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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 陳光禎(Kwang-Cheng Chen) | |
| dc.contributor.author | Shao-Chou Hung | en |
| dc.contributor.author | 洪紹洲 | zh_TW |
| dc.date.accessioned | 2021-06-16T10:54:47Z | - |
| dc.date.available | 2013-08-14 | |
| dc.date.copyright | 2013-08-14 | |
| dc.date.issued | 2013 | |
| dc.date.submitted | 2013-08-09 | |
| dc.identifier.citation | [1] S.-Y. Lien, K.-C. Chen, and Y. Lin, “Toward ubiquitous massive accesses in
3gpp machine-to-machine communications,” IEEE Commun. Mag., vol. 49, no. 4, pp. 66–74, Apr. 2011. [2] S. Haykin, “Cognitive radio: brain-empowered wireless communications,” IEEE J. Sel. Areas Commun, vol. 23, no. 2, pp. 201–220, Feb. 2005. [3] Y.-C. Liang, K.-C. Chen, G. Li, and P. Mahonen, “Cognitive radio networking and communications: An overview,” IEEE Trans. Veh. Technol., vol. 60, no. 7, pp. 3386–3407, Sep. 2011. [4] A. Ghasemi and E. Sousa, “Collaborative spectrum sensing for opportunistic access in fading environments,” in Proc. IEEE DySPAN, 2005. [5] S. Mishra, A. Sahai, and R. Brodersen, “Cooperative sensing among cognitive radios,” in Proc. IEEE ICC, vol. 4, 2006, pp. 1658–1663. [6] J. Unnikrishnan and V. Veeravalli, “Cooperative sensing for primary detection in cognitive radio,” IEEE J. Sel. Topics Signal Process., vol. 2, no. 1, pp. 18– 27, Feb. 2008. [7] G. Ganesan and Y. Li, “Cooperative spectrum sensing in cognitive radio, Part I: Two user networks,” IEEE Trans. Wireless Commun., vol. 6, no. 6, pp. 2204– 2213, Jun. 2007. 43 [8] ——, “Cooperative spectrum sensing in cognitive radio, Part II: Multiuser networks,” IEEE Trans. Wireless Commun., vol. 6, no. 6, pp. 2214–2222, Jun. 2007. [9] N. Nguyen-Thanh and I. Koo, “Log-likelihood ratio optimal quantizer for cooperative spectrum sensing in cognitive radio,” IEEE Commun. Lett., vol. 15, no. 3, pp. 317–319, Mar. 2011. [10] E. Visotsky, S. Kuffner, and R. Peterson, “On collaborative detection of TV transmissions in support of dynamic spectrum sharing,” in Proc. IEEE. DySPAN, 2005, pp. 338–345. [11] V. Aalo and R. Viswanathan, “Asymptotic performance of a distributed detection system in correlated gaussian noise,” IEEE Trans. Signal Process., vol. 40, no. 1, pp. 211–213, Jan. 1992. [12] Y. Selen, H. Tullberg, and J. Kronander, “Sensor selection for cooperative spectrum sensing,” in Proc. IEEE DySPAN, 2008. [13] Z. Khan, J. Lehtomaki, K. Umebayashi, and J. Vartiainen, “On the selection of the best detection performance sensors for cognitive radio networks,” IEEE Signal Process. Lett., vol. 17, no. 4, pp. 359–362, Apr. 2010. [14] W. S. Jeon, D. H. Lee, and D. G. Jeong, “Collaborative sensing management for cognitive radio networks with reporting overhead,” IEEE Trans. Wireless Commun., vol. 12, no. 2, pp. 595–605, Feb. 2013. [15] A. Cacciapuoti, I. Akyildiz, and L. Paura, “Correlation-aware user selection for cooperative spectrum sensing in cognitive radio ad hoc networks,” IEEE J. Sel Areas Commun., vol. 30, no. 2, pp. 297–306, Feb. 2012. [16] Y. Yang, Y. Liu, Q. Zhang, and L. Ni, “Cooperative boundary detection for spectrum sensing using dedicated wireless sensor networks,” in Proc. IEEE. INFOCOM, 2010, pp. 1–9. 44 [17] G. Ding, Q. Wu, Y. Yao, J. Wang, and Y. Chen, “Kernel-based learning for statistical signal processing in cognitive radio networks: Theoretical foundations, example applications, and future directions,” IEEE Signal Process. Mag., vol. 30, no. 4, pp. 126–136, Jul Jul. 2013. [18] H. Li, “Reconstructing geographical-spectral pattern in cognitive radio networks,” in Proc. IEEE CROWNCOM, Jun 2010, pp. 1–5. [19] S.-Y. Shih and K.-C. Chen, “Compressed sensing construction of spectrum map for routing in cognitive radio networks,” Wirel. Commun. Mob. Comput., vol. 12, no. 18, pp. 1592–1607, Dec. 2012. [20] M. Pan, R. Huang, and Y. Fang, “Cost design for opportunistic multi-hop routing in cognitive radio networks,” in Proc. IEEE MILCOM, 2008. [21] K.-C. Chen, S.-Y. Tu, and C.-K. Yu, “Statistical inference in cognitive radio networks,” in ChinaCOM, 2009. [22] Q. Wu, G. Ding, J. Wang, and Y.-D. Yao, “Spatial-temporal opportunity detection for spectrum-heterogeneous cognitive radio networks: Two-dimensional sensing,” Wireless Communications, IEEE Transactions on, vol. 12, no. 2, pp. 516–526, Feb. Feb. 2013. [23] M. Haenggi, J. Andrews, F. Baccelli, O. Dousse, and M. Franceschetti, “Stochastic geometry and random graphs for the analysis and design of wireless networks,” IEEE J. Sel. Areas Commun., vol. 27, no. 7, pp. 1029–1046, Sep. 2009. [24] K.-C. Chen, “Medium access control of wireless lans for mobile computing,” IEEE Netw., vol. 8, no. 5, pp. 50–63, Sep. 1994. [25] S.-Y. Tu and K.-C. Chen, “General spectrum sensing in cognitive radio networks,” arXiv:0907/.2859v1, Jul. 2009. 45 [26] I. F. Akyildiz, W.-Y. Lee, and K. R. Chowdhury, “CRAHNs: Cognitive radio ad hoc networks,” Ad Hoc Net. J., vol. 7, no. 5, pp. 810 – 836, Jul. 2009. [27] S. Subramani, T. Basar, S. Armour, D. Kaleshi, and Z. Fan, “Noncooperative equilibrium solutions for spectrum access in distributed cognitive radio networks,” in Proc. IEEE DySPAN, 2008. [28] L. Chen, S. Low, and J. Doyle, “Random access game and medium access control design,” IEEE/ACM Trans. Netw., vol. 18, no. 4, pp. 1303–1316, Aug. 2010. [29] M. Hanawal, E. Altman, and F. Baccelli, “Stochastic geometry based medium access games in wireless ad hoc networks,” IEEE J. Sel. Areas Commun., vol. 30, no. 11, pp. 2146–2157, Dec. 2012. [30] M. Maskery, V. Krishnamurthy, and Q. Zhao, “Decentralized dynamic spectrum access for cognitive radios: cooperative design of a non-cooperative game,” IEEE Trans. Commun., vol. 57, no. 2, pp. 459–469, Feb. Feb. 2009. [31] J. O. Berger, Statistical Detection Theory And Bayesian Analysis. Springer- Verlag New York, 1985. [32] C.-H. Huang and K.-C. Chen, “Dual-observation time-division spectrum sensing for cognitive radios,” IEEE Trans. Veh. Technol., vol. 60, no. 8, pp. 3712–3725, Oct. 2011. [33] M. Haenggi and R. K. Ganti, Interference in Large Wireless Networks. NOW: Foundations and Trends in Networking, 2009. [34] W. Ren, Q. Zhao, and A. Swami, “Power control in cognitive radio networks: how to cross a multi-lane highway,” IEEE J. Sel. Areas Commun., vol. 27, no. 7, pp. 1283–1296, Sep. 2009. [35] H. L. V. Trees, Detection, Estimation, And Modulation Theory, Part I. John Wiley & Sons, 2001. 46 [36] J. F. C. Kingman, Poisson Processes. Oxford University Press, 1993. [37] Z. Han, D. Niyato, W. Saad, T. Basar, and A. Hjorungnes, Game Theory in Wireless and Communication Networks: Theory, Models and Applications. Cambridge, UK: Cambridge University Press, Aug., 2011. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/61232 | - |
| dc.description.abstract | 合作式偵測是一個廣為人知的技術。其最大的目的在於蒐集資料以幫助感知無線電的傳送端，使其能更有效率、更準確地偵測到頻譜缺口。然而，一個成功的傳送不只在於傳送端要有頻譜缺口，在接收端也要能同時有頻譜缺口。這個傳送端與接收端的異質現象，在之前討論合作式通訊是一直被忽略的。利用這個特性，我們利用Poisson分佈以及隨機幾何來討論，在分散式感知網路中，時麼時候利用合作式感測器才是有用的。我們發現即使在最簡單的圓盤模型之下，能夠成功傳送資料的區域也不在是對稱的。我們也進一步的發現到，這所帶來的影響是，傳送的連線也不在是雙向的。這都跟之前的研究有極大的差異。另外，我們也將這個模型延伸到多個感知使用者中的競爭行為，是如何影響到最 後的可傳送區域。我們也發現在什麼樣的狀況下，使用合作式感測器不一定會增加最終的速率。基於這些觀察上，我們也發展出了如何針對不同的接受端，來選擇不同的合作式偵測器，來最佳化感知無線電網路。 | zh_TW |
| dc.description.abstract | Cooperative spectrum sensing is widely known to collect sensing information from cooperative sensors to assist cognitive radio transmitter to better judge the transmission opportunities, with appearance of hidden primary system terminals. However, it is usually ignored that a successful transmission can go through by requiring not only the spectrum availability at cognitive radio transmitter, but also spectrum availability at cognitive radio receiver. Using this special observation, we use Poisson distributed nodes and random geometric graph model to analyze the geometric property of the geographic region allowing CR transmission with the help of cooperative sensors. Contrary to intuition, we find that cooperative sensing is not always helpful and the region allowing CR transmission is no longer circular anymore. Using this geometric property, we further find that transmission link can remain bidirectional only under certain geometric conditions. And we further extend this model to discuss about the competition among the secondary users and the corresponding geographic transmission region. And we find the condition on which secondary users cannot improve their throughput by using cooperative sensors. Due to these observations, we develop a complete methodology so that a secondary transmitter can select helpful cooperative sensors corresponding to different receivers. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-16T10:54:47Z (GMT). No. of bitstreams: 1 ntu-102-R00942124-1.pdf: 682078 bytes, checksum: 5d33f3c75cbed53ea0c5a000f531c5df (MD5) Previous issue date: 2013 | en |
| dc.description.tableofcontents | Contents
誌謝ii 中文摘要iv Abstract v 1 Introduction 1 1.1 Backgrounds . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.1.1 Cognitive Radio Network . . . . . . . . . . . . . . . . . . . . 1 1.1.2 Existing Challenges . . . . . . . . . . . . . . . . . . . . . . . . 2 1.1.3 Transmission Strategy in Cognitive Radio Network . . . . . . 2 1.2 Preliminary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 1.2.1 Bayesian Hypothesis . . . . . . . . . . . . . . . . . . . . . . . 4 1.2.2 Minimax Approach . . . . . . . . . . . . . . . . . . . . . . . . 5 1.2.3 Game Theory Analysis . . . . . . . . . . . . . . . . . . . . . . 5 1.2.4 Difference Between Minimax and Game . . . . . . . . . . . . 6 1.3 Organization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 2 System Model 8 2.1 Environment Setting . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 2.1.1 Network Geometry . . . . . . . . . . . . . . . . . . . . . . . . 8 2.1.2 Random Geometric Graph Model . . . . . . . . . . . . . . . . 9 2.2 General Spectrum Sensing Model . . . . . . . . . . . . . . . . . . . . 10 2.2.1 Without Cooperative Sensor . . . . . . . . . . . . . . . . . . . 12 vi 2.2.2 With Cooperative Sensor . . . . . . . . . . . . . . . . . . . . 12 2.2.3 Interpretation of Communication Region . . . . . . . . . . . . 15 2.3 Experiment . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16 2.3.1 Impact of Primary Users Network . . . . . . . . . . . . . . . . 16 2.3.2 Numerical Result . . . . . . . . . . . . . . . . . . . . . . . . . 18 3 Competition Among Multiple Secondary Users 21 3.1 Competition With Secondary Users: With Complete Information . . 21 3.1.1 Without Cooperative Sensor . . . . . . . . . . . . . . . . . . . 22 3.1.2 All Secondary Users Use Cooperative Sensor . . . . . . . . . . 24 3.2 Competition With Secondary Users: With Incomplete Information . . 29 3.2.1 Without Cooperative Sensor . . . . . . . . . . . . . . . . . . . 30 3.2.2 All Secondary Users Use Cooperative Sensor . . . . . . . . . . 31 4 Performance Analysis 34 4.1 The Meaning of Bayesian Risk . . . . . . . . . . . . . . . . . . . . . . 34 4.2 Numerical . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36 4.2.1 Illustration of Transmission Allowable Region . . . . . . . . . 36 4.2.2 Throughput Analysis . . . . . . . . . . . . . . . . . . . . . . . 37 5 Conclusion and Future Work 41 | |
| dc.language.iso | en | |
| dc.subject | 感知無線電網路 | zh_TW |
| dc.subject | cognitive radio network | en |
| dc.title | 在感知網路中使用合作偵測之傳輸策略 | zh_TW |
| dc.title | Transmission Strategy With Cooperative Sensor in Cognitive Radio Network | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 101-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 楊谷章(Guu-Chang Yang),張時中(Shi-Chung Chang),李志鵬(Chih-Peng Li),鄭憲宗(Sheng-Tzong Cheng) | |
| dc.subject.keyword | 感知無線電網路, | zh_TW |
| dc.subject.keyword | cognitive radio network, | en |
| dc.relation.page | 47 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2013-08-09 | |
| 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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