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研究生:劉陶慶
研究生(外文):Tao-Ching Liu
論文名稱:基於多天線能量偵測器之合作式頻譜偵測決策融合及最佳化於感知無線電
論文名稱(外文):Cooperative Spectrum Sensing with Decision Fusion and Optimization Based on Multi-Antenna Energy Detection in Cognitive Radio Networks
指導教授:鄭献勳
指導教授(外文):Shiann-Shiun Jeng
學位類別:碩士
校院名稱:國立東華大學
系所名稱:電機工程學系
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:2016
畢業學年度:104
論文頁數:60
中文關鍵詞:感知無線電頻譜偵測能量偵測器合作式頻譜偵測決策融合
外文關鍵詞:Cognitive RadioSpectrum SensingEnergy DetectionCooperative Spectrum SensingDecision Fusion
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在感知無線電(Cognitive Radio;CR)技術中,利用頻譜感知的方式偵測頻譜空洞,可以讓非授權的用戶合法使用授權用戶未使用的頻段,提高頻譜使用效率。本論文將多天線能量偵測器視為感知中繼端(cognitive relay;CR relay),並且以多個感知中繼端進行合作式頻譜感測(Cooperative Spectrum Sensing),藉此提升感知無線電的頻譜偵測效能。多天線能量偵測器利用波束成型(Beamforming)的方式來接收主要使用者(primary user)的訊號。使用波束成型可以加強主要使用者的訊號,進而提升感知中繼端對主要使用者進行頻譜感知的效能。
在合作式頻譜感知系統中,感知中繼端至資料整合中心(fusion center)的通訊為無線通道,會遭受到通道不確定性的影響,降低頻譜感知的效能。為了有效提升後端通道的通訊品質,我們在中繼端與資料整合中心的通訊中使用多重輸入多重輸出技術(Multi-Input Multi-Output;MIMO)。而影響合作式頻譜感知系統的感知效能的一個重大因素則是決策方法。我們透過對決策方法的最佳化,提升感知無線電系統的偵測效能。
In Cognitive Radio (CR) technology, spectrum sensing is used to detect spectrum holes, which can make unlicensed users legally use the unused frequency bands, and improve the efficiency of spectrum usage. In order to enhance the spectrum sensing performance of the cognitive radio, we regard a multi-antenna energy detector as a cognitive relay (CR relay), and use multiple cognitive relay to implement cooperative spectrum sensing. Multi-antenna energy detector receives the signal of the primary user by using beamforming. Beamforming technology can strengthen the primary user’s signal, and thus enhance the spectrum sensing performance of the cognitive relay.
In cooperative spectrum sensing system, the communication between CR relay and fusion center is the wireless channel, which will suffer from the influence of channel uncertainty and reduce the spectrum sensing performance. In order to effectively improve its communication quality, we use Multi-Input Multi-Output (MIMO) in the communication between CR relay and fusion center. An important factor that affects the performance of the cooperative spectrum sensing system is the decision method. We can improve the detection efficiency of the cognitive radio system through the optimization of the decision method.
中文摘要 .................................... I
英文摘要 .................................... II
誌謝 .................................... III
目錄 .................................... IV
圖目錄 .................................... VI
表目錄 .................................... VIII
第一章 緒論................................ 1
1.1 研究背景............................ 1
1.2 研究動機............................ 3
1.3 研究目的............................ 4
1.4 論文架構............................ 4
第二章 感知無線電.......................... 7
2.1 背景................................ 7
2.2 系統................................ 9
2.3 感知無線電技術...................... 10
2.4 頻譜感測............................ 12
2.4.1 傳輸端感測.......................... 13
2.4.2 能量偵測器.......................... 13
第三章 多天線系統.......................... 17
 3.1 多天線系統(Multi-Antenna)........... 17
 3.2 多天線於感知中繼端.................. 17
 3.3 波束成型(Beamforming)............... 19
第四章 合作式頻譜偵測...................... 23
 4.1 合作式頻譜偵測簡介.................. 23
 4.2 決策融合(decision fusion)........... 24
 4.3 決策融合之最佳化.................... 27
  4.3.1 投票規則最佳化...................... 27
 4.4 Maximum Likeihood(ML)估測法......... 30
第五章 模擬與分析.......................... 35
5.1 感知中繼端模擬...................... 35
5.2 多感知中繼端之合作時頻譜感測模擬.... 38
5.2.1 後端通道無錯誤率之情形.............. 38
5.2.2 後端通道有錯誤率之情形.............. 45
第六章 結論及未來展望...................... 53
 6.1 結論................................ 53
 6.2 未來展望............................ 54
參考文獻 .................................... 55
[1] M. A. McHenry, “NSF spectrum occupancy measurements project summary,” Shared Spectrum Company, August 2005.
[2] L. Khalid, and A. Anpalagan, “Emerging cognitive radio technology: Principles, challenges and opportunities,” Computers & Electrical Engineering, vol. 36, no. 2, pp. 358-366, March 2010.
[3] S. Haykin, “Cognitive radio: brain-empowered wireless communications,” IEEE Journal on Selected Areas in Communications, vol. 23, no. 2, pp. 201-220, February 2005.
[4] Weifang Wang, “Spectrum Sensing for Cognitive Radio,” The third International Symposium on Intelligent Information Technology Applications Workshop (IITAW), November 2009.
[5] J. Mitola, and G. Q. Maguire Jr., “Cognitive radio: making software radios more personal,” IEEE Personal Communications, vol. 6, no. 4, pp. 13-18, August 1999.
[6] J. Mitola III, “Cognitive Radio: An Integrated Agent Architecture for Software Defined Radio”, Ph. D. diss., Royal Institute of Technology, Sweden, 8 May 2000.
[7] 廖建興,感知無線電-最新技術發展趨勢概論Retrieved April 20, 2016, from http://www.cteccb.org.tw/pdf/BSMI-IECQ-101-06.pdf
[8] Wei Zhang, R. K. Mallik, and K. Letaief, “Cooperative Spectrum Sensing Optimization in Cognitive Radio Networks,” IEEE International Conference on Communications 2008 (ICC '08), pp. 3411-3415, May 2008.
[9] 溫信綸,”以能量偵測器為基礎之合作式偵測數據融合於感知無線電”, 國立東華大學電機工程研究所碩士論文, 2015.
[10] N.A. Moseley, “Radio resource discovery for ad-hoc wireless networking,” Electrical Engineering, Mathematics and Computer Science, August 2004.
[11] T. Weiss, J. Hillenbrand, A. Krohn, and F. K. Jondral, “Mutual interference in OFDM-based spectrum pooling systems,” IEEE 59th Vehicular Technology Conference 2004 (VTC '04), vol. 4, pp. 1873-1877, May 2004.
[12] M. Subhedar, and G. Birajdar, “Spectrum sensing techniques in cognitive radio networks: A survey,’’International Journal of Next-Generation Networks (IJNGN), vol. 3, no. 2, June 2011.
[13] T. Yucek, and H. Arslan, “A survey of spectrum sensing algorithms for cognitive radio applications,” IEEE Communications Surveys & Tutorials, vol. 11, no. 1, pp. 116-130, March 2009.
[14] D. Cabric, A. Tkachenko, and R. Brodersen, (2006) “Spectrum sensing measurements of pilot, energy and collaborative detection,” in Proc. IEEE Military Commun. Conf., Washington, D.C., USA, pp: 1-7.
[15] A. Sahai, N. Hoven, and R. Tandra, “Some fundamental limits on cognitive radio,” in Proc. 42nd Allerton Conf. Commun., Control, and Comput., Oct. 2004.
[16] P. D. Sutton, K. E. Nolan, and L. E. Doyle, “Cyclostationary signatures in practical cognitive radio applications,” IEEE J. Sel. Areas Commun., vol. 26, no. 1, pp. 13–24, Jan. 2008.
[17] A. Shahzad et al., “Comparative Analysis of Primary Transmitter Detection Based Spectrum Sensing Techniques in Cognitive Radio Systems,’’ Australian Journal of Basic and Applied Sciences, vol. 4, no. 9, pp. 4522-4531, January 2010.
[18] E. Hossain, V. Bhargava, “Cognitive Wireless Communication Networks,” Springer, 2007.
[19] L. Doyle, “Essentials of Cognitive Radio,” Cambridge University Press, 2009.
[20] I. F. Akyildiz, B. F. Lo, Ravikumar, and R. Balakrishnan, “Cooperative spectrum sensing in cognitive radio networks: A survey,” Physical Communication, pp. 40-62, March 2011.
[21] A. Tkachenko, D. Cabric, and R. W. Brodersen, “Cyclostationary feature detector experiments using reconfigurable BEE2,” IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks 2007 (DySPAN '07), pp. 216-219, April 2007.
[22] S. Atapattu, C. Tellambura, and H. Jiang, “Energy detection based cooperative spectrum sensing in cognitive radio networks,” IEEE Trans. Wirel. Commun., 10(4):1232–1241, Apr. 2011.
[23] S. Atapattu, C. Tellambura, H. Jiang,’’Energy Detection for Spectrum Sensing in Cognitive radio’’,(Springer briefs in computer science), pp.12-20, December 2013.
[24] S. Atapattu, C. Tellambura, H. Jiang,’’Energy Detection for Spectrum Sensing in Cognitive radio’’,(Springer briefs in computer science), pp.63-71, December 2013.
[25] Yunxue Liu, Dongfeng Yuan, et al., "Analysis of square-law combining for cognitive radios over Nakagami channels," WiCom'09 5th International Conference on, pp.1-4, 2009.
[26] D. Teguig, B. Scheers, and V. Le Nir, "Data Fusion Schemes for Cooperative Spectrum Sensing in Cognitive Radio Networks," Military commun. and information sys. Conf. (MCC), pp. 1-7, Poland, Oct. 2012.
[27] 林文立,MIMO與波束成形相得益彰LTE覆蓋率/傳輸品質大增Retrieved April 20, 2016, from http://www.2cm.com.tw/windowofplayers_content.asp?sn=1201190013
[28] R. Schmidt, "Multiple emitter location and signal parameter estimation", IEEE Trans. Antennas Propag., vol. AP-34, no. 3, pp. 276-280, 1986
[29] B. Ottersten, Mats Viberg and Thomas Kailath, “Performance Analysis of the Total Least Squares ESPRIT Algorithm,” IEEE Transaction on Signal Processing, Volume: 39, No. 5, May 1991. pp.1122-1135
[30] R. Roy and T. Kailath, "ESPRIT - Estimation of Signal Parameters via Rotational Invariance Techniques", IEEE Trans. on ASSP, vol. ASSP-37, no. 7, pp. 984-995, 1989
[31] M. Pastorino and A. Randazzo, "A smart antenna system for direction of arrival estimation based on a support vector regression", IEEE Trans. Antennas Propag., vol. 53, no. 7, pp. 2161-2168, 2005
[32] A. Ghasemi and E. Sousa, “Collaborative Spectrum Sensing for Opportunistic Access in Fading Environments,” in Proceedings of the first IEEE Symposium on New Frontiers in Dynamic Spectrum Access Networks, 2005.
[33] S. Mishra, A. Sahai, and R. Brodersen, “Cooperative sensing among cognitive radios,” in Proc. IEEE Int. Conf. Commun., vol. 2, Istanbul, Turkey, May 2006, pp. 1658–1663.
[34] W. Zhang, R. Mallik, and K. Letaief, “Optimization of cooperative spectrum sensing with energy detection in cognitive radio networks,” IEEE Trans. Wireless Commun., vol. 8, no. 12, pp. 5761–5766, Dec. 2009.
[35] Jingming Wang; Daneshrad, B., "A comparative study of MIMO detection algorithms for wideband spatial multiplexing systems," IEEE Wireless Communications and Networking Conference, vol.1, pp.408,413 Vol. 1, 13-17 March 2005.
[36] 林品榮, "使用干擾對齊於行動通道下受到都普勒效應的MIMO 系統效能分析",國立東華大學電機工程研究所碩士論文, 2014.

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