(3.235.108.188) 您好!臺灣時間:2021/02/28 00:19
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:::

我願授權國圖
: 
twitterline
研究生:楊璨妃
研究生(外文):Yang, Tsan-Fei
論文名稱:運用多天線主動式干擾對準與消除技術於重疊式感知無線通訊
論文名稱(外文):MIMO Active Interference Alignment and Cancellation for Underlay Cognitive Radio
指導教授:吳仁銘
指導教授(外文):Wu, Jenn-Ming
學位類別:碩士
校院名稱:國立清華大學
系所名稱:通訊工程研究所
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:2010
畢業學年度:98
語文別:英文
論文頁數:35
中文關鍵詞:重疊式感知無線通訊主動式干擾對準與消除技術多天線
相關次數:
  • 被引用被引用:0
  • 點閱點閱:190
  • 評分評分:系統版面圖檔系統版面圖檔系統版面圖檔系統版面圖檔系統版面圖檔
  • 下載下載:10
  • 收藏至我的研究室書目清單書目收藏:0
近年來,頻寬資源的縮減已經成為通訊系統裡的重要問題。感知無線通訊(Cognitive Radio)被視為解決這個問題最有效的技術。它最主要的精神便是在不干擾主要使用者(Primary User)的情況下,將未被使用的頻寬資源供應給次要使用者(Cognitive User),以期達到最佳的頻寬使用效率。截至今日,學界已累積了許關於如何減少干擾並提高解碼效能的研究。在這篇論文裡,我們提出利用次要使用者的其中一根天線,傳送一組足夠抵消次要使用者對主要使用者所產生之干擾的信號。我們的系統架構是由一對次要使用者的傳送端與接受端和主要使用者的收發端所組成,並且假設主要使用者的頻寬小於次要使用者。由於頻寬大小不等,我們可以確信這兩者的取樣頻率是相異的。
在這篇論文中,我們考慮兩個干擾的來源:(1)自次要使用者的天線所傳來的干擾。(2)次要使用者與主要使用者重疊的頻寬內,子載波間的干擾。我們利用主要使用者的其中一根天線來傳送抵銷干擾的信號給主要使用者。模擬中,這個方法成功得抵銷干擾。在次要使用者的接收端,我們也採用最大概似方法搭配QR分解以得到最佳的解碼效能。在這樣的搭配之下,這篇論文所提出的創新方法不但可以抵銷干擾並兼顧雙方使用者的解碼效能。

In recent years, the lack of spectrum resources has becomed a widely concerned issue in the communication system. Cognitive radio is considered as an efficient solution to this spectrum utilization problem. As we know, the fundamental idea of cognitive radio is not to interfere with the authorized user. There are a lot literature have investigated on how to null the interference cause by the cognitive users but increase the decoding performance at the
cognitive user’s receiver. In this thesis, we present a novel scheme that aligns the interference from the antennas of the cognitive user such that the interference to the primary user is nullified or minimized. The two-user multiple-input multiple-output(MIMO) interference channel is considered. We assume that bandwidth of primary user and the cognitive user is unequal and the transmission bandwidth of the primary user is called victim band.Because of the unequal transmission bandwidth, the sampling rates of the two users are not necessarily equal. Two sources of interferences are considered in the alignment. One source is the spatial interference from different antennas of the cognitive user. The other source is the inter-carrier interference (ICI) from the in-victim band of cognitive user to the victim band of primary user. An active antenna of the cognitive user is used to align with the spatial
interference from the antennas of the cognitive user and ICI such that the interference to the primary user is nullified. The simulation shows that the scheme created a > 100dB notch on the transmission spectrum of the victim band. This scheme allows the cognitive user to utilize the victim band simultaneously with the primary user and leads to underlay cognitive radio transmission. We also present a soft successive interference cancellation with maximum likelihood(ML) detection method at the receiver of the cognitive user to detect the signal within the victim band. The error performance at the cognitive receiver of this underlay cognitive radio system is presented as well.
Abstract i
Contents iii
1 Introduction 1
1.1 Background 1
1.2 Motivation 2
1.3 Thesis Organization 4
2 System Model 5
2.1 Review of Cognitive Radio 5
2.1.1 Spectrum Underlay Model 5
2.1.2 Spectrum Overlay Model 6
2.2 Detect and Avoidance Technique 7
2.3 Interference Alignment Techniques Review 9
2.3.1 Interference Alignment 9
2.3.2 Interference Alignment and Cancellation 10
2.3.3 Opportunistic interference Alignment 12
2.4 System Model 13
3 Proposed MIMO Active interference Alignment at transmitter side 16
3.1 Interference at the Primary user 16
3.2 Up-sampling procedure 18
3.3 Interference Cancellation 20
3.4 Antenna Selection of the Active Antenna 21
4 Signal Detection of Cognitive User Receiver 22
4.1 Maximum Likelihood(ML) detection 22
4.2 Successive Interference Cancellation(SIC) and QR decomposition 23
5 Simulation Results 25
5.1 Trasmitter side: AIA 25
5.1.1 Simulation Parameters 25
5.1.2 Simulation Results 26
5.2 Receiver side: Ordered ML-SIC 28
5.3 Antenna Selection of the Active Antenna 30
6 Conclusion 32
[1] “Facilitating opportunities for flexible, efficient, and relaiable spectrum use employing cognitive fadio technologies, notice of proposed rule making and order,” FCC 03-322 Federal Communications Commission, 2003.
[2] I. Mitola, J. and J. Maguire, G.Q., “Cognitive radio: Making software radios more personal,” IEEE Personal Communications, vol. 6, no. 4, pp. 13 –18, aug. 1999.
[3] S. Mishra, R. Brodersen, S. Brink, and R. Mahadevappa, “Detect and avoid: An ultrawideband/WiMAX coexistence mechanism [topics in radio communications],” IEEE
Communications Magazine, vol. 45, no. 6, pp. 68 –75, june. 2007.
[4] S. Haykin, “Cognitive radio: Brain-empowered wireless communications,” IEEE Jour-nal on Selected Areas in Communications, vol. 23, no. 2, pp. 201 – 220, feb. 2005.
[5] H. Yamaguchi, “Active interference cancellation technique for MB-OFDM cognitive radio,” Microwave Conference,34th European, vol. 2, pp. 1105 – 1108, 2004.
[6] Q. Zhao and B. Sadler, “A survey of dynamic spectrum access,” IEEE Signal Processing Magazine, vol. 24, no. 3, pp. 79 –89, may. 2007.
[7] G. Scutari, D. Palomar, and S. Barbarossa, “Cognitive MIMO radio,” IEEE Signal Processing Magazine, vol. 25, no. 6, pp. 46 –59, november. 2008.
[8] V. Cadambe and S. Jafar, “Interference alignment and spatial degrees of freedom for the k user interference channel,” IEEE International Conference on Communications,
2008., pp. 971 –975, 2008.
[9] S. Jafar and S. Shamai, “Degrees of freedom region of the MIMO x channel,” IEEE Transactions on Information Theory, vol. 54, no. 1, pp. 151 –170, jan. 2008.
[10] P. Wolniansky, G. Foschini, G. Golden, and R. Valenzuela, “Sic: An architecture for realizing very high data-rates over the richscattering wireless channel,” IEEE International Symposium on Signals, Systems and Electronics, sep. 1998.
[11] J. Mitola, “Cognitive radio,” Licentiate proposal, KTH, Stockholm, Sweden.
[12] S. Srinivasa and S. Jafar, “The throughput potential of cognitive radio: A theoretical perspective,” Fortieth Asilomar Conference on Signals, Systems and Computers., pp.
221 –225, oct. 2006.
[13] H. Weingarten, S. Shamai, and G. Kramer, “On the compound MIMO broadcast channel,”Proceedings of Annual Information Theory and Applications Workshop UCSD,
jan. 2007.
[14] M. Maddah-Ali, A. Motahari, and A. Khandani, “Signaling over MIMO multi-base systems: Combination of multi-access and broadcast schemes,” IEEE International Sym-
posium on Information Theory, pp. 2104 –2108, 2006.
[15] ——, “Communication over x channel: Signaling and multiplexing gain,” Tech. Report.
UW-ECE-2006-12, University of Waterloo, july. 2006.
[16] ——, “Communication over x channel: Signaling and performance analysis,” Tech. Report. UW-ECE-2006-27, University of Waterloo, dec. 2006.
[17] S. Jafar and S. Shamai, “Degrees of freedom of the MIMO x channel,” IEEE Global Telecommunications Conference, 2007., pp. 1632 –1636, 2007.
[18] S. D. P. Shyamnath Gollakota and D. Katabi,“Interference alignment and cancellation,”Sigcomm., 2009.
[19] S. Perlaza, M. Debbah, S. Lasaulce, and J.-M. Chaufray, “Opportunistic interference alignment in MIMO interference channels,” IEEE 19th International Symposium on Personal, Indoor and Mobile Radio Communications., pp. 1 –5, 2008.
連結至畢業學校之論文網頁點我開啟連結
註: 此連結為研究生畢業學校所提供,不一定有電子全文可供下載,若連結有誤,請點選上方之〝勘誤回報〞功能,我們會盡快修正,謝謝!
QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top
無相關論文
 
系統版面圖檔 系統版面圖檔