by spectrum agility?” IEEE Journal on Selected Areas in Communications, Vol. 25, No.3, April 2007, pp. 576–588 [4] “Additional Spectrum for Unlicensed Devices below 900 MHz and in the 3 GHz Band,” FCC ET Docket No. 02-380. [5] Carlos Cordeiro, Kiran Challapali, Dagnachew Birru, and Sai Shankar N, “IEEE 802.22: An Introduction to the First Wireless Standard based on Cognitive Radios,” European Journal of Communications, vol. 1, no. 1, Apr. 2006. [6] P. Bahl and R. Chandra and T. Moscibroda and R. Murty and M. Welsh, “White Space Networking with Wi-Fi like Connectivity,” Proceeding of Sigcomm, 2009. [7] H. Rahul and F. Edalat and D. Katabi and C. Sodini, “Frequency-Aware Rate Adaptation and MAC Protocols,” Proceeding of Mobicom, 2009. [8] Ying-Chang Liang and Yonghong Zeng, “Sensing-Throughput Tradeoff for Cognitive Radio Networks,” IEEE Transactions on Wireless Communications, April 2008. [9] D. Cabric, S.M. Mishra, and R.W. Brodersen, Implementation Issues in Spectrum Sensing for Cognitive Radios, Proc. Asilomar Conf. Signals, Systems, and Computers, pp. 772-776, Nov. 2004. 62 [10] S. Shankar, C. Cordeiro, and K. Challapali, Spectrum Agile Radios: Utilization and Sensing Architectures, Dynamic Spectrum Access Networks (DySPAN 2005), pp. 160-169, Nov. 2005. [11] Chunyi Peng, Haitao Zheng and Ben Y. Zhao, Utilization and Fairness in Spectrum Assignment for Opportunistic Spectrum Access,” ACM Mobile Networks and Applications (MONET), 2006. [12] Lili Cao and Haitao Zheng, “SPARTA: Stable and Efficient Spectrum Access in Next Generation Dynamic Spectrum Networks,” IEEE INFOCOM 2008. [13] Peng Wang, Limin Xiao, Shidong Zhou and Jing Wang, “Optimization of Detection Time for Channel Efficiency in Cognitive Radio Systems,” IEEE Wireless Communications and Networking Conference, March 2008. [14] Amir Ghasemi and Elvino S. Sousa, “Optimization of Spectrum Sensing for Opportunistic Spectrum Access in Cognitive Radio Networks,” IEEE Consumer Communication Networking Conference (CCNC), Jan. 2007. [15] Ling Luo and Sumit Roy, “Analysis of Search Schemes in Cognitive Radio,”in Proc. IEEE Workshop Networking Technologies for Software Defined Radio Networks, June 2007. [16] J. So and N. Vaidya, ”Multi-channel MAC for ad hoc networks: Handling multichannel hidden terminals using a single transceiver,” Proc. ACM MobiHoc 2004, pp. 222–233. [17] Liangping Ma, Xiaofeng Han and Chien-Chung Shen, “Dynamic Open Spectrum Sharing MAC Protocol for Wireless Ad Hoc Networks,” Proc. IEEE Symposium on New Frontiers in Dynamic Spectrum Access networks(DySPAN), Nov. 2005. [18] Carlos Cordeiro and Kiran Challapali, “C-MAC: A Cognitive MAC Protocol for Multi-Channel Wireless Networks,” Proc. IEEE Symposium on New Frontiers in Dynamic Spectrum Access networks(DySPAN), April 2007. [19] J. Zhao, H. Zheng, G.-H. Yang, “Distributed coordination in dynamic spectrum allocation networks,” in: Proc. IEEE DySPAN 2005, pp. 259-268, November 2005. [20] P. Bahl and R. Chandra and J. Dunagan, “SSCH: Slotted Seeded Channel Hopping for Capacity Improvement in IEEE 802.11 Ad-Hoc Wireless Networks,” Proceeding of Mobicom 04, 2004. [21] L.A. DaSilva and I. Guerreiro, “Sequence-Based Rendezvous for Dynamic Spectrum Access”. In Proc. of IEEE DySpan, October 2008. [22] Hoi-Sheung Wilson So, Jean Walrand and Jeonghoon Mo, “McMAC: A Parallel Rendezvous Multi-Channel MAC Protocol,” IEEE Wireless Communications and Networking Conference (WCNC), Mar. 2007. [23] J. Jia, Q. Zhang, X. Shen, “HC-MAC: a hardware-constrained cognitive MAC for efficient spectrum management”, IEEE J. Selected Areas Communication 26 (1) (2008) 106V117. [24] K. A. Shelby, Johann Chiang and J. Lansford, “Modified adjacent frequency coding for increased notch depth in MB-OFDM under DAA/spectral sculpting,” 1st International Conference on Cognitive Radio Oriented Wireless Networks and Communications, 2006, pp. 1V5. [25] Johann Chiang and J. Lansford, Use of cognitive radio technique for OFDM ultrawide band coesistence with WiMax, Texas Wireless Symposium, 2005 [26] The powerful broadcast signal generator for production test systems (http://www2.rohde-schwarz.com/product/SFE100.html) [27] The DVB-T signals receiver (http://www.garmin.com.tw/products/nuvi5000DVBT TWN/index.html) [28] The Universal Software Radio Peripheral device (http://www.ettus.com/downloads/ettus ds usrp v7.pdf) [29] The OPNET Modeler (http://www.opnet.com). | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/48651 | - |
dc.description.abstract | 現今的無線網路的頻譜使用是採用固定式頻譜分配,其最大的缺點便是頻譜的使用效率不佳,讓頻譜缺乏的問題日益嚴重。動態頻譜存取被視為在新一代無線網路中的一項關鍵技術。在動態頻譜存取的技術中,未授權裝置能動態地使用需授權頻段,只要這些未授權裝置的使用不影響原本的授權裝置的使用,如此可以提高整體頻譜的使用效率。然而,使用動態頻譜存取也面臨新的挑戰,一方面,未授權設備必須能找到足夠的閒置頻譜資源,達到應用層的要求。另一方面,未授權裝置在使用授權頻段時,不能干擾授權裝置原本的傳輸,也不能干擾到其他未授權裝置的使用。
在本論文中,我們提出了一個在動態頻譜存取網路中的整合式頻譜偵測及分享的演算法。這個演算法包含兩個部分:頻譜感測和頻譜存取協定。頻譜感測要求每個裝置在偵測頻譜時,兩次偵測的間隔必須是指數分佈。頻譜存取協定只允許最先發現一個閒置通道的未授權裝置,可以獨佔地使用此通道,直到有授權裝置又開始使用此通道。此演算法能夠將閒置的頻譜資源成比例地分配給未授權裝置,而且藉著調整偵測的速率,該裝置可有效地控制所獲得的頻譜資源。另外,我們發展了一套數學模型來分析和評估我們的演算法的效能,並且我們考慮了兩個重要參數---假報警的發生機率和偵測頻譜所需的時間---對此演算法的效能的影響。為了將此演算法實現於實際的網路環境中,我們設計了一個符合我們所提出的演算法的媒體存取協定,並且利用OPNET來模擬此協定。模擬所得到的結果驗證了我們提出的媒體存取協定,可以提供未授權裝置公平且有效率地使用頻譜資源。 | zh_TW |
dc.description.abstract | Dynamic spectrum access (DSA) has been considered as a key technology for the next-generation wireless communications. In a DSA network, unlicensed devices can use the wireless spectrum opportunistically so as to improve the overall spectrum efficiency and application-level performance. However, allowing opportunistic use of wireless spectrum introduces new issues. On the one hand, devices must sense the spectrum to find enough spectrum resource and to reach the higher layer requirement. On the other hand, it is important for devices to access the channel without causing
interference with licensed and unlicensed devices. In this thesis, we propose a new algorithm to provide secondary devices proportional sharing of available spectrum resource. The proposed algorithm includes a spectrum sensing mechanism and a spectrum access etiquette. The sensing mechanism requires every secondary device to scan the channel with exponentially-distributed scanning intervals. The access etiquette requires that the device which first finds an idle channel has the exclusive access to the channel until primary devices return to the channel. With the proposed algorithm, proportional sharing of the spectral resource among secondary devices can be achieved through simple control over their scanning rates. We develop a mathematical model and conduct numerical analysis to evaluate the effectiveness of our algorithm. Besides, two important parameters, the false-alarm probability and scanning overheads, are considered in our analysis. In order to implement our proposed algorithm in the real network, we also design a medium access control (MAC) protocol. Then, we simulate the proposed protocol using the OPNET Modeler. Our analysis and simulation results demonstrate that the protocol provides competing secondary devices proportional sharing of the spectrum resource, as suggested by the proposed algorithm, in a distributed manner. | en |
dc.description.provenance | Made available in DSpace on 2021-06-15T07:06:36Z (GMT). No. of bitstreams: 1 ntu-99-R97942113-1.pdf: 8706897 bytes, checksum: 2460dfd19988ac9e6a7a5bb09ceebd35 (MD5) Previous issue date: 2010 | en |
dc.description.tableofcontents | ABSTRACT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ii
LIST OF TABLES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . vi LIST OF FIGURES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . vii CHAPTER 1 INTRODUCTION . . . . . . . . . . . . . . . . . . . . . 1 1.1 An introduction to dynamic spectrum access networks . . . . . . . . 1 1.2 Issues in DSA networks . . . . . . . . . . . . . . . . . . . . . . . . . 2 1.2.1 Spectrum sensing . . . . . . . . . . . . . . . . . . . . . . . . 2 1.2.2 Spectrum access . . . . . . . . . . . . . . . . . . . . . . . . . 3 1.3 Related work . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 1.3.1 Centralized networks . . . . . . . . . . . . . . . . . . . . . . 4 1.3.2 Distributed networks . . . . . . . . . . . . . . . . . . . . . . 5 1.4 The main objectives and contributions . . . . . . . . . . . . . . . . . 11 1.5 The organization of this thesis . . . . . . . . . . . . . . . . . . . . . 12 CHAPTER 2 SYSTEM MODEL AND ASSUMPTIONS . . . . . . 13 2.1 Network topology . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 2.2 Primary devices’ channel usage model . . . . . . . . . . . . . . . . . 15 2.3 Secondary devices’ channel usage model . . . . . . . . . . . . . . . . 15 CHAPTER 3 INTEGRATED SPECTRUM SENSING AND SHARING ETIQUETTE . . . . 18 3.1 The Winner-Gets-All policy . . . . . . . . . . . . . . . . . . . . . . . 18 3.2 Numerical analysis and performance evaluation . . . . . . . . . . . . 20 3.2.1 T(k)_gained in an ideal multi-channel network . . . . . . . . . . . 21 3.2.2 T(i)_gained with non-zero false alarm probability . . . . . . . . . 29 3.2.3 T(i)_gained with non-zero false alarm probability and non-zero scanning overhead . . . . . . . . . . . . . . . . . . . . . . . . . . 33 3.3 Conclusions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40 CHAPTER 4 THE PROTOCOL OFWINNER-GETS-ALL POLICY . . . . 41 4.1 Objectives . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41 4.1.1 Proportional sharing in a fully-distributed manner . . . . . . 41 4.1.2 Winner-Gets-All . . . . . . . . . . . . . . . . . . . . . . . . . 41 4.1.3 Flexible and efficient use of channel time . . . . . . . . . . . 41 4.2 Assumptions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42 4.3 The proposed protocol . . . . . . . . . . . . . . . . . . . . . . . . . 42 4.3.1 Sensing process . . . . . . . . . . . . . . . . . . . . . . . . . 43 4.3.2 Three device types . . . . . . . . . . . . . . . . . . . . . . . . 45 4.3.3 Data transmission process . . . . . . . . . . . . . . . . . . . 45 4.4 Analysis of the Winner-Gets-All protocol . . . . . . . . . . . . . . . 47 CHAPTER 5 SIMULATIONS AND PERFORMANCE EVALUATION . . . . . 52 5.1 Total acquired time vs. normalized scanning rates . . . . . . . . . . 54 5.1.1 Case I: Secondary devices are fully-loaded . . . . . . . . . . . 54 5.1.2 Case II: Secondary devices are not fully-loaded . . . . . . . . 56 5.2 Total acquired time vs. false-alarm probability . . . . . . . . . . . . 58 CHAPTER 6 CONCLUSIONS AND FUTURE WORK . . . . . . . 60 REFERENCES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65 | |
dc.language.iso | en | |
dc.title | 動態頻譜存取網路中整合式頻譜偵測及分享之媒體存取協定設計 | zh_TW |
dc.title | An Integrated MAC Protocol Designed for Spectrum Sensing and Sharing in Dynamic Spectrum Access (DSA) Networks | en |
dc.type | Thesis | |
dc.date.schoolyear | 99-1 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 蔡志宏(Zse-Hong Tsai),廖婉均(Wan-Jiun Liao),魏宏宇(Hung-Yu Wei) | |
dc.subject.keyword | 媒體存取協定,動態頻譜存取,授權裝置,頻譜存取,偵測, | zh_TW |
dc.subject.keyword | DSA,primary device,secondary device,distributed,spectrum sensing,spectrum access, | en |
dc.relation.page | 64 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2010-11-19 | |
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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