Responsive image
博碩士論文 etd-0804110-164601 詳細資訊
Title page for etd-0804110-164601
論文名稱
Title
在通道容量限制下感知無線電之次要使用者傳輸量極大化研究
The Secondary Users’Throughput Maximization in Cognitive Radio System Under Channel Capacity Constraint
系所名稱
Department
畢業學年期
Year, semester
語文別
Language
學位類別
Degree
頁數
Number of pages
39
研究生
Author
指導教授
Advisor
召集委員
Convenor
口試委員
Advisory Committee
口試日期
Date of Exam
2010-06-11
繳交日期
Date of Submission
2010-08-04
關鍵字
Keywords
Channel Capacity、感知無線電、傳輸量、通道容量、Cognitive Radio、Throughput
Channel Capacity, Throughput, Cognitive Radio
統計
Statistics
本論文已被瀏覽 5665 次,被下載 1248
The thesis/dissertation has been browsed 5665 times, has been downloaded 1248 times.
中文摘要
一般而言,在感知無線電網路中,我們希望極大化次要使用者的傳輸量。在本論文中,一個感知無線電網路系統,在通道容量的限制下,我們去探討次要使用者的最大傳輸量問題。藉由KKT 定理,可得到一個目標函數,利用此目標函數,來獲得次要使用者的最佳個數。並且舉例數值結果實驗來做說明。在本實驗中,最重要的結果是,為了達到最大次要使用者的傳輸量,並不是合作所有次要使用者,而是合作某一數目的次要使用者。
Abstract
In a CR network, the maximum SUs throughput is desired generally. In this thesis, We
investigate and formulate the problem of the secondary users’ throughput maximization in
cognitive radio systems under channel capacity constrain. By using KKT theorem, an objec-
tive function is developed to obtain an optimal solution for the SU throughput maximization
problem. An numerical example is also presented for illustration. The most important results
revealed in the example show that the maximum SU throughput is achieved by cooperating an
optimal number of SU pairs instead of cooperating all the SU pairs.
目次 Table of Contents
1 Introduction 1
1.1 Motivation and objective . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1
1.2 Thesis Organization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4
2 System Model 5
2.1 System model for spectrum sensing . . . . . . . . . . . . . . . . . . . . . . . . . 5
2.2 Local detection for spectrum sensing . . . . . . . . . . . . . . . . . . . . . . . . 6
2.3 Cooperative Spectrum Sensing . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8
3 The Secondary Users’ Throughput Maximization 9
3.1 Problem formulation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9
3.2 Optimal solution scheme development . . . . . . . . . . . . . . . . . . . . . . . . 10
4 Numerical Examples 13
4.1 The effect of interference channel fading coefficient : |g|2 . . . . . . . . . . . . . 14
4.2 The effect of primary user’s transmission rate : Rp . . . . . . . . . . . . . . . . . 17
4.3 The effect of the primary user’s transmission power : Pp . . . . . . . . . . . . . 20
4.4 The effect of the probability for which the PU is inactive : P(H0) . . . . . . . . 23
5 Conclusions 26
6 Appendix 27
參考文獻 References
[1] I. F. Akyiliz, W.-Y. Lee, M. C. Vuran, and S. Mohanty, ”Next generation/dynamic spec-
trum access/cognitive radio wireless networks: A survey,” Computer Networks, vol. 50,
pp. 2127-2159, 2006.
[2] Q. Zhao, and B. M. Sadler, A Survey of Dynamic Spectrum Access: Signal processing,
networking, and regulatory policy,” IEEE Signal Processing Magazine, vol. 79, May. 2007.
[3] S. Haykin, ”Cognitive Radio: Brain-Empowered Wireless Communications,” IEEE JSAC,
vol. 23, no. 2, pp. 201-220, Feb. 2005.
[4] S. M. Mishra, A. Sahai, and R. W. Brodersen, ”Cooperative Sensing among Cognitive
Radios,” Proceedings of the IEEE ICC 2006, pp. 1658-1663, 2006.
[5] I. F. Akyiliz, ”Cognitive radio networks,” School of Electrical and computer Engineering,
Georgia Institute of Technology, Class slides, 2007.
[6] Federal Communications commission (FCC), ”Spectrum policy task force,” Technical Re-
port 02-135, online Available: http://www.fcc.gov/sptf/reports.html.
[7] D. Cabric, S. M. Mishra, and R. W. Brodersen, ”Implementation Issues in Spectrum
Sensing for Cognitive Radios,” Proceedings of the 38h Annual Asilomar Conference on
Signals, Systems and Computers, Nov. 2004.
[8] Q. Ren, and Q. Liang, ”Performance Analysis of Energy Detection for Cognitive Radio
Wireless Networks,” Proceedings of the International Conference on Wireless Algorithms,
Systems and Applications (WASA) 2007, pp. 139-146, Aug. 2007.
[9] A. Tkachenko et al., ”Cognitive radio experiments using reconfigurable BEE2,” Asilomar
Conference on Signal, Systems and Computers, Oct. 2006.
[10] C. Sun, W. Zhang, and K. B. Letaief, ”Cooperative Spectrum Sensing for Cognitive Ra-
dios under Bandwidth Constraints,” Proceedings of IEEE Wireless Communications and
Networking Conference, pp. 1-5, Mar. 2007.
[11] Q. Peng, K. Zeng, and S. Li, ”A Distributed Spectrum Sensing Scheme Based on Credi-
bility and Evidence Theory in Cognitive Radio Context,” Proceedings of 2006 IEEE 17th
International Symposium Personal, Indoor and Mobile Radio Communications, pp. 1-5,
2006.
[12] A. Ghasemi, and E. S. Sousa, ”Collaborative spectrum sensing for opportunistic access in
fading environments,” Proceedings of 2005 First IEEE International Symposium on New
Frontiers in Dynamic Spectrum Access Networks, pp. 131-136, 2005.
[13] H. Sun, J. Jiang, and M. Lin, ”Adaptive Cooperation Algorithm for Cognitive Radio
Networks,” Proceedings of 2006 International Conference on Wireless Communications,
Networking and Mobile Computing, pp. 1-4, 2006.
[14] R. C. M. Claudio da Silva, B. Choi, and K. Kim, ”Distributed Spectrum Sensing for Cogni-
tive Radio Systems,” Proceedings of 2007 Information Theory and Applications Workshop,
pp. 120-123, 2007.
[15] M. Gandetto, and C. Regazzoni, ”Spectrum sensing: A distributed approach for cognitive
terminals,” IEEE Journal on Selected Areas in Communications, vol. 25, no. 3, pp. 546-
557, Apr. 2007.
[16] G. Ganesan, and Y. Li, ”Cooperative spectrum sensing in cognitive radio, part I: Two user
networks,” IEEE Transactions On Wireless Communications, vol. 6, no. 6, pp. 2204-2213,
June 2007.
[17] G. Ganesan, and Y. Li, ”Cooperative spectrum sensing in cognitive radio, part II:Multiuser
networks,” IEEE Transactions On Wireless Communications, vol. 6, no. 6, pp. 2214-2222,
June 2007.
[18] Y. Zhang, W.-D. Yang and Y.-M. Cai, ”Cooperative Spectrum Sensing Technique,” Proceedings
of 2007 International Conference on Wireless Communications, Networking and
Mobile Computing, pp. 1167-1170, 2007.
[19] S. C. Z. Quan, and A. H. Sayed, ”Optimal linear cooperation for spectrum sensing in
cognitive radio networks,” IEEE Journal Of Selected Topics In Signal Processing, vol. 2,
no. 1, Feb. 2008.
[20] Z. Ye, J. Grosspietsch, and G. Memik, ”Spectrum Sensing Using Cyclostationary Spectrum
Density for Cognitive Radios” Proceedings of the 2007 IEEE Workshop on signal Processing
Systems, pp. 1-6, Oct. 2007.
[21] H. Urkowitz, ”Energy detection of unknown deterministic signals,” Proceedings of the
IEEE, vol. 55, no. 4, pp. 523-531, Apr. 1967.
[22] F. F. Digham, M.-S. Alouini, and M. K. Simon, ”On the Energy Detection of Unknown
Signals Over Fading Channels,” IEEE Transactions on Communications vol. 55, no 1, pp.
21-24, Jan. 2007.
[23] W. A. Gardner, ”Spectrum correlation of modulated signals: part I - analog modulation,”
IEEE Transactions on Communications vol. 35, no. 6, pp.584-594, June 1987.
[24] W. A. Gardner, et. al., ”Spectral Correlation of Modulated Signals: Part II - Digital
Modulation,” IEEE Transactions on Communications, vol. 35, no. 6, pp.595-601, June
1987.
[25] Y. L. G. E. C. Y. Peh, Y.-C. Liang, and Y. Zeng, ”Optimization of cooperative sensing
in cognitive radio networks: A sensing-throughput tradeoff view,” IEEE Transactions On
Vehicular Technology, vol. 58, no. 9, Nov. 2009.
[26] Y.-C. Liang, Y. Zeng, E. C. Y. Peh, and A. T. Hoang, ”Sensing-throughput tradeoff for
cognitive radio networks,” IEEE Transactions On Wireless Communications, vol. 7, no.
4, Apr. 2008.
[27] J. Unnikrishnan, and V. V. Veeravalli, ”Cooperative sensing for primary detection in
cognitive radio,” IEEE Journal Of Selected Topics In Signal Processing, vol. 2, no. 1, Feb.
2008.
[28] A. H. J. Lund’ en, V. Koivunen, and H. V. Poor, ”Collaborative cyclostationary spectrum
sensing for cognitive radio systems,” IEEE Transactions On Signal Processing, vol. 57, no.
11, Nov. 2009.
[29] S. L. J. Shen, T. Jiang, and Z. Zhang, ”Maximum channel throughput via cooperative
spectrum sensing in cognitive radio networks,” IEEE Transactions On Wireless Communications,
vol. 8, no. 10, Oct. 2009.
[30] Z. Ma, and Z. Cao, ”Secondary user cooperation access scheme in opportunistic cognitive
radio networks,” IEEE Military Communications Conference, 2007.
[31] I. M. El-Saleh, A.A., and M. Ali, ”Optimizing spectrum sensing parameters for local and
cooperative cognitive radios,” IEEE 11th International Conference on Advanced Communication
Technology, 2009.
[32] Y. L. M. Y. Linbo Zhai, Kaiming Liu, and L. Zhuang, ”A slot-based mac protocol in cog-
nitive radio wireless networks,” WiCOM 4th International Conference on Wireless Communications
Networking and Mobile Computing, 2008.
[33] T. S. Rappaport, Wireless Communications: Principles and Practice. N.J. : Prentice Hall,
2002.
[34] Y. Chen, G. Yu, Z. Zhang, H.-H. Chen, and P. Qiu, ”On cognitive radio networks with
opportunistic power control strategies in fading channels,” IEEE Transactions On Communications,
vol. 7, no. 7, pp. 2752-2761, July 2008.
[35] B. V. Gnedenko, Limit distributions for sums of independent random variables. Addison-
Wesley Pub. Co, 1954.
[36] Z. Chair, and P. K. Varshney, ”Optimal data fusion in multiple sensor detection systems,”
IEEE Transactions On Aerospace And Electronic Systems, vol. AES-22, no. 1, pp. 98-101,
Jan. 1986.
[37] P. K. Varshney, Distributed Detection and Data Fusion. Springer, 1997.
[38] Xin Kang, Ying-Chang Liang, Garg H.K., and Lan Zhang, ”Sensing-Based Spectrum Shar-
ing in Cognitive Radio Networks,” IEEE Transactions on Vehicular Technology, VOL. 58,
NO. 8, pp. 4649 - 4654, Oct. 2009
[39] Woongsup Lee, and Dong-Ho Cho, ”Sensing Optimization Considering Sensing Capability
of Cognitive Terminal in Cognitive Radio System,” Cognitive Radio Oriented Wireless
Networks and Communications, 2008. CrownCom 2008. 3rd International Conference on.
[40] S. Boyd, and L. Vandenberghe, Convex Optimization. Cambridge Univ. Press, 2004.
電子全文 Fulltext
本電子全文僅授權使用者為學術研究之目的,進行個人非營利性質之檢索、閱讀、列印。請遵守中華民國著作權法之相關規定,切勿任意重製、散佈、改作、轉貼、播送,以免觸法。
論文使用權限 Thesis access permission:校內外都一年後公開 withheld
開放時間 Available:
校內 Campus: 已公開 available
校外 Off-campus: 已公開 available


紙本論文 Printed copies
紙本論文的公開資訊在102學年度以後相對較為完整。如果需要查詢101學年度以前的紙本論文公開資訊,請聯繫圖資處紙本論文服務櫃台。如有不便之處敬請見諒。
開放時間 available 已公開 available

QR Code