Cooperative Spectrum Sensing Based on Random Matrix Theory

Sahai A. Spectrum sensing: Fundamental limits and practicalchallenges, DySPAN 2005 tutorial part I [C]. DySPAN 2005,Maryland, Nov 2005: 1-138.[2]Cardoso L S, Debbah M, and Bianchi P. Cooperativespectrum sensing using random matrix theory [C]. ISWPC,Santorini, 7-9 May 2008: 334-338.[3]Zeng Yong-hong and Liang Ying-chang. Maximum minimumeigenvalue detection for cognitive radio [C]. The 18th AnnualIEEE International Symposium on Personal, Indoor andMobile Radio Communications (PIMRC'07), Athens, 3-7Sept. 2007: 1-5.[4]Tulino A M and Verdu S. Random Matrix Theory andWireless Communications [M]. Boston: Now Publishers Inc,2004: 168-189.[5]Mehta M L. Random Matrices [M]. Third edition, London:Academic Press, 2006: 394-438.[6]Bai Z D and Silverstein Jack W. Spectral Analysis of LargeDimensional Random Matrices [M]. Beijing: Science Press,2006: 283-357.[7]Bai Z D. Methodologies in spectral analysis of largedimensional random matrices, a review [J]. Statistica Sinica,1999, 9(1): 611-677.[8]Johnstone I M. On the distribution of the largest eigenvaluein principle components analysis [J]. The Annals of Statistics,2001, 29(2): 295-327.[9]Johansson K. Shape fluctuations and random matrices [J].Communications in Mathematical Physics.2000, 209(2):437-476[10]Tracy C A and Widom H. On orthogonal and symplecticmatrix ensembles [J]. Communications in MathematicalPhysics, 1996, 177(3): 727-754.[11]Ghasemi A and Sousa E S. Collaborative spectrum sensingfor opportunistic access in fading environments [C]. FirstIEEE International Symposium on New Frontiers in DynamicSpectrum Access Networks (DySPAN 2005), Maryland, Nov2005: 131-136.[12]Ghasemi A and Sousa E S. Spectrum Sensing in CognitiveRadio Networks: The Cooperation-Processing Tradeoff [M].USA: WILEY, 2007: 1049-1060.